Task-dependent scene interpretation in driver assistance

x Kurzzusammenfassung xi

[1]  Christof Koch,et al.  A Model of Saliency-Based Visual Attention for Rapid Scene Analysis , 2009 .

[2]  Tommy Chang,et al.  Road detection and tracking for autonomous mobile robots , 2002, SPIE Defense + Commercial Sensing.

[3]  Jean-Yves Bouguet,et al.  Camera calibration toolbox for matlab , 2001 .

[4]  S. Treue Visual attention: the where, what, how and why of saliency , 2003, Current Opinion in Neurobiology.

[5]  Kurt Konolige,et al.  Small Vision Systems: Hardware and Implementation , 1998 .

[6]  Eric Bauer,et al.  An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants , 1999, Machine Learning.

[7]  Michel Devy,et al.  Robot Visual Navigation in Semi-structured Outdoor Environments , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.

[8]  Gianni Conte,et al.  ARGO prototype vehicle , 2001 .

[9]  Bärbel Mertsching,et al.  Visual Search in Static and Dynamic Scenes Using Fine-Grain Top-Down Visual Attention , 2008, ICVS.

[10]  Ernst D. Dickmanns,et al.  Recursive 3-D Road and Relative Ego-State Recognition , 1992, IEEE Trans. Pattern Anal. Mach. Intell..

[11]  P. Lombardi,et al.  Unified stereovision for ground, road, and obstacle detection , 2005, IEEE Proceedings. Intelligent Vehicles Symposium, 2005..

[12]  D Regan,et al.  Binocular information about time to collision and time to passage , 2002, Vision Research.

[13]  Andrew M. Wallace,et al.  Proactive sensor-resource allocation using optical sensors , 2008 .

[14]  Nick Hawes,et al.  Towards Context-Sensitive Visual Attention , 2006 .

[15]  Jannik Fritsch,et al.  A Generic Temporal Integration Approach for Enhancing Feature-based Road-detection Systems , 2008, 2008 11th International IEEE Conference on Intelligent Transportation Systems.

[16]  Jannik Fritsch,et al.  Color Object Recognition in Real-World Scenes , 2007, ICANN.

[17]  D Regan,et al.  Accuracy of estimating time to collision using binocular and monocular information , 1998, Vision Research.

[18]  Dariu M. Gavrila,et al.  6 – From door to door — principles and applications of computer vision for driver assistant systems , 2001 .

[19]  F. Jaureguizar,et al.  Stabilization of Inverse Perspective Mapping Images based on Robust Vanishing Point Estimation , 2007, 2007 IEEE Intelligent Vehicles Symposium.

[20]  Jannik Fritsch,et al.  Adaptive multi-cue fusion for robust detection of unmarked inner-city streets , 2009, 2009 IEEE Intelligent Vehicles Symposium.

[21]  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.

[22]  P. Cavanagh,et al.  Tracking multiple targets with multifocal attention , 2005, Trends in Cognitive Sciences.

[23]  L. Itti,et al.  Modeling the influence of task on attention , 2005, Vision Research.

[24]  Paul A. Viola,et al.  Robust Real-time Object Detection , 2001 .

[25]  Jürgen Adamy Fuzzy Logik, neuronale Netze und evolutionäre Algorithmen , 2005 .

[26]  Heiko Wersing,et al.  Peripersonal space and object recognition for humanoids , 2005, 5th IEEE-RAS International Conference on Humanoid Robots, 2005..

[27]  M. Hayhoe,et al.  What controls attention in natural environments? , 2001, Vision Research.

[28]  Julie M. Harris,et al.  Binocular vision: moving closer to reality , 2004, Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[29]  T. Başar,et al.  A New Approach to Linear Filtering and Prediction Problems , 2001 .

[30]  Marc Toussaint,et al.  Uncertainty optimization for robust dynamic optical flow estimation , 2007, Sixth International Conference on Machine Learning and Applications (ICMLA 2007).

[31]  K. Manz,et al.  Entwicklung von Kriterien zur Bewertung der Fahrzeugbeleuchtung im Hinblick auf ein NCAP fuer aktive Fahrzeugsicherheit , 2006 .

[32]  G. Färber Biological Aspects in Technical Sensor Systems , 2005 .

[33]  P. Subramanian Active Vision: The Psychology of Looking and Seeing , 2006 .

[34]  J. Wolfe,et al.  What attributes guide the deployment of visual attention and how do they do it? , 2004, Nature Reviews Neuroscience.

[35]  Simone Frintrop,et al.  VOCUS: A Visual Attention System for Object Detection and Goal-Directed Search , 2006, Lecture Notes in Computer Science.

[36]  Jürgen Adamy,et al.  An Attention-based System Approach for Scene Analysis in Driver Assistance Ein aufmerksamkeitsbasierter Systemansatz zur Szenenanalyse in der Fahrerassistenz , 2008, Autom..

[37]  Ernst D. Dickmanns Three-Stage Visual Perception for Vertebrate-type Dynamic Machine Vision , 2003 .

[38]  R. Chapuis,et al.  Road sides recognition in non-structured environments by vision , 2004, IEEE Intelligent Vehicles Symposium, 2004.

[39]  Werner von Seelen,et al.  Zur Informationsverarbeitung im visuellen System der Wirbeltiere. II , 1970, Kybernetik.

[40]  Raymond Klein,et al.  Inhibition of return , 2000, Trends in Cognitive Sciences.

[41]  O. Ramstrom,et al.  A method for following unmarked roads , 2005, IEEE Proceedings. Intelligent Vehicles Symposium, 2005..

[42]  Jianwei Zhang,et al.  Extracting road features from color images using a cognitive approach , 2004, IEEE Intelligent Vehicles Symposium, 2004.

[43]  Janne Heikkilä,et al.  A four-step camera calibration procedure with implicit image correction , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[44]  Jannik Fritsch,et al.  Enhancing Robustness of a Saliency-Based Attention System for Driver Assistance , 2008, ICVS.

[45]  Prashant Parikh A Theory of Communication , 2010 .

[46]  S Ullman,et al.  Shifts in selective visual attention: towards the underlying neural circuitry. , 1985, Human neurobiology.

[47]  S. Kammel,et al.  Cooperative Cognitive Automobiles , 2007, 2007 IEEE Intelligent Vehicles Symposium.

[48]  Antonio Torralba,et al.  Contextual Priming for Object Detection , 2003, International Journal of Computer Vision.

[49]  C. Stiller,et al.  Dynamic ego-pose estimation for driver assistance in urban environments , 2004, IEEE Intelligent Vehicles Symposium, 2004.

[50]  A. Broggi,et al.  A software video stabilization system for automotive oriented applications , 2005, 2005 IEEE 61st Vehicular Technology Conference.

[51]  Heiko Wersing,et al.  Learning Optimized Features for Hierarchical Models of Invariant Object Recognition , 2003, Neural Computation.

[52]  M. Kleinehagenbrock,et al.  Towards a human-like vision system for Driver Assistance , 2008, 2008 IEEE Intelligent Vehicles Symposium.

[53]  N. Hautiere,et al.  Road Segmentation Supervised by an Extended V-Disparity Algorithm for Autonomous Navigation , 2007, 2007 IEEE Intelligent Vehicles Symposium.

[54]  P. Levi,et al.  Detecting reflection posts - lane recognition on country roads , 2004, IEEE Intelligent Vehicles Symposium, 2004.

[55]  John K. Tsotsos,et al.  Modeling Visual Attention via Selective Tuning , 1995, Artif. Intell..

[56]  Robert Kastner,et al.  Towards a proactive biologically-inspired Advanced Driver Assistance System , 2009, 2009 IEEE Intelligent Vehicles Symposium.

[57]  D. Hubel,et al.  Receptive fields, binocular interaction and functional architecture in the cat's visual cortex , 1962, The Journal of physiology.

[58]  M. Ikegaya Development of a Lane Following Assistance System , 1998 .

[59]  A Treisman,et al.  Feature analysis in early vision: evidence from search asymmetries. , 1988, Psychological review.

[60]  Ralph Trapp Stereoskopische Korrespondenzbestimmung mit impliziter Detektion von Okklusionen , 1998 .

[61]  T. Vaudrey,et al.  Stereo-based Free Space Computation in Complex Traffic Scenarios , 2008, 2008 IEEE Southwest Symposium on Image Analysis and Interpretation.

[62]  U. Franks,et al.  Lane Recognition on Country Roads , 2007, 2007 IEEE Intelligent Vehicles Symposium.

[63]  Sebastian Thrun,et al.  Self-supervised Monocular Road Detection in Desert Terrain , 2006, Robotics: Science and Systems.

[64]  S. Yantis,et al.  Visual attention: control, representation, and time course. , 1997, Annual review of psychology.

[65]  R. Isermann,et al.  Nonlinear trajectory following control for automatic steering of a collision avoiding vehicle , 2006, 2006 American Control Conference.

[66]  H. Lilliefors On the Kolmogorov-Smirnov Test for Normality with Mean and Variance Unknown , 1967 .

[67]  Julian Eggert,et al.  Integrated Research and Development Environment for Real-Time Distributed Embodied Intelligent Systems , 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[68]  A. Treisman Visual Attention and the Perception of Features and Objects , 1994 .

[69]  Simone Frintrop,et al.  A Real-time Visual Attention System Using Integral Images , 2007, ICVS 2007.

[70]  C. Chabris,et al.  Gorillas in Our Midst: Sustained Inattentional Blindness for Dynamic Events , 1999, Perception.

[71]  Henrik I. Christensen,et al.  Computational visual attention systems and their cognitive foundations: A survey , 2010, TAP.

[72]  G. Humphreys,et al.  Computational models of visual selective attention: A review , 2005 .

[73]  John K. Tsotsos,et al.  Attending to visual motion , 2005, Comput. Vis. Image Underst..

[74]  Luis Magdalena,et al.  VIRTUOUS: vision-based road transportation for unmanned operation on urban-like scenarios , 2004, IEEE Transactions on Intelligent Transportation Systems.

[75]  Simone Frintrop,et al.  Goal-Directed Search with a Top-Down Modulated Computational Attention System , 2005, DAGM-Symposium.

[76]  Xin Li,et al.  A real-time vehicle detection and tracking system in outdoor traffic scenes , 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

[77]  Fred Sir Hoyle,et al.  The Black Cloud , 1957 .

[78]  M. F.,et al.  Bibliography , 1985, Experimental Gerontology.

[79]  Alberto BroggiDipartimento di Ingegneria dell ' InformazioneUniversit Robust real-time lane and road detection in critical shadow conditions , 1995 .

[80]  Xueyin Lin,et al.  Color image segmentation using modified HSI system for road following , 1991, Proceedings. 1991 IEEE International Conference on Robotics and Automation.

[81]  Hanspeter A. Mallot Computational Vision: Information Processing in Perception and Visual Behavior , 2000 .

[82]  Christopher Rasmussen,et al.  Combining laser range, color, and texture cues for autonomous road following , 2002, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292).

[83]  Stephen A. Dyer,et al.  Digital signal processing , 2018, 8th International Multitopic Conference, 2004. Proceedings of INMIC 2004..

[84]  H. Neumann,et al.  Multiple Cue Data Fusion with Particle Filters for Road Course Detection in Vision Systems , 2006, 2006 IEEE Intelligent Vehicles Symposium.

[85]  S Marcelja,et al.  Mathematical description of the responses of simple cortical cells. , 1980, Journal of the Optical Society of America.

[86]  Kuo-Chin Fan,et al.  Lane detection using directional random walks , 2008, 2008 IEEE Intelligent Vehicles Symposium.

[87]  Jean Ponce,et al.  Computer Vision: A Modern Approach , 2002 .

[88]  Jannik Fritsch,et al.  Image-based classification of driving scenes by Hierarchical Principal Component Classification (HPCC) , 2009, 2009 IEEE Intelligent Vehicles Symposium.

[89]  S. Nedevschi,et al.  Camera Calibration Method for Far Range Stereovision Sensors Used in Vehicles , 2006, 2006 IEEE Intelligent Vehicles Symposium.

[90]  A. Borst How Do Flies Land?From behavior to neuronal circuits , 1990 .

[91]  Volker Willert,et al.  Non-Gaussian velocity distributions integrated over space, time, and scales , 2005, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[92]  M. Landy,et al.  Measurement and modeling of depth cue combination: in defense of weak fusion , 1995, Vision Research.

[93]  J. P. Jones,et al.  The two-dimensional spectral structure of simple receptive fields in cat striate cortex. , 1987, Journal of neurophysiology.

[94]  Jannik Fritsch,et al.  Towards a Human-like Vision System for R esource-Constrained Intelligent Cars , 2007 .

[95]  Alexander Zelinsky,et al.  Robust vision based lane tracking using multiple cues and particle filtering , 2003, IEEE IV2003 Intelligent Vehicles Symposium. Proceedings (Cat. No.03TH8683).

[96]  Hiroyuki Koike,et al.  Rear-End Collision Velocity Reduction System , 2003 .

[97]  John K. Tsotsos,et al.  Neurobiology of Attention , 2005 .

[98]  Ian O'Connor,et al.  Design and behavioral modeling tools for optical network-on-chip , 2004, Proceedings Design, Automation and Test in Europe Conference and Exhibition.

[99]  M K Kaiser,et al.  Optical specification of time-to-passage: observers' sensitivity to global tau. , 1993, Journal of experimental psychology. Human perception and performance.

[100]  Zhang Guo-ying,et al.  A Road Detection Algorithm by Boosting Using Feature Combination , 2007, 2007 IEEE Intelligent Vehicles Symposium.

[101]  Paul A. Viola,et al.  Robust Real-Time Face Detection , 2001, International Journal of Computer Vision.

[102]  Volker Willert,et al.  Estimating Object Proper Motion Using Optical Flow, Kinematics, and Depth Information , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[103]  Robert S. Astur,et al.  Feature-based attentional set as a cause of traffic accidents , 2007 .

[104]  M. Corbetta,et al.  Control of goal-directed and stimulus-driven attention in the brain , 2002, Nature Reviews Neuroscience.