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[1] Pei-Sung Lin,et al. Impact of Connected Vehicles and Autonomous Vehicles on Future Transportation , 2016 .
[2] Li-Ta Hsu,et al. Probability estimation for pedestrian crossing intention at signalized crosswalks , 2015, 2015 IEEE International Conference on Vehicular Electronics and Safety (ICVES).
[3] Yizhou Yu,et al. Visual saliency based on multiscale deep features , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[4] Wolfram Burgard,et al. Efficient deep models for monocular road segmentation , 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[5] P. Fua,et al. Pose estimation for category specific multiview object localization , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[6] Stefan Roth,et al. Stixmantics: A Medium-Level Model for Real-Time Semantic Scene Understanding , 2014, ECCV.
[7] Dumitru Erhan,et al. Going deeper with convolutions , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[8] Kenji Mase,et al. Recognition of walking behaviors for pedestrian navigation , 2001, Proceedings of the 2001 IEEE International Conference on Control Applications (CCA'01) (Cat. No.01CH37204).
[9] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[10] H. Ishiguro,et al. EXPLORING THE UNCANNY VALLEY WITH GEMINOID HI-1 IN A REAL-WORLD APPLICATION , 2010 .
[11] R. Krauss,et al. Nonverbal Behavior and Nonverbal Communication: What do Conversational Hand Gestures Tell Us? , 1996 .
[12] Sanja Fidler,et al. Monocular 3D Object Detection for Autonomous Driving , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[13] Luc Van Gool,et al. The 2005 PASCAL Visual Object Classes Challenge , 2005, MLCW.
[14] Paola Mello,et al. Image analysis and rule-based reasoning for a traffic monitoring system , 1999, Proceedings 199 IEEE/IEEJ/JSAI International Conference on Intelligent Transportation Systems (Cat. No.99TH8383).
[15] David G. Lowe,et al. Object recognition from local scale-invariant features , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[16] Michael C. Pyryt. Human cognitive abilities: A survey of factor analytic studies , 1998 .
[17] Nalini Ambady,et al. Nonverbal communication and psychology: Past and future , 1999 .
[18] Juan Carlos Niebles,et al. Modeling Temporal Structure of Decomposable Motion Segments for Activity Classification , 2010, ECCV.
[19] B E Sabey,et al. INTERACTING ROLES OF ROAD ENVIRONMENT VEHICLE AND ROAD USER IN ACCIDENTS , 1975 .
[20] P. Mundy,et al. Individual differences in joint attention skill development in the second year , 1998 .
[21] C. Darwin. The Expression of the Emotions in Man and Animals , .
[22] Zehang Sun,et al. On-road vehicle detection using evolutionary Gabor filter optimization , 2005, IEEE Transactions on Intelligent Transportation Systems.
[23] Luc Van Gool,et al. Human Pose Estimation Using Body Parts Dependent Joint Regressors , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[24] Young-Woo Seo,et al. Recognizing temporary changes on highways for reliable autonomous driving , 2012, 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC).
[25] A. Mehrabian. Public Places and Private Spaces:The Psychology of Work, Play, and Living Environments , 1980 .
[26] Hossein Ragheb,et al. MuHAVi: A Multicamera Human Action Video Dataset for the Evaluation of Action Recognition Methods , 2010, 2010 7th IEEE International Conference on Advanced Video and Signal Based Surveillance.
[27] Andrew Zisserman,et al. 2D Human Pose Estimation in TV Shows , 2009, Statistical and Geometrical Approaches to Visual Motion Analysis.
[28] Albert Ali Salah,et al. Joint visual attention modeling for naturally interacting robotic agents , 2009, 2009 24th International Symposium on Computer and Information Sciences.
[29] David G. Lowe,et al. Three-Dimensional Object Recognition from Single Two-Dimensional Images , 1987, Artif. Intell..
[30] James W. Davis,et al. The Recognition of Human Movement Using Temporal Templates , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[31] Luc Van Gool,et al. Segmentation-Based Urban Traffic Scene Understanding , 2009, BMVC.
[32] H. Barlow. Inductive Inference, Coding, Perception, and Language , 1974, Perception.
[33] Arnold W. M. Smeulders,et al. Color Based Object Recognition , 1997, ICIAP.
[34] Tova Rosenbloom,et al. Crossing at a red light: Behaviour of individuals and groups , 2009 .
[35] Ronen Lerner,et al. Recent progress in road and lane detection: a survey , 2012, Machine Vision and Applications.
[36] Jiri Matas,et al. A system for real-time detection and tracking of vehicles from a single car-mounted camera , 2012, 2012 15th International IEEE Conference on Intelligent Transportation Systems.
[37] Roland Siegwart,et al. A data-driven approach for pedestrian intention estimation , 2016, 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC).
[38] Hanghang Tong,et al. Activity recognition with smartphone sensors , 2014 .
[39] Trevor Darrell,et al. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[40] Sebastian Thrun,et al. Probabilistic Terrain Analysis For High-Speed Desert Driving , 2006, Robotics: Science and Systems.
[41] Kang-Hyun Jo,et al. Estimation of collision risk for improving driver's safety , 2016, IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society.
[42] Dariu Gavrila,et al. A new benchmark for stereo-based pedestrian detection , 2011, 2011 IEEE Intelligent Vehicles Symposium (IV).
[43] John K. Tsotsos,et al. Agreeing to cross: How drivers and pedestrians communicate , 2017, 2017 IEEE Intelligent Vehicles Symposium (IV).
[44] Xiaowei Zhou,et al. Sparseness Meets Deepness: 3D Human Pose Estimation from Monocular Video , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[45] Bolei Zhou,et al. Places: A 10 Million Image Database for Scene Recognition , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[46] A. Bourke,et al. A threshold-based fall-detection algorithm using a bi-axial gyroscope sensor. , 2008, Medical engineering & physics.
[47] Dan Roth,et al. Learning a Sparse Representation for Object Detection , 2002, ECCV.
[48] Rahul Mohan,et al. Deep Deconvolutional Networks for Scene Parsing , 2014, ArXiv.
[49] Avshalom Suissa,et al. The Daimler-Benz steering assistant: a spin-off from autonomous driving , 1994, Proceedings of the Intelligent Vehicles '94 Symposium.
[50] Daniel Hepperle,et al. Hybrid City Lighting - Improving Pedestrians' Safety through Proactive Street Lighting , 2015, 2015 International Conference on Cyberworlds (CW).
[51] Ragunathan Rajkumar,et al. Towards a viable autonomous driving research platform , 2013, 2013 IEEE Intelligent Vehicles Symposium (IV).
[52] Hans P. Moravec. Obstacle avoidance and navigation in the real world by a seeing robot rover , 1980 .
[53] Josephine Sullivan,et al. Using Richer Models for Articulated Pose Estimation of Footballers , 2012, BMVC.
[54] Massimiliano Pontil,et al. Support Vector Machines for 3D Object Recognition , 1998, IEEE Trans. Pattern Anal. Mach. Intell..
[55] Takeo Kanade,et al. A statistical method for 3D object detection applied to faces and cars , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).
[56] Richard Bishop. Intelligent Vehicle Applications Worldwide , 2000, IEEE Intell. Syst..
[57] R. Brooks,et al. The cog project: building a humanoid robot , 1999 .
[58] Gerald J.S. Wilde,et al. Immediate and delayed social interaction in road user behaviour , 1980 .
[59] A. K. Basu. A Theory of Decision-Making , 1973, The Journal of Sociology & Social Welfare.
[60] Massimo Bertozzi,et al. Vision-based intelligent vehicles: State of the art and perspectives , 2000, Robotics Auton. Syst..
[61] Brian Scassellati. Mechanisms of Shared Attention for a Humanoid Robot , 1998 .
[62] Judith A. Hall,et al. Beliefs about female and male nonverbal communication , 1995 .
[63] Tobias Lagström,et al. AVIP - Autonomous vehicles' interaction with pedestrians - An investigation of pedestrian-driver communication and development of a vehicle external interface , 2016 .
[64] John M. Dolan,et al. A robust autonomous freeway driving algorithm , 2009, 2009 IEEE Intelligent Vehicles Symposium.
[65] Roland Siegwart,et al. Feature Relevance Estimation for Learning Pedestrian Behavior at Crosswalks , 2015, 2015 IEEE 18th International Conference on Intelligent Transportation Systems.
[66] Hideki Kozima,et al. Interactive robots for communication-care: a case-study in autism therapy , 2005, ROMAN 2005. IEEE International Workshop on Robot and Human Interactive Communication, 2005..
[67] Motoyuki Akamatsu,et al. Electrophysiological evaluation of attention in drivers and passengers: Toward an understanding of drivers’ attentional state in autonomous vehicles , 2016 .
[68] Wolfram Burgard,et al. Autonomous driving in a multi-level parking structure , 2009, 2009 IEEE International Conference on Robotics and Automation.
[69] Edward H. Adelson,et al. Analyzing and recognizing walking figures in XYT , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
[70] Osama Masoud,et al. Detection and classification of vehicles , 2002, IEEE Trans. Intell. Transp. Syst..
[71] Mubarak Shah,et al. Action MACH a spatio-temporal Maximum Average Correlation Height filter for action recognition , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[72] Jun Tani,et al. Joint attention between a humanoid robot and users in imitation game , 2004 .
[73] Andreas Lawitzky,et al. A Combined Model- and Learning-Based Framework for Interaction-Aware Maneuver Prediction , 2016, IEEE Transactions on Intelligent Transportation Systems.
[74] Jean Underwood,et al. Visual attention while driving: sequences of eye fixations made by experienced and novice drivers , 2003, Ergonomics.
[75] Harold Bekkering,et al. Joint attention: Inferring what others perceive (and don’t perceive) , 2008, Consciousness and Cognition.
[76] Cordelia Schmid,et al. Actions in context , 2009, CVPR.
[77] Pietro Perona,et al. Object class recognition by unsupervised scale-invariant learning , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..
[78] Sebastian Scherer,et al. VoxNet: A 3D Convolutional Neural Network for real-time object recognition , 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[79] Thomas A. Dingus,et al. The Impact of Driver Inattention on Near-Crash/Crash Risk: An Analysis Using the 100-Car Naturalistic Driving Study Data , 2006 .
[80] Nan Gao,et al. A Pedestrian Dead Reckoning system using SEMG based on activities recognition , 2016, 2016 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC).
[81] A. Murata,et al. Natural imitation induced by joint attention in Japanese monkeys. , 2003, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.
[82] Silvio Savarese,et al. What are they doing? : Collective activity classification using spatio-temporal relationship among people , 2009, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops.
[83] M. Dimatteo,et al. Predicting Patient Satisfaction from Physicians’ Nonverbal Communication Skills , 1980, Medical care.
[84] Tae-Kyun Kim,et al. STARE: Spatio-Temporal Attention Relocation for Multiple Structured Activities Detection , 2015, IEEE Transactions on Image Processing.
[85] Nanning Zheng,et al. Automatic salient object segmentation based on context and shape prior , 2011, BMVC.
[86] Miquel Sànchez-Marrè,et al. A purely reactive navigation scheme for dynamic environments using Case-Based Reasoning , 2006, Auton. Robots.
[87] Pietro Perona,et al. One-shot learning of object categories , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[88] John K. Tsotsos. Toward a computational model of visual attention , 1995 .
[89] Luc Van Gool,et al. Traffic sign recognition — How far are we from the solution? , 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).
[90] Cynthia Breazeal,et al. Robot in Society: Friend or Appliance? , 1999 .
[91] Noah Snavely,et al. NYC3DCars: A Dataset of 3D Vehicles in Geographic Context , 2013, 2013 IEEE International Conference on Computer Vision.
[92] Jake K. Aggarwal,et al. Human activity recognition from 3D data: A review , 2014, Pattern Recognit. Lett..
[93] Weiyu Zhang,et al. From Actemes to Action: A Strongly-Supervised Representation for Detailed Action Understanding , 2013, 2013 IEEE International Conference on Computer Vision.
[94] Bir Bhanu,et al. VideoWeb Dataset for Multi-camera Activities and Non-verbal Communication , 2011 .
[95] Derek Hoiem,et al. Indoor Segmentation and Support Inference from RGBD Images , 2012, ECCV.
[96] Antonio Torralba,et al. Sharing features: efficient boosting procedures for multiclass object detection , 2004, CVPR 2004.
[97] Indira Thouvenin,et al. Estimating Driver Unawareness of Pedestrian Based On Visual Behaviors and Driving Behaviors , 2014, VISIGRAPP 2014.
[98] Rynson W. H. Lau,et al. Exemplar-Driven Top-Down Saliency Detection via Deep Association , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[99] Christian Szegedy,et al. DeepPose: Human Pose Estimation via Deep Neural Networks , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[100] Bolei Zhou,et al. Learning Deep Features for Scene Recognition using Places Database , 2014, NIPS.
[101] Luca Gatti,et al. The VisLab Intercontinental Autonomous Challenge: 13,000 km, 3 months,… no driver , 2010 .
[102] Yves Demazeau,et al. A Social Reasoning Mechanism Based On Dependence Networks , 1997, ECAI.
[103] Siva R K Narla,et al. The Evolution of Connected Vehicle Technology: From Smart Drivers to Smart Cars to....Self-Driving Cars. , 2013 .
[104] Tieniu Tan,et al. Silhouette Analysis-Based Gait Recognition for Human Identification , 2003, IEEE Trans. Pattern Anal. Mach. Intell..
[105] C. Wöhler,et al. A TIME-DELAY NEURAL NETWORK ALGORITHM FOR REAL-TIME PEDESTRIAN RECOGNITION , 1998 .
[106] Zehang Sun,et al. On-road vehicle detection: a review , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[107] R. Sternberg,et al. Toward a Unified Componential Theory of Human Reasoning. , 1978 .
[108] Thomas Serre,et al. HMDB: A large video database for human motion recognition , 2011, 2011 International Conference on Computer Vision.
[109] Ennio Gambi,et al. Time synchronization and data fusion for RGB-Depth cameras and inertial sensors in AAL applications , 2015, 2015 IEEE International Conference on Communication Workshop (ICCW).
[110] Greg Mori,et al. Social roles in hierarchical models for human activity recognition , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[111] Paul S. Rosenbloom,et al. Improving Rule-Based Systems Through Case-Based Reasoning , 1991, AAAI.
[112] D. Clay,et al. Driver attitude and attribution : implications for accident prevention , 1995 .
[113] B. Soheilian,et al. CIRCULAR ROAD SIGN EXTRACTION FROM STREET LEVEL IMAGES USING COLOUR, SHAPE AND TEXTURE DATABASE MAPS , 2009 .
[114] Thomas Mauthner,et al. Improved Sport Activity Recognition using Spatio-temporal Context , 2014 .
[115] Illah R. Nourbakhsh,et al. A survey of socially interactive robots , 2003, Robotics Auton. Syst..
[116] A. Scheflen. THE SIGNIFICANCE OF POSTURE IN COMMUNICATION SYSTEMS. , 1964, Psychiatry.
[117] Thomas Zielke,et al. An integrated obstacle detection framework for intelligent cruise control on motorways , 1995, Proceedings of the Intelligent Vehicles '95. Symposium.
[118] Junji Yamato,et al. Recognizing human action in time-sequential images using hidden Markov model , 1992, Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[119] Zsolt Kira,et al. Fusing LIDAR and images for pedestrian detection using convolutional neural networks , 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).
[120] Frédo Durand,et al. Where Should Saliency Models Look Next? , 2016, ECCV.
[121] R. Birdwhistell. Kinesics and Context: Essays on Body Motion Communication , 1971 .
[122] F. Larsson,et al. Correlating fourier descriptors of local patches for road sign recognition , 2011 .
[123] Jitendra Malik,et al. Shape Context: A New Descriptor for Shape Matching and Object Recognition , 2000, NIPS.
[124] Chun Chen,et al. A survey of human pose estimation: The body parts parsing based methods , 2015, J. Vis. Commun. Image Represent..
[125] Song-Chun Zhu,et al. Recognizing Car Fluents from Video , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[126] Aude Billard,et al. Studying robot social cognition within a developmental psychology framework , 1999, 1999 Third European Workshop on Advanced Mobile Robots (Eurobot'99). Proceedings (Cat. No.99EX355).
[127] Xiaolin Hu,et al. Recurrent convolutional neural network for object recognition , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[128] Massimo Bertozzi,et al. Stereo Vision-based approaches for Pedestrian Detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops.
[129] Tomaso A. Poggio,et al. Pedestrian detection using wavelet templates , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[130] G. Rizzolatti,et al. Parietal Lobe: From Action Organization to Intention Understanding , 2005, Science.
[131] Klaus C. J. Dietmayer,et al. Stereo-Vision-Based Pedestrian's Intention Detection in a Moving Vehicle , 2015, 2015 IEEE 18th International Conference on Intelligent Transportation Systems.
[132] Shaogang Gong,et al. Real-time face pose estimation , 1998, Real Time Imaging.
[133] R. Johansson,et al. Action plans used in action observation , 2003, Nature.
[134] Sangho Park,et al. Recognition of two-person interactions using a hierarchical Bayesian network , 2003, IWVS '03.
[135] Ashwin Ram,et al. A Case-Based Approach to Reactive Control for Autonomous Robots * , 1992 .
[136] Katharine Hunter-Zaworski,et al. Passive Pedestrian Detection at Unsignalized Crossings , 1998 .
[137] James H. Garrett,et al. A neural network for image based vehicle detection , 1992 .
[138] Gina Green,et al. Behavioral assessment of joint attention: a methodological report. , 2006, Research in developmental disabilities.
[139] Alberto Broggi,et al. Vehicle and Guard Rail Detection Using Radar and Vision Data Fusion , 2007, IEEE Transactions on Intelligent Transportation Systems.
[140] Larry S. Davis,et al. AVSS 2011 demo session: A large-scale benchmark dataset for event recognition in surveillance video , 2011, AVSS.
[141] Shengcai Liao,et al. Robust Multi-resolution Pedestrian Detection in Traffic Scenes , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[142] R. Elsley,et al. The DARPA grand challenge - development of an autonomous vehicle , 2004, IEEE Intelligent Vehicles Symposium, 2004.
[143] Herbert Jaeger. Artificial intelligence: Deep neural reasoning , 2016, Nature.
[144] Jana M. Price,et al. The Relationship between Crash Rates and Drivers' Hazard Assessments Using the Connecticut Photolog , 2000 .
[145] Cordelia Schmid,et al. Mixing Body-Part Sequences for Human Pose Estimation , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[146] Greg Mori,et al. Structure Inference Machines: Recurrent Neural Networks for Analyzing Relations in Group Activity Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[147] Jian Sun,et al. Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[148] S. Handel,et al. Social reasoning and spatial paralogic. , 1965, Journal of personality and social psychology.
[149] Jiebo Luo,et al. Recognizing realistic actions from videos “in the wild” , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[150] Nobuyuki Uchida,et al. Driver behavior in car-to-pedestrian incidents: An application of the Driving Reliability and Error Analysis Method (DREAM). , 2013, Accident; analysis and prevention.
[151] Matúš Šucha,et al. Road users’ strategies and communication: driver-pedestrian interaction , 2014 .
[152] Changxu Wu,et al. The estimation of vehicle speed and stopping distance by pedestrians crossing streets in a naturalistic traffic environment , 2015 .
[153] Yukie Nagai,et al. The Role of Motion Information in Learning Human-Robot Joint Attention , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.
[154] H. Kozima,et al. A Robot that Learns to Communicate with Human Caregivers , 2001 .
[155] Randall Davis,et al. Meta-Rules: Reasoning about Control , 1980, Artif. Intell..
[156] Hirotake Yamazoe,et al. Gaze-communicative behavior of stuffed-toy robot with joint attention and eye contact based on ambient gaze-tracking , 2007, ICMI '07.
[157] Bo Zhang,et al. Color-based road detection in urban traffic scenes , 2004, IEEE Transactions on Intelligent Transportation Systems.
[158] Deva Ramanan,et al. Learning to parse images of articulated bodies , 2006, NIPS.
[159] Seiichi Mita,et al. Vehicle detection and tracking at nighttime for urban autonomous driving , 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[160] Kent Larson,et al. Activity Recognition in the Home Using Simple and Ubiquitous Sensors , 2004, Pervasive.
[161] Rodney A. Brooks,et al. Elephants don't play chess , 1990, Robotics Auton. Syst..
[162] Arati Dandavate,et al. Semantic Texton Forests for Image Categorization and Segmentation , 2018, IJARCCE.
[163] Francisco López-Ferreras,et al. Road-Sign Detection and Recognition Based on Support Vector Machines , 2007, IEEE Transactions on Intelligent Transportation Systems.
[164] Andrew E. Johnson,et al. Using Spin Images for Efficient Object Recognition in Cluttered 3D Scenes , 1999, IEEE Trans. Pattern Anal. Mach. Intell..
[165] A. Enis Çetin,et al. HMM Based Falling Person Detection Using Both Audio and Video , 2005, 2006 IEEE 14th Signal Processing and Communications Applications.
[166] Larry H. Matthies,et al. First-Person Activity Recognition: What Are They Doing to Me? , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[167] Charles E. Thorpe,et al. UNSCARF-a color vision system for the detection of unstructured roads , 1991, Proceedings. 1991 IEEE International Conference on Robotics and Automation.
[168] Markus Vincze,et al. Automation of “ground truth” annotation for multi-view RGB-D object instance recognition datasets , 2014, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[169] Christoph H. Lampert,et al. Learning to detect unseen object classes by between-class attribute transfer , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[170] Danqi Chen,et al. Reasoning With Neural Tensor Networks for Knowledge Base Completion , 2013, NIPS.
[171] Bernhard Friedrich,et al. The Effect of Autonomous Vehicles on Traffic , 2016 .
[172] C. Moore,et al. The role of movement in the development of joint visual attention , 1997 .
[173] W. von Seelen,et al. Walking pedestrian recognition , 1999, Proceedings 199 IEEE/IEEJ/JSAI International Conference on Intelligent Transportation Systems (Cat. No.99TH8383).
[174] Sebastian Thrun,et al. Stanley: The robot that won the DARPA Grand Challenge , 2006, J. Field Robotics.
[175] G. Rizzolatti,et al. I Know What You Are Doing A Neurophysiological Study , 2001, Neuron.
[176] P. Mundy,et al. Joint Attention and Early Social Communication: Implications for Research on Intervention with Autism , 1997, Journal of autism and developmental disorders.
[177] Bart Selman,et al. Unstructured human activity detection from RGBD images , 2011, 2012 IEEE International Conference on Robotics and Automation.
[178] Johannes Stallkamp,et al. Detection of traffic signs in real-world images: The German traffic sign detection benchmark , 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).
[179] Max Q.-H. Meng,et al. Impacts of Robot Head Gaze on Robot-to-Human Handovers , 2015, Int. J. Soc. Robotics.
[180] Jannik Fritsch,et al. A multi-modal object attention system for a mobile robot , 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[181] Takayuki Kanda,et al. Nonverbal leakage in robots: Communication of intentions through seemingly unintentional behavior , 2009, 2009 4th ACM/IEEE International Conference on Human-Robot Interaction (HRI).
[182] Bernt Schiele,et al. Monocular Visual Scene Understanding: Understanding Multi-Object Traffic Scenes , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[183] Tetsuo Ono,et al. Physical relation and expression: joint attention for human-robot interaction , 2003, IEEE Trans. Ind. Electron..
[184] Antonio Torralba,et al. Exploiting hierarchical context on a large database of object categories , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[185] Dariu Gavrila,et al. Analysis of pedestrian dynamics from a vehicle perspective , 2014, 2014 IEEE Intelligent Vehicles Symposium Proceedings.
[186] Svetlana Lazebnik,et al. Active Object Localization with Deep Reinforcement Learning , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[187] John K. Tsotsos. Analyzing vision at the complexity level , 1990, Behavioral and Brain Sciences.
[188] R. R. Blake,et al. Status factors in pedestrain violation of traffic signals. , 1955, Journal of abnormal psychology.
[189] Akira Ito,et al. An attention-based approach to symbol acquisition , 1998, Proceedings of the 1998 IEEE International Symposium on Intelligent Control (ISIC) held jointly with IEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA) Intell.
[190] Charles A. Green,et al. Human Factors Issues Associated with Limited Ability Autonomous Driving Systems: Drivers’ Allocation of Visual Attention to the Forward Roadway , 2017 .
[191] ByoungChul Ko,et al. Pedestrian intention prediction based on dynamic fuzzy automata for vehicle driving at nighttime , 2017 .
[192] Michael J. Swain,et al. Color indexing , 1991, International Journal of Computer Vision.
[193] Karl Verfaillie,et al. Representing and anticipating human actions in vision , 2002 .
[194] P. Johnson-Laird,et al. Focussing in reasoning and decision making , 1993, Cognition.
[195] John K. Tsotsos,et al. Are They Going to Cross? A Benchmark Dataset and Baseline for Pedestrian Crosswalk Behavior , 2017, 2017 IEEE International Conference on Computer Vision Workshops (ICCVW).
[196] Andrew U. Frank,et al. Qualitative spatial reasoning about distances and directions in geographic space , 1992, J. Vis. Lang. Comput..
[197] Herbert Freeman,et al. Characteristic Views As A Basis For Three-Dimensional Object Recognition , 1982, Other Conferences.
[198] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[199] Rainer Lienhart,et al. An extended set of Haar-like features for rapid object detection , 2002, Proceedings. International Conference on Image Processing.
[200] Byeongkeun Kang,et al. A computational framework for driver's visual attention using a fully convolutional architecture , 2017, 2017 IEEE Intelligent Vehicles Symposium (IV).
[201] N W Heimstra,et al. An experimental methodology for analysis of child pedestrian behavior. , 1969, Pediatrics.
[202] D. Sperber,et al. Précis of Relevance: Communication and Cognition , 1987 .
[203] Mohan M. Trivedi,et al. A General Active-Learning Framework for On-Road Vehicle Recognition and Tracking , 2010, IEEE Transactions on Intelligent Transportation Systems.
[204] Andrea Lockerd Thomaz,et al. Effects of nonverbal communication on efficiency and robustness in human-robot teamwork , 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[205] Peter V. Gehler,et al. Strong Appearance and Expressive Spatial Models for Human Pose Estimation , 2013, 2013 IEEE International Conference on Computer Vision.
[206] Sameer A. Nene,et al. Columbia Object Image Library (COIL100) , 1996 .
[207] Emilio Frazzoli,et al. Intention-Aware Pedestrian Avoidance , 2012, ISER.
[208] Anupam Agrawal,et al. Vision based hand gesture recognition for human computer interaction: a survey , 2012, Artificial Intelligence Review.
[209] R. Chapuis,et al. Shape-based pedestrian detection and localization , 2003, Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems.
[210] Kang Zheng,et al. Combining local appearance and holistic view: Dual-Source Deep Neural Networks for human pose estimation , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[211] Se-Young Oh,et al. Three-feature based automatic lane detection algorithm (TFALDA) for autonomous driving , 2003, IEEE Trans. Intell. Transp. Syst..
[212] Dieter Fox,et al. Learning hierarchical sparse features for RGB-(D) object recognition , 2014, Int. J. Robotics Res..
[213] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[214] Sergio Escalera,et al. Multi-modal gesture recognition challenge 2013: dataset and results , 2013, ICMI '13.
[215] Luc Van Gool,et al. A mobile vision system for robust multi-person tracking , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[216] Rainer Stiefelhagen,et al. A Controlled Interactive Multiple Model Filter for Combined Pedestrian Intention Recognition and Path Prediction , 2015, 2015 IEEE 18th International Conference on Intelligent Transportation Systems.
[217] Fei-Fei Li,et al. Modeling mutual context of object and human pose in human-object interaction activities , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[218] Vincent Lepetit,et al. Learning descriptors for object recognition and 3D pose estimation , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[219] Kam-Fai Wong,et al. Towards Neural Network-based Reasoning , 2015, ArXiv.
[220] Markus Vincze,et al. Survey of recent advances in 3D visual attention for robotics , 2017, Int. J. Robotics Res..
[221] Ramesh C. Jain,et al. Three-dimensional object recognition , 1985, CSUR.
[222] Bernard Ghanem,et al. ActivityNet: A large-scale video benchmark for human activity understanding , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[223] Vincent Frémont,et al. Exploiting fully convolutional neural networks for fast road detection , 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).
[224] M. Tomasello,et al. Social cognition, joint attention, and communicative competence from 9 to 15 months of age. , 1998, Monographs of the Society for Research in Child Development.
[225] Mohan M. Trivedi,et al. Robust and continuous estimation of driver gaze zone by dynamic analysis of multiple face videos , 2014, 2014 IEEE Intelligent Vehicles Symposium Proceedings.
[226] Thierry Chateau,et al. Deep MANTA: A Coarse-to-Fine Many-Task Network for Joint 2D and 3D Vehicle Analysis from Monocular Image , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[227] M. Crocker,et al. Investigating joint attention mechanisms through spoken human–robot interaction , 2011, Cognition.
[228] Nicole van Nes,et al. The study design of UDRIVE: the naturalistic driving study across Europe for cars, trucks and scooters , 2016 .
[229] Bill Triggs,et al. Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[230] John K. Tsotsos,et al. Towards the Quantitative Evaluation of Visual Attention Models Bottom−up Top-down Dynamic Static 0 0 0 , 2022 .
[231] Larry S. Davis,et al. Multiple vehicle detection and tracking in hard real-time , 1996, Proceedings of Conference on Intelligent Vehicles.
[232] Christof Koch,et al. A Model of Saliency-Based Visual Attention for Rapid Scene Analysis , 2009 .
[233] Reinhold Behringer,et al. The seeing passenger car 'VaMoRs-P' , 1994, Proceedings of the Intelligent Vehicles '94 Symposium.
[234] Pietro Perona,et al. Pedestrian Detection: An Evaluation of the State of the Art , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[235] Luis Salgado,et al. Video analysis-based vehicle detection and tracking using an MCMC sampling framework , 2012, EURASIP J. Adv. Signal Process..
[236] Dariu Gavrila,et al. UvA-DARE ( Digital Academic Repository ) Pedestrian Path Prediction with Recursive Bayesian Filters : A Comparative Study , 2013 .
[237] M. Asada,et al. How does an infant acquire the ability of joint attention?: A Constructive Approach , 2003 .
[238] Ming-Hsuan Yang,et al. Top-down visual saliency via joint CRF and dictionary learning , 2012, CVPR.
[239] Hideki Kozima,et al. Can a robot empathize with people? , 2004, Artificial Life and Robotics.
[240] Satish V. Ukkusuri,et al. Modeling of Motorist-Pedestrian Interaction at Uncontrolled Mid-block Crosswalks , 2003 .
[241] S. Baron-Cohen. Mindblindness: An Essay on Autism and Theory of Mind , 1997 .
[242] S. Axelrod,et al. Eye contact as an antecedent to compliant behavior. , 1984, Journal of applied behavior analysis.
[243] Yaser Sheikh,et al. OpenPose: Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[244] Kenji Mase,et al. Activity and Location Recognition Using Wearable Sensors , 2002, IEEE Pervasive Comput..
[245] Cynthia Breazeal,et al. Social Robots that Interact with People , 2008, Springer Handbook of Robotics.
[246] C. Lawrence Zitnick,et al. Zero-Shot Learning via Visual Abstraction , 2014, ECCV.
[247] Joan Serrat,et al. Nighttime Vehicle Detection for Intelligent Headlight Control , 2008, ACIVS.
[248] Mohan M. Trivedi,et al. Looking-in and looking-out vision for Urban Intelligent Assistance: Estimation of driver attentive state and dynamic surround for safe merging and braking , 2014, 2014 IEEE Intelligent Vehicles Symposium Proceedings.
[249] Dariu Gavrila,et al. Context-Based Pedestrian Path Prediction , 2014, ECCV.
[250] Antonio Criminisi,et al. Object categorization by learned universal visual dictionary , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[251] Nassir Navab,et al. 3D Pictorial Structures for Multiple Human Pose Estimation , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[252] Richard P. Wildes,et al. Dynamically encoded actions based on spacetime saliency , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[254] Jianxiong Xiao,et al. 3D ShapeNets: A deep representation for volumetric shapes , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[255] David A. McAllester,et al. Object Detection with Discriminatively Trained Part Based Models , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[256] James Hays,et al. SUN attribute database: Discovering, annotating, and recognizing scene attributes , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[257] Alex Graves,et al. Neural Turing Machines , 2014, ArXiv.
[258] Ling Bao,et al. Activity Recognition from User-Annotated Acceleration Data , 2004, Pervasive.
[259] Krista A. Ehinger,et al. SUN database: Large-scale scene recognition from abbey to zoo , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[260] Xiaogang Wang,et al. Saliency detection by multi-context deep learning , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[261] Rui Zhang,et al. Top-Down Saliency Detection via Contextual Pooling , 2014, J. Signal Process. Syst..
[262] Pietro Perona,et al. Integral Channel Features , 2009, BMVC.
[263] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[264] Charles E. Thorpe,et al. Vision-based neural network road and intersection detection and traversal , 1995, Proceedings 1995 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human Robot Interaction and Cooperative Robots.
[265] Dumitru Erhan,et al. Scalable Object Detection Using Deep Neural Networks , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[266] Christoph Stiller,et al. Comparison and evaluation of pedestrian motion models for vehicle safety systems , 2016, 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC).
[267] Pietro Perona,et al. Microsoft COCO: Common Objects in Context , 2014, ECCV.
[268] Dean A. Pomerleau,et al. Neural Network Vision for Robot Driving , 1997 .
[269] Alex Mihailidis,et al. A Survey on Ambient-Assisted Living Tools for Older Adults , 2013, IEEE Journal of Biomedical and Health Informatics.
[270] Yang Wang,et al. Recognizing human actions from still images with latent poses , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[271] Massimo Bertozzi,et al. Stereo vision-based vehicle detection , 2000, Proceedings of the IEEE Intelligent Vehicles Symposium 2000 (Cat. No.00TH8511).
[272] Mubarak Shah,et al. Recognizing 50 human action categories of web videos , 2012, Machine Vision and Applications.
[273] Feng Jiang,et al. Pedestrian behavior analysis using 110-car naturalistic driving data in USA , 2013 .
[274] Christopher R. Baker,et al. A reasoning framework for autonomous urban driving , 2008, 2008 IEEE Intelligent Vehicles Symposium.
[275] Karl Rohr,et al. Incremental recognition of pedestrians from image sequences , 1993, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
[276] Ho Gi Jung,et al. A New Approach to Urban Pedestrian Detection for Automatic Braking , 2009, IEEE Transactions on Intelligent Transportation Systems.
[277] Michael Goldhammer,et al. Analysis on termination of pedestrians' gait at urban intersections , 2014, 17th International IEEE Conference on Intelligent Transportation Systems (ITSC).
[278] Amaury Nègre,et al. Probabilistic Analysis of Dynamic Scenes and Collision Risks Assessment to Improve Driving Safety , 2011, IEEE Intelligent Transportation Systems Magazine.
[279] Varun Ramakrishna,et al. Convolutional Pose Machines , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[280] Guodong Guo,et al. A survey on still image based human action recognition , 2014, Pattern Recognit..
[281] Stan Sclaroff,et al. Learning Activity Progression in LSTMs for Activity Detection and Early Detection , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[282] Albert Ali Salah,et al. Head Pose and Neural Network Based Gaze Direction Estimation for Joint Attention Modeling in Embodied Agents , 2009 .
[283] Luc Van Gool,et al. You'll never walk alone: Modeling social behavior for multi-target tracking , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[284] G. P. Bhattacharjee,et al. Temporal representation and reasoning in artificial intelligence: A review , 2001 .
[285] Stanley M. Bileschi,et al. Street Scenes: towards scene understanding in still images , 2006 .
[286] Mubarak Shah,et al. Floor Fields for Tracking in High Density Crowd Scenes , 2008, ECCV.
[287] Kaiming He,et al. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[288] Renee L Baillargeon,et al. Physical Reasoning in Infancy , 2012 .
[289] Alberto Broggi,et al. Vision-Based Road Detection in Automotive Systems: A Real-Time Expectation-Driven Approach , 1995, J. Artif. Intell. Res..
[290] Cordelia Schmid,et al. Learning realistic human actions from movies , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[291] Greg Mori,et al. Learning Structured Inference Neural Networks with Label Relations , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[292] Miguel A. Labrador,et al. A Survey on Human Activity Recognition using Wearable Sensors , 2013, IEEE Communications Surveys & Tutorials.
[293] Ming Yang,et al. 3D Convolutional Neural Networks for Human Action Recognition , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[294] Hiroshi Murase,et al. Prediction of driver's pedestrian detectability by image processing adaptive to visual fields of view , 2014, 17th International IEEE Conference on Intelligent Transportation Systems (ITSC).
[295] L. Cosmides. The logic of social exchange: Has natural selection shaped how humans reason? Studies with the Wason selection task , 1989, Cognition.
[296] Jeremy M Wolfe,et al. Visual Attention , 2020, Computational Models for Cognitive Vision.
[297] Huimin Ma,et al. 3D Object Proposals for Accurate Object Class Detection , 2015, NIPS.
[298] S. Gallagher,et al. Joint attention in joint action , 2013 .
[299] Kristian Stormo. Human Fall Detection Using Distributed Monostatic UWB Radars , 2014 .
[300] Christoph Stiller,et al. Path Planning for Autonomous Driving Based on Stereoscopic and Monoscopic Vision Cues , 2006, 2006 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems.
[301] Valiallah Monajjemi,et al. UAV, do you see me? Establishing mutual attention between an uninstrumented human and an outdoor UAV in flight , 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[302] E. D. Dickmanns,et al. A Curvature-based Scheme for Improving Road Vehicle Guidance by Computer Vision , 1987, Other Conferences.
[303] Roberto Cipolla,et al. DEEP-CARVING: Discovering visual attributes by carving deep neural nets , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[304] Daniel Göhring,et al. Online vehicle detection using deep neural networks and lidar based preselected image patches , 2016, 2016 IEEE Intelligent Vehicles Symposium (IV).
[305] I. Walker,et al. Drivers' gaze fixations during judgements about a bicyclist's intentions , 2007 .
[306] John K. Tsotsos,et al. Active object recognition , 1992, Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[307] Hans Rudi Fischer,et al. Abductive Reasoning as a Way of Worldmaking , 2001 .
[308] Xiaogang Wang,et al. Deep Learning Strong Parts for Pedestrian Detection , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[309] Larry S. Davis,et al. Probabilistic template based pedestrian detection in infrared videos , 2002, Intelligent Vehicle Symposium, 2002. IEEE.
[310] L. Carlson,et al. Spatial Reasoning , 2010 .
[311] C. J. Radford,et al. Vehicle detection in open-world scenes using a Hough transform technique , 1989 .
[312] I. Hyman,et al. Did you see the unicycling clown? Inattentional blindness while walking and talking on a cell phone , 2009 .
[313] Mohan M. Trivedi,et al. Attention estimation by simultaneous analysis of viewer and view , 2014, 17th International IEEE Conference on Intelligent Transportation Systems (ITSC).
[314] Shumeet Baluja,et al. Evolution of an artificial neural network based autonomous land vehicle controller , 1996, IEEE Trans. Syst. Man Cybern. Part B.
[315] Klaus Dietmayer,et al. Pedestrian recognition in urban traffic using a vehicle based multilayer laserscanner , 2002, Intelligent Vehicle Symposium, 2002. IEEE.
[316] Ernest Davis,et al. Physical Reasoning , 2008, Handbook of Knowledge Representation.
[317] Andrea Palazzi,et al. DR(eye)VE: A Dataset for Attention-Based Tasks with Applications to Autonomous and Assisted Driving , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[318] András Kovács,et al. Enhancements of V2X communication in support of cooperative autonomous driving , 2015, IEEE Communications Magazine.
[319] Fabian Kröger,et al. Automated Driving in Its Social, Historical and Cultural Contexts , 2016 .
[320] Ankur Agarwal,et al. 3D human pose from silhouettes by relevance vector regression , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..
[321] Michael Goldhammer,et al. Early prediction of a pedestrian's trajectory at intersections , 2013, 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013).
[322] Johannes Stallkamp,et al. The German Traffic Sign Recognition Benchmark: A multi-class classification competition , 2011, The 2011 International Joint Conference on Neural Networks.
[323] Dariu Gavrila,et al. Real-time object detection for "smart" vehicles , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[324] Manfred Tscheligi,et al. Three Strategies for Autonomous Car-to-Pedestrian Communication: A Survival Guide , 2017, HRI.
[325] Jana Novovičová,et al. Road Sign Classification without Color Information , 2000 .
[326] N. van Nes,et al. Understanding safety critical interactions between bicycles and motor vehicles in Europe by means of Naturalistic Driving techniques , 2012 .
[327] Anupam Agrawal,et al. A survey on activity recognition and behavior understanding in video surveillance , 2012, The Visual Computer.
[328] Allen Allport,et al. Visual attention , 1989 .
[329] Yoshinori Kuno,et al. Active eye contact for human-robot communication , 2004, CHI EA '04.
[330] G Underwood,et al. Visual attention and the transition from novice to advanced driver , 2007, Ergonomics.
[331] A. Tom,et al. Gender differences in pedestrian rule compliance and visual search at signalized and unsignalized crossroads. , 2011, Accident; analysis and prevention.
[332] Cordelia Schmid,et al. Human Detection Using Oriented Histograms of Flow and Appearance , 2006, ECCV.
[333] Matthijs C. Dorst. Distinctive Image Features from Scale-Invariant Keypoints , 2011 .
[334] Francisco Madrigal,et al. Intention-Aware Multiple Pedestrian Tracking , 2014, 2014 22nd International Conference on Pattern Recognition.
[335] Jitendra Malik,et al. Learning Rich Features from RGB-D Images for Object Detection and Segmentation , 2014, ECCV.
[336] Tom Michael Gasser. Fundamental and Special Legal Questions for Autonomous Vehicles , 2016 .
[337] Tsukasa Ogasawara,et al. A hand-pose estimation for vision-based human interfaces , 2003, IEEE Trans. Ind. Electron..
[338] Alan Hartley,et al. Joint Attention is Slowed in Older Adults , 2016, Experimental aging research.
[339] Arturo de la Escalera,et al. Traffic sign recognition and analysis for intelligent vehicles , 2003, Image Vis. Comput..
[340] George Yannis,et al. A critical assessment of pedestrian behaviour models , 2009 .
[341] Jian Sun,et al. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[342] Bernt Schiele,et al. 2D Human Pose Estimation: New Benchmark and State of the Art Analysis , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[343] Bingbing Ni,et al. HCP: A Flexible CNN Framework for Multi-Label Image Classification , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[344] Mike McDonald,et al. Study of pedestrians' gap acceptance behavior when they jaywalk outside crossing facilities , 2010, 13th International IEEE Conference on Intelligent Transportation Systems.
[345] S. Nowicki,et al. Individual differences in the nonverbal communication of affect: The diagnostic analysis of nonverbal accuracy scale , 1994 .
[346] Nicolas Guéguen,et al. A pedestrian’s stare and drivers’ stopping behavior: A field experiment at the pedestrian crossing , 2015 .
[347] Per Holth,et al. An Operant Analysis of Joint Attention Skills. , 2005 .
[348] G. Baird,et al. Testing joint attention, imitation, and play as infancy precursors to language and theory of mind , 2000 .
[349] Liang Lin,et al. Is Faster R-CNN Doing Well for Pedestrian Detection? , 2016, ECCV.
[350] Sanja Fidler,et al. Describing the scene as a whole: Joint object detection, scene classification and semantic segmentation , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[351] Wenyu Liu,et al. Traffic sign detection and recognition using fully convolutional network guided proposals , 2016, Neurocomputing.
[352] Alex Pentland,et al. Invariant features for 3-D gesture recognition , 1996, Proceedings of the Second International Conference on Automatic Face and Gesture Recognition.
[353] Andrea Palazzi,et al. Learning where to attend like a human driver , 2016, 2017 IEEE Intelligent Vehicles Symposium (IV).
[354] Dean A. Pomerleau,et al. Combining artificial neural networks and symbolic processing for autonomous robot guidance , 1991 .
[355] M. Tomasello,et al. Joint attention and lexical acquisition style , 1983 .
[356] Marco Dozza,et al. Introducing naturalistic cycling data: What factors influence bicyclists’ safety in the real world? , 2014 .
[357] Patrick Heinemann,et al. Context-based detection of pedestrian crossing intention for autonomous driving in urban environments , 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[358] Panos D. Bardis. Pi Gamma Mu , International Honor Society in Social Sciences Social Interaction and Social Processes , 2013 .
[359] Anders Lindgren,et al. Requirements for the Design of Advanced Driver Assistance Systems - The Differences between Swedish and Chinese Drivers , 2008 .
[360] Mohan M. Trivedi,et al. Vehicle Detection by Independent Parts for Urban Driver Assistance , 2013, IEEE Transactions on Intelligent Transportation Systems.
[361] Ying Wang,et al. Human Activity Recognition Based on R Transform , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[362] L. A. Zadeh,et al. Fuzzy logic and approximate reasoning , 1975, Synthese.
[363] Dariu Gavrila,et al. Multi-cue pedestrian classification with partial occlusion handling , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[364] Andrew Zisserman,et al. Progressive search space reduction for human pose estimation , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[365] T. Kanade,et al. Toward autonomous driving: the CMU Navlab. I. Perception , 1991, IEEE Expert.
[366] M. Tomasello,et al. Shared intentionality. , 2007, Developmental science.
[367] David González,et al. A Review of Motion Planning Techniques for Automated Vehicles , 2016, IEEE Transactions on Intelligent Transportation Systems.
[368] Julius Ziegler,et al. Making Bertha Drive—An Autonomous Journey on a Historic Route , 2014, IEEE Intelligent Transportation Systems Magazine.
[369] Dariu Gavrila,et al. An Experimental Study on Pedestrian Classification , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[370] Lluís Vila,et al. A Survey on Temporal Reasoning in Artificial Intelligence , 1994, AI Communications.
[371] Ulrich Brunsmann,et al. Autonomous evasive maneuvers triggered by infrastructure-based detection of pedestrian intentions , 2013, 2013 IEEE Intelligent Vehicles Symposium (IV).
[372] C. V. Jawahar,et al. Has My Algorithm Succeeded? An Evaluator for Human Pose Estimators , 2012, ECCV.
[373] Mohan M. Trivedi,et al. Trajectory analysis and prediction for improved pedestrian safety: Integrated framework and evaluations , 2015, 2015 IEEE Intelligent Vehicles Symposium (IV).
[374] Marilyn N. Abrams,et al. An Intelligent World Model for Autonomous Off-Road Driving , 2001 .
[375] Sebastian Thrun,et al. Self-supervised Monocular Road Detection in Desert Terrain , 2006, Robotics: Science and Systems.
[376] John M Sullivan,et al. Differences in geometry of pedestrian crashes in daylight and darkness. , 2011, Journal of safety research.
[377] John K. Tsotsos,et al. Understanding Pedestrian Behavior in Complex Traffic Scenes , 2018, IEEE Transactions on Intelligent Vehicles.
[378] Bin Yang,et al. Convolutional Channel Features , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[379] Aude Billard,et al. Experiments in Learning by Imitation - Grounding and Use of Communication in Robotic Agents , 1999, Adapt. Behav..
[380] Minoru Asada,et al. Developmental learning model for joint attention , 2002, IEEE/RSJ International Conference on Intelligent Robots and Systems.
[381] David Gerónimo Gómez,et al. Survey of Pedestrian Detection for Advanced Driver Assistance Systems , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[382] Jonathan Krause,et al. 3D Object Representations for Fine-Grained Categorization , 2013, 2013 IEEE International Conference on Computer Vision Workshops.
[383] Fan Yang,et al. Exploit All the Layers: Fast and Accurate CNN Object Detector with Scale Dependent Pooling and Cascaded Rejection Classifiers , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[384] Klaus C. J. Dietmayer,et al. Early detection of the Pedestrian's intention to cross the street , 2012, 2012 15th International IEEE Conference on Intelligent Transportation Systems.
[385] Nicholas Pennycooke. AEVITA : designing biomimetic vehicle-to-pedestrian communication protocols for autonomously operating & parking on-road electric vehicles , 2012 .
[386] Andreas Geiger,et al. Vision meets robotics: The KITTI dataset , 2013, Int. J. Robotics Res..
[387] Yoshua Bengio,et al. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention , 2015, ICML.
[388] David Hsu,et al. Intention-aware online POMDP planning for autonomous driving in a crowd , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).
[389] Luc Van Gool,et al. Object Classification with Adaptable Regions , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[390] K. Cave. The FeatureGate model of visual selection , 1999, Psychological research.
[391] Ernst D. Dickmanns,et al. Distributed Scene Analysis For Autonomous Road Vehicle Guidance , 1987, Other Conferences.
[392] Ivan Laptev,et al. ContextLocNet: Context-Aware Deep Network Models for Weakly Supervised Localization , 2016, ECCV.
[393] Xiaoou Tang,et al. Facial Landmark Detection by Deep Multi-task Learning , 2014, ECCV.
[394] Dariu Gavrila,et al. Monocular Pedestrian Detection: Survey and Experiments , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[395] Tao Deng,et al. Where Does the Driver Look? Top-Down-Based Saliency Detection in a Traffic Driving Environment , 2016, IEEE Transactions on Intelligent Transportation Systems.
[396] David W. Payton,et al. Planning and reasoning for autonomous vehicle control , 1987 .
[397] Feng Jiang,et al. Pilot study on pedestrian step frequency in naturalistic driving environment , 2013, 2013 IEEE Intelligent Vehicles Symposium (IV).
[398] Ben Taskar,et al. Parsing human motion with stretchable models , 2011, CVPR 2011.
[399] Mohan M. Trivedi,et al. Attention estimation by simultaneous observation of viewer and view , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops.
[400] Yehezkel Lamdan,et al. Object recognition by affine invariant matching , 2011, Proceedings CVPR '88: The Computer Society Conference on Computer Vision and Pattern Recognition.
[401] Ali Farhadi,et al. Actions ~ Transformations , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[402] Ronald Poppe,et al. A survey on vision-based human action recognition , 2010, Image Vis. Comput..
[403] Marek P. Michalowski,et al. Keepon , 2009, Int. J. Soc. Robotics.
[404] Ronen Basri,et al. Actions as Space-Time Shapes , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[405] Nasser Kehtarnavaz,et al. Traffic sign recognition in noisy outdoor scenes , 1995, Proceedings of the Intelligent Vehicles '95. Symposium.
[406] Koen E. A. van de Sande,et al. Selective Search for Object Recognition , 2013, International Journal of Computer Vision.
[407] Kenneth D. Forbus,et al. Solving Everyday Physical Reasoning Problems by Analogy Using Sketches , 2005, AAAI.
[408] Brian Scassellati. Knowing What to Imitate and Knowing When You Succeed , 2007 .
[409] Ashweeni Beeharee,et al. Is Joint Attention Detectable at a Distance? Three Automated, Internet-Based Tests. , 2016, Explore.
[410] Todd Litman,et al. Autonomous Vehicle Implementation Predictions: Implications for Transport Planning , 2015 .
[411] Rémi Ronfard,et al. A survey of vision-based methods for action representation, segmentation and recognition , 2011, Comput. Vis. Image Underst..
[412] Berthold Färber,et al. Communication and Communication Problems Between Autonomous Vehicles and Human Drivers , 2016 .
[413] Quoc V. Le,et al. Sequence to Sequence Learning with Neural Networks , 2014, NIPS.
[414] Fei-Fei Li,et al. Towards Viewpoint Invariant 3D Human Pose Estimation , 2016, ECCV.
[415] Nikolaos Papanikolopoulos,et al. Vision-based intelligent control of transportation systems , 1995, Proceedings of Tenth International Symposium on Intelligent Control.
[416] Tomoya Ishikawa,et al. A method of pedestrian dead reckoning using action recognition , 2010, IEEE/ION Position, Location and Navigation Symposium.
[417] Tomaso A. Poggio,et al. A Trainable System for Object Detection , 2000, International Journal of Computer Vision.
[418] A Várhelyi,et al. Drivers' speed behaviour at a zebra crossing: a case study. , 1998, Accident; analysis and prevention.
[419] Nicholas J. Ward,et al. OF VISION ENHANCEMENT SYSTEMS TO IMPROVE DRIVER SAFETY , 2016 .
[420] Du Tran,et al. Human Activity Recognition with Metric Learning , 2008, ECCV.
[421] Thomas A. Dingus,et al. Driver Inattention: A Contributing Factor to Crashes and Near-Crashes , 2005 .
[422] Yvonne Barnard,et al. UDRIVE: the European naturalistic driving study , 2014 .
[423] Wei Chen,et al. A research on automatic human fall detection method based on wearable inertial force information acquisition system , 2009, 2009 IEEE International Conference on Robotics and Biomimetics (ROBIO).
[424] Pinar Duygulu Sahin,et al. Recognizing actions from still images , 2008, 2008 19th International Conference on Pattern Recognition.
[425] Matthew W. Crocker,et al. Visual attention in spoken human-robot interaction , 2009, 2009 4th ACM/IEEE International Conference on Human-Robot Interaction (HRI).
[426] Ian D. Reid,et al. High Five: Recognising human interactions in TV shows , 2010, BMVC.
[427] Luis Moreno,et al. Road traffic sign detection and classification , 1997, IEEE Trans. Ind. Electron..
[428] D. Yagil. Beliefs, motives and situational factors related to pedestrians' self-reported behavior at signal-controlled crossings , 2000 .
[429] Ali Farhadi,et al. You Only Look Once: Unified, Real-Time Object Detection , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[430] B. Scassellati. Imitation and mechanisms of joint attention: a developmental structure for building social skills on a humanoid robot , 1999 .
[431] C.J. Tomlin,et al. Autonomous Automobile Trajectory Tracking for Off-Road Driving: Controller Design, Experimental Validation and Racing , 2007, 2007 American Control Conference.
[432] Rüdiger Dillmann,et al. Probabilistic decision-making under uncertainty for autonomous driving using continuous POMDPs , 2014, 17th International IEEE Conference on Intelligent Transportation Systems (ITSC).
[433] Thomas B. Moeslund,et al. Vision-Based Traffic Sign Detection and Analysis for Intelligent Driver Assistance Systems: Perspectives and Survey , 2012, IEEE Transactions on Intelligent Transportation Systems.
[434] Tae-Kyun Kim,et al. Tensor Canonical Correlation Analysis for Action Classification , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[435] Antonio Fernández-Caballero,et al. A survey of video datasets for human action and activity recognition , 2013, Comput. Vis. Image Underst..
[436] James J. Little,et al. Real-Time Human Motion Capture with Multiple Depth Cameras , 2016, 2016 13th Conference on Computer and Robot Vision (CRV).
[437] M. Argyle,et al. EYE-CONTACT, DISTANCE AND AFFILIATION. , 1965, Sociometry.
[438] Barbara Caputo,et al. Recognizing human actions: a local SVM approach , 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..
[439] Mohamed Aly,et al. Real time detection of lane markers in urban streets , 2008, 2008 IEEE Intelligent Vehicles Symposium.
[440] C. Michaels,et al. To Cross or Not to Cross: The Effect of Locomotion on Street-Crossing Behavior , 1996 .
[441] Ben Taskar,et al. MODEC: Multimodal Decomposable Models for Human Pose Estimation , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[442] Mehrtash Tafazzoli Harandi,et al. Going deeper into action recognition: A survey , 2016, Image Vis. Comput..
[443] Richard Wener,et al. Mobile telephones, distracted attention, and pedestrian safety. , 2008, Accident; analysis and prevention.
[444] G. Butterworth,et al. Towards a Mechanism of Joint Visual Attention in Human Infancy , 1980 .
[445] Thomas A. Dingus,et al. An overview of the 100-car naturalistic study and findings , 2005 .
[446] Jake K. Aggarwal,et al. Spatio-temporal relationship match: Video structure comparison for recognition of complex human activities , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[447] Geoffrey P. Goodwin,et al. Logic, probability, and human reasoning , 2015, Trends in Cognitive Sciences.
[448] Xiaogang Wang,et al. A discriminative deep model for pedestrian detection with occlusion handling , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[449] Yimin Zhang,et al. Radar Signal Processing for Elderly Fall Detection: The future for in-home monitoring , 2016, IEEE Signal Processing Magazine.
[450] Bernt Schiele,et al. Multi-cue onboard pedestrian detection , 2009, CVPR.
[451] Sebastian Thrun,et al. Autonomous driving in semi-structured environments: Mapping and planning , 2009, 2009 IEEE International Conference on Robotics and Automation.
[452] Mark H. Johnson,et al. The eye contact effect: mechanisms and development , 2009, Trends in Cognitive Sciences.
[453] Thomas Deselaers,et al. Weakly Supervised Localization and Learning with Generic Knowledge , 2012, International Journal of Computer Vision.
[454] Xiaogang Wang,et al. Multi-source Deep Learning for Human Pose Estimation , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[455] Koray Kavukcuoglu,et al. Visual Attention , 2020, Computational Models for Cognitive Vision.
[456] Lutz Priese,et al. Traffic Sign Recognition Based On Color Image Evaluationion , 1993, Proceedings of the Intelligent Vehicles '93 Symposium.
[457] Ivan Laptev,et al. Weakly supervised object recognition with convolutional neural networks , 2014 .
[458] Bilge Mutlu,et al. Coordination Mechanisms in Human-Robot Collaboration , 2013 .
[459] Roberto Cipolla,et al. Segmentation and Recognition Using Structure from Motion Point Clouds , 2008, ECCV.
[460] Anthony G. Cohn,et al. Qualitative Spatial Representation and Reasoning Techniques , 1997, KI.
[461] Minho Lee,et al. Human-Robot Interaction using Intention Recognition , 2015, HAI.
[462] Massimo Bertozzi,et al. Shape-based pedestrian detection , 2000, Proceedings of the IEEE Intelligent Vehicles Symposium 2000 (Cat. No.00TH8511).
[463] Joachim Hertzberg,et al. AI Reasoning Methods for Robotics , 2008, Springer Handbook of Robotics, 2nd Ed..
[464] M. Reed,et al. Intersection kinematics: A pilot study of driver turning behavior with application to pedestrian obscuration by A-pillars , 2008 .
[465] Bernt Schiele,et al. CityPersons: A Diverse Dataset for Pedestrian Detection , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[466] Francisco José Madrid-Cuevas,et al. Stereo Pictorial Structure for 2D articulated human pose estimation , 2015, Machine Vision and Applications.
[467] Hans P. Moravec,et al. The Stanford Cart and the CMU Rover , 1983, Proceedings of the IEEE.
[468] Alberto Broggi,et al. The ARGO Autonomous Vehicle , 2007 .
[469] Lynn Hasher,et al. Cultural differences in visual attention: Implications for distraction processing , 2017, British journal of psychology.
[470] Andrew Zisserman,et al. Domain Adaptation for Upper Body Pose Tracking in Signed TV Broadcasts , 2013, BMVC.
[471] P. Hancock,et al. The Perception of Arrival Time for Different Oncoming Vehicles at an Intersection , 1994 .
[472] Shaogang Gong,et al. Composite support vector machines for detection of faces across views and pose estimation , 2002, Image Vis. Comput..
[473] Ankit Laddha,et al. Map-supervised road detection , 2016, 2016 IEEE Intelligent Vehicles Symposium (IV).
[474] W. Ahearn,et al. Toward a behavioral analysis of joint attention , 2004, The Behavior analyst.
[475] David Crundall,et al. Driving experience and the acquisition of visual information , 1999 .
[476] Sergio Gomez Colmenarejo,et al. Hybrid computing using a neural network with dynamic external memory , 2016, Nature.
[477] Mohan Manubhai Trivedi,et al. When Vehicles See Pedestrians With Phones: A Multicue Framework for Recognizing Phone-Based Activities of Pedestrians , 2018, IEEE Transactions on Intelligent Vehicles.
[478] H. Bekkering,et al. Joint action: bodies and minds moving together , 2006, Trends in Cognitive Sciences.
[479] Takashi Naito,et al. Pedestrian recognition using high-definition LIDAR , 2011, 2011 IEEE Intelligent Vehicles Symposium (IV).
[480] Jian Dong,et al. Contextualizing Object Detection and Classification , 2015, IEEE Trans. Pattern Anal. Mach. Intell..
[481] Plamen Angelov,et al. A Comprehensive Review on Handcrafted and Learning-Based Action Representation Approaches for Human Activity Recognition , 2017 .
[482] Robert Bergevin,et al. Semantic human activity recognition: A literature review , 2015, Pattern Recognit..
[483] Jitendra Malik,et al. Recognizing action at a distance , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[484] Ramesh Raskar,et al. Learning Gaze Transitions from Depth to Improve Video Saliency Estimation , 2016, 2017 IEEE International Conference on Computer Vision (ICCV).
[485] Hideki Kozima,et al. An epigenetic approach to human-robot communication , 2000, Proceedings 9th IEEE International Workshop on Robot and Human Interactive Communication. IEEE RO-MAN 2000 (Cat. No.00TH8499).
[486] Massimo Bertozzi,et al. A real-time oriented system for vehicle detection , 1997, J. Syst. Archit..
[487] Liujuan Cao,et al. Robust vehicle detection by combining deep features with exemplar classification , 2016, Neurocomputing.
[488] Yoshiaki Shirai,et al. Object Recognition Using Three-Dimensional Information , 1981, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[489] Cristian Sminchisescu,et al. Human3.6M: Large Scale Datasets and Predictive Methods for 3D Human Sensing in Natural Environments , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[490] Chunhua Shen,et al. Pushing the Limits of Deep CNNs for Pedestrian Detection , 2016, IEEE Transactions on Circuits and Systems for Video Technology.
[491] Thierry Fraichard,et al. Fuzzy control to drive car-like vehicles , 2001, Robotics Auton. Syst..
[492] Matthew J. Hausknecht,et al. Beyond short snippets: Deep networks for video classification , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[493] Sebastian Ramos,et al. The Cityscapes Dataset for Semantic Urban Scene Understanding , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[494] Bernt Schiele,et al. Ten Years of Pedestrian Detection, What Have We Learned? , 2014, ECCV Workshops.
[495] Keita Higuchi,et al. Discovering Objects of Joint Attention via First-Person Sensing , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[496] Mohan M. Trivedi,et al. Looking at Humans in the Age of Self-Driving and Highly Automated Vehicles , 2016, IEEE Transactions on Intelligent Vehicles.
[497] Xiaoou Tang,et al. Pedestrian Attribute Recognition At Far Distance , 2014, ACM Multimedia.
[498] M. Golparvar-Fard,et al. Multi-class Traffic Sign Detection and Classification Using Google Street View Images , 2015 .
[499] Wei Wang,et al. Understanding and Modeling of WiFi Signal Based Human Activity Recognition , 2015, MobiCom.
[500] Sven J. Dickinson,et al. Active Object Recognition Integrating Attention and Viewpoint Control , 1994, Comput. Vis. Image Underst..
[501] Tomaso Poggio,et al. A Trainable Object Detection System: Car Detection in Static Images , 1999 .
[502] Ennio Gambi,et al. A Depth-Based Fall Detection System Using a Kinect® Sensor , 2014, Sensors.
[503] Mohan M. Trivedi,et al. Head, Eye, and Hand Patterns for Driver Activity Recognition , 2014, 2014 22nd International Conference on Pattern Recognition.
[504] Andrew Zisserman,et al. Convolutional Two-Stream Network Fusion for Video Action Recognition , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[505] C. Kleinke,et al. Compliance to requests made by gazing and touching experimenters in field settings. , 1977 .
[506] John K. Tsotsos,et al. Visual Saliency Improves Autonomous Visual Search , 2014, 2014 Canadian Conference on Computer and Robot Vision.
[507] Chonhyon Park,et al. HI Robot: Human intention-aware robot planning for safe and efficient navigation in crowds , 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[508] J. Crowley,et al. CAVIAR Context Aware Vision using Image-based Active Recognition , 2005 .
[509] Michael S. Bernstein,et al. ImageNet Large Scale Visual Recognition Challenge , 2014, International Journal of Computer Vision.
[510] Tat-Seng Chua,et al. NUS-WIDE: a real-world web image database from National University of Singapore , 2009, CIVR '09.
[511] Mohan M. Trivedi,et al. Looking at Vehicles on the Road: A Survey of Vision-Based Vehicle Detection, Tracking, and Behavior Analysis , 2013, IEEE Transactions on Intelligent Transportation Systems.
[512] Robert B. Noland,et al. Behavioural Issues in Pedestrian Speed Choice and Street Crossing Behaviour: A Review , 2008 .
[513] Shang-Hong Lai,et al. Fusing generic objectness and visual saliency for salient object detection , 2011, 2011 International Conference on Computer Vision.
[514] Kerstin Dautenhahn,et al. Issues of Robot-Human Interaction Dynamics in the Rehabilitation of Children with Autism , 2000 .
[515] Ross B. Girshick,et al. Fast R-CNN , 2015, 1504.08083.
[516] Ralf Philipsen,et al. From V2X to Control2Trust - Why Trust and Control Are Major Attributes in Vehicle2X Technologies , 2015, HCI.
[517] Ji Wan,et al. Multi-view 3D Object Detection Network for Autonomous Driving , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[518] Daniel C. Dennett,et al. Brainstorms: Philosophical Essays on Mind and Psychology , 1981 .
[519] Tae-Kyun Kim,et al. Unconstrained Monocular 3D Human Pose Estimation by Action Detection and Cross-Modality Regression Forest , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[520] A. Ito,et al. Why robots need body for mind communication - an attempt of eye-contact between human and robot , 2004, RO-MAN 2004. 13th IEEE International Workshop on Robot and Human Interactive Communication (IEEE Catalog No.04TH8759).
[521] Wendy Ju,et al. Ghost driver: A field study investigating the interaction between pedestrians and driverless vehicles , 2016, 2016 25th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN).
[522] Ling Shao,et al. Video Salient Object Detection via Fully Convolutional Networks , 2017, IEEE Transactions on Image Processing.
[523] R. Buck,et al. Verbal and Nonverbal Communication: Distinguishing Symbolic, Spontaneous, and Pseudo-Spontaneous Nonverbal Behavior , 2002 .
[524] Paul A. Viola,et al. Rapid object detection using a boosted cascade of simple features , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.
[525] Sinisa Segvic,et al. A computer vision assisted geoinformation inventory for traffic infrastructure , 2010, 13th International IEEE Conference on Intelligent Transportation Systems.
[526] Raúl Quintero,et al. Pedestrian path prediction based on body language and action classification , 2014, 17th International IEEE Conference on Intelligent Transportation Systems (ITSC).
[527] Paul E. Rybski,et al. A Multisensor Multiobject Tracking System for an Autonomous Vehicle Driving in an Urban Environment , 2008 .
[528] E. Goffman. The Presentation of Self in Everyday Life , 1959 .
[529] John K. Tsotsos,et al. Attention based on information maximization , 2010 .
[530] Gueesang Lee,et al. Fall Detection Based on Movement and Smart Phone Technology , 2012, 2012 IEEE RIVF International Conference on Computing & Communication Technologies, Research, Innovation, and Vision for the Future.
[531] Alex Krizhevsky,et al. Learning Multiple Layers of Features from Tiny Images , 2009 .
[532] Albert Ali Salah,et al. Joint Attention by Gaze Interpolation and Saliency , 2013, IEEE Transactions on Cybernetics.
[533] Gaurav Sharma,et al. AdaScan: Adaptive Scan Pooling in Deep Convolutional Neural Networks for Human Action Recognition in Videos , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[534] N. Chater,et al. The probabilistic approach to human reasoning , 2001, Trends in Cognitive Sciences.
[535] Sarah Schmidt,et al. Pedestrians at the kerb – Recognising the action intentions of humans , 2009 .
[536] Ennio Gambi,et al. Proposal and Experimental Evaluation of Fall Detection Solution Based on Wearable and Depth Data Fusion , 2015, ICT Innovations.
[537] John K. Tsotsos,et al. Integrating Three Mechanisms of Visual Attention for Active Visual Search , 2017, ArXiv.
[538] Ron Kimmel,et al. Rule of thumb: Deep derotation for improved fingertip detection , 2015, BMVC.
[539] Mubarak Shah,et al. UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild , 2012, ArXiv.
[540] Hossein Azizpour,et al. Multi-view Body Part Recognition with Random Forests , 2013, BMVC.
[541] Rémi Ronfard,et al. Free viewpoint action recognition using motion history volumes , 2006, Comput. Vis. Image Underst..
[542] Rüdiger Dillmann,et al. Using case-based reasoning for autonomous vehicle guidance , 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[543] William Whittaker,et al. Autonomous driving in urban environments: Boss and the Urban Challenge , 2008, J. Field Robotics.
[544] Matt Richtel,et al. Google’s Driverless Cars Run into Problem: Cars with Drivers , 2015 .
[545] Fei-Fei Li,et al. Large-Scale Video Classification with Convolutional Neural Networks , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[546] Farhi Marir,et al. Case-based reasoning: A review , 1994, The Knowledge Engineering Review.
[547] Ernst D. Dickmanns,et al. An integrated spatio-temporal approach to automatic visual guidance of autonomous vehicles , 1990, IEEE Trans. Syst. Man Cybern..
[548] Rainer Stiefelhagen,et al. “Look at this!” learning to guide visual saliency in human-robot interaction , 2014, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[549] R Risser,et al. Behavior in traffic conflict situations. , 1985, Accident; analysis and prevention.
[550] Pavlo Molchanov,et al. Multi-sensor system for driver's hand-gesture recognition , 2015, 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG).
[551] Don H. Zimmerman,et al. Joint attention as action , 2007 .
[552] Ralf Risser,et al. Pedestrian-driver communication and decision strategies at marked crossings. , 2017, Accident; analysis and prevention.
[553] W. Andrew Harrell,et al. Factors influencing pedestrian cautiousness in crossing streets , 1991 .
[554] Gwenn Englebienne,et al. Accurate activity recognition in a home setting , 2008, UbiComp.
[555] Mark Everingham,et al. Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation , 2010, BMVC.
[556] H. Simon,et al. Theories of Decision-Making in Economics and Behavioural Science , 1966 .
[557] James J. Clark,et al. Attentional Push: Augmenting Salience with Shared Attention Modeling , 2016, ArXiv.
[558] Lars Åberg,et al. Driver Behaviour in Intersections: Formal and Informal Traffic Rules , 2005 .
[559] Lei Chen,et al. Deep Structured Models For Group Activity Recognition , 2015, BMVC.
[560] Andrew Zisserman,et al. Two-Stream Convolutional Networks for Action Recognition in Videos , 2014, NIPS.
[561] Yang Wang,et al. Learning hierarchical poselets for human parsing , 2011, CVPR 2011.
[562] Shraga Shoval,et al. Micro-Simulation Model for Assessing the Risk of Vehicle–Pedestrian Road Accidents , 2015, J. Intell. Transp. Syst..
[563] Tomaso,et al. A Trainable System for People DetectionMichael , 1997 .
[564] Antonio Torralba,et al. Context-based vision system for place and object recognition , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[565] Xiaogang Wang,et al. Pedestrian detection aided by deep learning semantic tasks , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[566] Karl C. Kluge,et al. Extracting road curvature and orientation from image edge points without perceptual grouping into features , 1994, Proceedings of the Intelligent Vehicles '94 Symposium.
[567] Heinrich H. Bülthoff,et al. Going into depth: Evaluating 2D and 3D cues for object classification on a new, large-scale object dataset , 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).
[568] John K. Tsotsos,et al. Joint Attention in Autonomous Driving (JAAD) , 2016, ArXiv.
[569] Despina Stavrinos,et al. Distraction and pedestrian safety: how talking on the phone, texting, and listening to music impact crossing the street. , 2012, Accident; analysis and prevention.
[570] Andrew Zisserman,et al. Flowing ConvNets for Human Pose Estimation in Videos , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[571] Gary M. Weiss,et al. Activity recognition using cell phone accelerometers , 2011, SKDD.
[572] Ingo Wolf. The Interaction Between Humans and Autonomous Agents , 2016 .
[573] Hartmut König,et al. Location-independent fall detection with smartphone , 2013, PETRA '13.
[574] Sílvio Filipe,et al. RETRACTED ARTICLE: From the human visual system to the computational models of visual attention: a survey , 2015, Artificial Intelligence Review.
[575] Thomas Winkle,et al. Safety Benefits of Automated Vehicles: Extended Findings from Accident Research for Development, Validation and Testing , 2016 .
[576] D. Dolgov. Practical Search Techniques in Path Planning for Autonomous Driving , 2008 .
[577] Katerina Fragkiadaki,et al. Two-Granularity Tracking: Mediating Trajectory and Detection Graphs for Tracking under Occlusions , 2012, ECCV.
[578] Hema Swetha Koppula,et al. Learning human activities and object affordances from RGB-D videos , 2012, Int. J. Robotics Res..
[579] Xiaoming Liu,et al. Illuminating Pedestrians via Simultaneous Detection and Segmentation , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[580] Ali Borji,et al. Quantitative Analysis of Human-Model Agreement in Visual Saliency Modeling: A Comparative Study , 2013, IEEE Transactions on Image Processing.
[581] Namil Kim,et al. Multispectral pedestrian detection: Benchmark dataset and baseline , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[582] J. Bruner,et al. The capacity for joint visual attention in the infant , 1975, Nature.
[583] John K. Tsotsos,et al. On computational modeling of visual saliency: Examining what’s right, and what’s left , 2015, Vision Research.
[584] Martial Hebert,et al. Event Detection in Crowded Videos , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[585] Fumio Kishino,et al. Human posture estimation from multiple images using genetic algorithm , 1994, Proceedings of 12th International Conference on Pattern Recognition.
[586] Dean A. Pomerleau,et al. Progress in neural network-based vision for autonomous robot driving , 1992, Proceedings of the Intelligent Vehicles `92 Symposium.
[587] Tetsuo Ono,et al. Robovie: an interactive humanoid robot , 2001 .
[588] Andreas Geiger,et al. Joint 3D Estimation of Objects and Scene Layout , 2011, NIPS.
[589] Dieter Fox,et al. A large-scale hierarchical multi-view RGB-D object dataset , 2011, 2011 IEEE International Conference on Robotics and Automation.
[590] Gang Song,et al. Object Detection Combining Recognition and Segmentation , 2007, ACCV.
[591] Linda Ng Boyle,et al. The Interaction of Cognitive Load and Attention-Directing Cues in Driving , 2009, Hum. Factors.
[592] Ivan Laptev,et al. Recognizing human actions in still images: a study of bag-of-features and part-based representations , 2010, BMVC.
[593] Andrew Y. Ng,et al. Reading Digits in Natural Images with Unsupervised Feature Learning , 2011 .
[594] Maria Botero,et al. Tactless scientists: Ignoring touch in the study of joint attention , 2016 .
[595] Takayuki Kanda,et al. Interactive Humanoid Robots for a Science Museum , 2007, IEEE Intell. Syst..
[596] Robert B. Fisher,et al. The BEHAVE video dataset: ground truthed video for multi-person behavior classification , 2010 .