A survey on motion prediction and risk assessment for intelligent vehicles
暂无分享,去创建一个
[1] Max Donath,et al. American Control Conference , 1993 .
[2] Alex Pentland,et al. Coupled hidden Markov models for complex action recognition , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[3] A. Galip Ulsoy,et al. Vehicle dynamics and external disturbance estimation for vehicle path prediction , 2000, IEEE Trans. Control. Syst. Technol..
[4] Alex Pentland,et al. Graphical models for driver behavior recognition in a SmartCar , 2000, Proceedings of the IEEE Intelligent Vehicles Symposium 2000 (Cat. No.00TH8511).
[5] Sebastian Thrun,et al. Probabilistic robotics , 2002, CACM.
[6] Stuart J. Russell,et al. Dynamic bayesian networks: representation, inference and learning , 2002 .
[7] I. Dagli,et al. Motivation-based approach to behavior prediction , 2002, Intelligent Vehicle Symposium, 2002. IEEE.
[8] Qingfeng Huang,et al. An adaptive peer-to-peer collision warning system , 2002, Vehicular Technology Conference. IEEE 55th Vehicular Technology Conference. VTC Spring 2002 (Cat. No.02CH37367).
[9] Hajime Asama,et al. Inevitable collision states — a step towards safer robots? , 2004, Adv. Robotics.
[10] Thierry Fraichard,et al. Motion prediction for moving objects: a statistical approach , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.
[11] K.C.J. Dietmayer,et al. IMM object tracking for high dynamic driving maneuvers , 2004, IEEE Intelligent Vehicles Symposium, 2004.
[12] George Kollios,et al. Extraction and clustering of motion trajectories in video , 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..
[13] D. Aubert,et al. A collision mitigation system using laser scanner and stereovision fusion and its assessment , 2005, IEEE Proceedings. Intelligent Vehicles Symposium, 2005..
[14] Rajesh Rajamani,et al. Vehicle dynamics and control , 2005 .
[15] Y. Liu,et al. Performance evaluation of intersection warning system using a vehicle traffic and wireless simulator , 2005, IEEE Proceedings. Intelligent Vehicles Symposium, 2005..
[16] Hiren M. Mandalia,et al. Using Support Vector Machines for Lane-Change Detection , 2005 .
[17] Sebastien Glaser,et al. Kalman filters predictive steps comparison for vehicle localization , 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[18] T. Kanade,et al. Monte Carlo road safety reasoning , 2005, IEEE Proceedings. Intelligent Vehicles Symposium, 2005..
[19] Kristian Kroschel,et al. A Multilevel Collision Mitigation Approach—Its Situation Assessment, Decision Making, and Performance Tradeoffs , 2006, IEEE Transactions on Intelligent Transportation Systems.
[20] Han-Shue Tan,et al. Vehicle future trajectory prediction with a DGPS/INS-based positioning system , 2006, 2006 American Control Conference.
[21] A. Lambert,et al. Reducing Navigation Errors by Planning with Realistic Vehicle Model , 2006, 2006 IEEE Intelligent Vehicles Symposium.
[22] Ching-Yao Chan,et al. Defining Safety Performance Measures of Driver-Assistance Systems for Intersection Left-Turn Conflicts , 2006, 2006 IEEE Intelligent Vehicles Symposium.
[23] Nikolaos Papanikolopoulos,et al. Deterministic sampling-based switching kalman filtering for vehicle tracking , 2006, 2006 IEEE Intelligent Transportation Systems Conference.
[24] Tarek Sayed,et al. Clustering Vehicle Trajectories with Hidden Markov Models Application to Automated Traffic Safety Analysis , 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.
[25] Han-Shue Tan,et al. DGPS-Based Vehicle-to-Vehicle Cooperative Collision Warning: Engineering Feasibility Viewpoints , 2006, IEEE Transactions on Intelligent Transportation Systems.
[26] Tieniu Tan,et al. A system for learning statistical motion patterns , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[27] Angelos Amditis,et al. Sensor Fusion for Predicting Vehicles' Path for Collision Avoidance Systems , 2007, IEEE Transactions on Intelligent Transportation Systems.
[28] Joaquín Salas,et al. Detecting Unusual Activities at Vehicular Intersections , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.
[29] Gerd Wanielik,et al. Comparison and evaluation of advanced motion models for vehicle tracking , 2008, 2008 11th International Conference on Information Fusion.
[30] Lars Petersson,et al. Statistical Threat Assessment for General Road Scenes Using Monte Carlo Sampling , 2008, IEEE Transactions on Intelligent Transportation Systems.
[31] Angelos Amditis,et al. Cooperative Path Prediction in Vehicular Environments , 2008, 2008 11th International IEEE Conference on Intelligent Transportation Systems.
[32] A. Barth,et al. Where will the oncoming vehicle be the next second? , 2008, 2008 IEEE Intelligent Vehicles Symposium.
[33] Klaus C. J. Dietmayer,et al. Continuous Driver Intention Recognition with Hidden Markov Models , 2008, 2008 11th International IEEE Conference on Intelligent Transportation Systems.
[34] Christoph Hermes,et al. Long-term vehicle motion prediction , 2009, 2009 IEEE Intelligent Vehicles Symposium.
[35] Christian Laugier,et al. Growing Hidden Markov Models: An Incremental Tool for Learning and Predicting Human and Vehicle Motion , 2009, Int. J. Robotics Res..
[36] Fawzi Nashashibi,et al. Real time trajectory prediction for collision risk estimation between vehicles , 2009, 2009 IEEE 5th International Conference on Intelligent Computer Communication and Processing.
[37] Klaus C. J. Dietmayer,et al. Situation Assessment of an Autonomous Emergency Brake for Arbitrary Vehicle-to-Vehicle Collision Scenarios , 2009, IEEE Transactions on Intelligent Transportation Systems.
[38] Mohan M. Trivedi,et al. Learning trajectory patterns by clustering: Experimental studies and comparative evaluation , 2009, CVPR.
[39] Matthias Althoff,et al. Model-Based Probabilistic Collision Detection in Autonomous Driving , 2009, IEEE Transactions on Intelligent Transportation Systems.
[40] Christopher Tay. Analysis of Dynamic Scenes: Application to Driving Assistance. (Analyses des scènes dynamiques: Application à l'assistance à la conduite) , 2009 .
[41] Kym Watson,et al. Recognition of dangerous situations within a cooperative group of vehicles , 2009, 2009 IEEE Intelligent Vehicles Symposium.
[42] Nikolaos Papanikolopoulos,et al. Clustering of Vehicle Trajectories , 2010, IEEE Transactions on Intelligent Transportation Systems.
[43] Rüdiger Dillmann,et al. A probabilistic model for estimating driver behaviors and vehicle trajectories in traffic environments , 2010, 13th International IEEE Conference on Intelligent Transportation Systems.
[44] Ümit Özgüner,et al. Hybrid-state driver/vehicle modelling, estimation and prediction , 2010, 13th International IEEE Conference on Intelligent Transportation Systems.
[45] Nicholas Roy,et al. A Bayesian Nonparametric Approach to Modeling Mobility Patterns , 2010, AAAI.
[46] Jonathan P. How,et al. Threat assessment design for driver assistance system at intersections , 2010, 13th International IEEE Conference on Intelligent Transportation Systems.
[47] Helge J. Ritter,et al. Recognition of situation classes at road intersections , 2010, 2010 IEEE International Conference on Robotics and Automation.
[48] Stewart Worrall,et al. Improving vehicle safety using context based detection of risk , 2010, 13th International IEEE Conference on Intelligent Transportation Systems.
[49] Jonas Sjöberg,et al. Model-Based Threat Assessment for Avoiding Arbitrary Vehicle Collisions , 2010, IEEE Transactions on Intelligent Transportation Systems.
[50] Javier Ibanez Guzman,et al. Vehicle to vehicle communications applied to road intersection safety, field results , 2010, 13th International IEEE Conference on Intelligent Transportation Systems.
[51] Markus Maurer,et al. Object tracking in urban intersections based on active use of a priori knowledge: Active interacting multi model filter , 2011, 2011 IEEE Intelligent Vehicles Symposium (IV).
[52] Thao Dang,et al. Handling uncertainties in criticality assessment , 2011, 2011 IEEE Intelligent Vehicles Symposium (IV).
[53] Franz Kummert,et al. Behavior prediction at multiple time-scales in inner-city scenarios , 2011, 2011 IEEE Intelligent Vehicles Symposium (IV).
[54] Albert S. Huang,et al. A Bayesian nonparametric approach to modeling motion patterns , 2011, Auton. Robots.
[55] Anup Doshi,et al. Lane change intent prediction for driver assistance: On-road design and evaluation , 2011, 2011 IEEE Intelligent Vehicles Symposium (IV).
[56] Amaury Nègre,et al. Probabilistic Analysis of Dynamic Scenes and Collision Risks Assessment to Improve Driving Safety , 2011, IEEE Intelligent Transportation Systems Magazine.
[57] N. Roy,et al. Mobile Agent Trajectory Prediction using Bayesian Nonparametric Reachability Trees , 2011 .
[58] Juan Liu,et al. An Efficient Computational Architecture for a Collision Early-Warning System for Vehicles, Pedestrians, and Bicyclists , 2011, IEEE Transactions on Intelligent Transportation Systems.
[59] Matthias Althoff,et al. Comparison of Markov Chain Abstraction and Monte Carlo Simulation for the Safety Assessment of Autonomous Cars , 2011, IEEE Transactions on Intelligent Transportation Systems.
[60] Eduardo Mario Nebot,et al. A bayesian approach for driving behavior inference , 2011, 2011 IEEE Intelligent Vehicles Symposium (IV).
[61] Thao Dang,et al. A flexible method for criticality assessment in driver assistance systems , 2011, 2011 IEEE Intelligent Vehicles Symposium (IV).
[62] Christian Laugier,et al. Risk assessment at road intersections: Comparing intention and expectation , 2012, 2012 IEEE Intelligent Vehicles Symposium.
[63] Christian Laugier,et al. Evaluating risk at road intersections by detecting conflicting intentions , 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[64] Christoph Stiller,et al. Driver intent inference at urban intersections using the intelligent driver model , 2012, 2012 IEEE Intelligent Vehicles Symposium.
[65] Eduardo Mario Nebot,et al. Estimation of Multivehicle Dynamics by Considering Contextual Information , 2012, IEEE Transactions on Robotics.
[66] Jonathan P. How,et al. Driver Behavior Classification at Intersections and Validation on Large Naturalistic Data Set , 2012, IEEE Transactions on Intelligent Transportation Systems.
[67] Ulrich Kressel,et al. Incorporating Categorical Information for Enhanced Probabilistic Trajectory Prediction , 2013, 2013 12th International Conference on Machine Learning and Applications.
[68] Mathias Perrollaz,et al. Learning-based approach for online lane change intention prediction , 2013, 2013 IEEE Intelligent Vehicles Symposium (IV).
[69] Martin Buss,et al. Interactive scene prediction for automotive applications , 2013, 2013 IEEE Intelligent Vehicles Symposium (IV).
[70] Christian Laugier,et al. Intention-Aware Risk Estimation for General Traffic Situations, and Application to Intersection Safety , 2013 .
[71] Stewart Worrall,et al. Vehicle collision probability calculation for general traffic scenarios under uncertainty , 2014, 2014 IEEE Intelligent Vehicles Symposium Proceedings.
[72] Jonas Firl,et al. Online maneuver recognition and multimodal trajectory prediction for intersection assistance using non-parametric regression , 2014, 2014 IEEE Intelligent Vehicles Symposium Proceedings.
[73] Horst-Michael Groß,et al. Combining behavior and situation information for reliably estimating multiple intentions , 2014, 2014 IEEE Intelligent Vehicles Symposium Proceedings.
[74] Ruzena Bajcsy,et al. Lane Keeping Assistance with Learning-Based Driver Model and Model Predictive Control , 2014 .
[75] Karl-Heinz Hoffmann,et al. Prediction of driver intended path at intersections , 2014, 2014 IEEE Intelligent Vehicles Symposium Proceedings.
[76] Alexandra Neukum,et al. Advisory warnings based on cooperative perception , 2014, 2014 IEEE Intelligent Vehicles Symposium Proceedings.