A survey on motion prediction and risk assessment for intelligent vehicles, ROBOMECH Journal, vol.1, issue.1, pp.1-14, 2014. ,
An Integrated Approach to Maneuver-Based Trajectory Prediction and Criticality Assessment in Arbitrary Road Environments, IEEE Transactions on Intelligent Transportation Systems, vol.17, issue.10, pp.2751-2766, 2016. ,
A Scenario-Adaptive Driving Behavior Prediction Approach to Urban Autonomous Driving, Applied Sciences, vol.7, issue.4, p.426, 2017. ,
Clustering of Vehicle Trajectories, IEEE Transactions on Intelligent Transportation Systems, vol.11, issue.3, pp.647-657, 2010. ,
Clustering obstacle predictions to improve contingency planning for autonomous road vehicles in congested environments, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.1605-1611, 2011. ,
DOI : 10.1109/iros.2011.6094952
Trajectory Data Mining: An Overview, ACM Trans. Intell. Syst. Technol, vol.6, issue.3, p.41, 2015. ,
DOI : 10.1145/2743025
Spatio-temporal trajectory similarity and its application to predicting lack of interaction in traffic situations, 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC), pp.2512-2519, 2016. ,
Review and Perspective for Distance-Based Clustering of Vehicle Trajectories, IEEE Transactions on Intelligent Transportation Systems, vol.17, issue.11, pp.3306-3317, 2016. ,
DOI : 10.1109/tits.2016.2547641
How good is my prediction? finding a similarity measure for trajectory prediction evaluation, 2017 IEEE 18th International Conference on Intelligent Transportation Systems (ITSC, pp.120-125, 2017. ,
DOI : 10.1109/itsc.2017.8317825
Probabilistic, discriminative maneuver estimation in generic traffic scenes using pairwise probability coupling, Intelligent Transportation Systems (ITSC), pp.1269-1276, 2016. ,
DOI : 10.1109/itsc.2016.7795720
Deep neural networks for markovian interactive scene prediction in highway scenarios, Intelligent Vehicles Symposium (IV, pp.685-692, 2017. ,
Generalizable intention prediction of human drivers at intersections, Intelligent Vehicles Symposium (IV, pp.1665-1670, 2017. ,
DOI : 10.1109/ivs.2017.7995948
Analysis of microscopic behavior models for probabilistic modeling of driver behavior, 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC), pp.1604-1609, 2016. ,
Using Context Information and Probabilistic Classification for Making Extended Long-Term Trajectory Predictions, 2015 IEEE 18th International Conference on Intelligent Transportation Systems, pp.705-711, 2015. ,
DOI : 10.1109/itsc.2015.120
Intention estimation for ramp merging control in autonomous driving, 2017 IEEE Intelligent Vehicles Symposium (IV), pp.1584-1589, 2017. ,
DOI : 10.1109/ivs.2017.7995935
Interactive scene prediction for automotive applications, 2013 IEEE Intelligent Vehicles Symposium (IV), pp.1028-1033, 2013. ,
DOI : 10.1109/ivs.2013.6629601
Model-Based Probabilistic Collision Detection in Autonomous Driving, IEEE Transactions on Intelligent Transportation Systems, vol.10, issue.2, pp.299-310, 2009. ,
DOI : 10.1109/tits.2009.2018966
URL : http://mediatum.ub.tum.de/doc/1289124/document.pdf
The Next Generation Simulation Program, ITE Journal; Washington, vol.74, issue.8, pp.22-26, 2004. ,
Analysis of Recurrent Neural Networks for Probabilistic Modeling of Driver Behavior, IEEE Transactions on Intelligent Transportation Systems, vol.18, issue.5, pp.1289-1298, 2017. ,
Entering crossroads with blind corners. A safe strategy for autonomous vehicles, Intelligent Vehicles Symposium, pp.727-732, 2017. ,
DOI : 10.1109/ivs.2017.7995803
Proactive driving modeling in blind intersections based on expert driver data, Intelligent Vehicles Symposium (IV, pp.901-907, 2017. ,
DOI : 10.1109/ivs.2017.7995830
Autonomous Predictive Driving for Blind Intersections, p.2017 ,
DOI : 10.1109/iros.2017.8206185
, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp.3452-3459, 2017.
Augmented vehicle tracking under occlusions for decision-making in autonomous driving, p.2015 ,
DOI : 10.1109/iros.2015.7353874
, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp.3559-3565, 2015.
The combinatorial aspect of motion planning: Maneuver variants in structured environments, 2015 IEEE Intelligent Vehicles Symposium (IV), pp.1386-1392, 2015. ,
Probabilistic situation assessment framework for multiple, interacting traffic participants in generic traffic scenes, 2016 IEEE Intelligent Vehicles Symposium (IV), pp.1141-1148, 2016. ,
Intention-aware risk estimation for general traffic situations, and application to intersection safety, Inria Research Report, issue.8379 ,
Motion planning under uncertainty for on-road autonomous driving, 2014 IEEE International Conference on Robotics and Automation (ICRA), pp.2507-2512, 2014. ,
Probabilistic long-term prediction for autonomous vehicles, Intelligent Vehicles Symposium (IV), pp.237-243, 2017. ,
Sceneaware driver state understanding in car-following behaviors, Intelligent Vehicles Symposium, pp.1490-1496, 2017. ,
Modelling of traffic situations at urban intersections with probabilistic non-parametric regression, 2013 IEEE Intelligent Vehicles Symposium (IV), pp.334-339 ,
Driver intent inference at urban intersections using the intelligent driver model, 2012 IEEE Intelligent Vehicles Symposium (IV), pp.1162-1167, 2012. ,
A Bayesian filter for modeling traffic at stop intersections, Intelligent Vehicles Symposium (IV), pp.1252-1257, 2015. ,
Using road topology to improve cyclist path prediction, Intelligent Vehicles Symposium (IV, pp.289-296, 2017. ,
Dual approach for maneuver classification in vehicle environment data, Intelligent Vehicles Symposium, pp.97-102, 2017. ,
Exact inference and learning in hybrid Bayesian Networks for lane change intention classification, Intelligent Vehicles Symposium (IV, pp.1535-1540, 2017. ,
Priority-based intersection management with kinodynamic constraints, 2014 European Control Conference (ECC), pp.2902-2907, 2014. ,
Adopting machine learning methods to predict red-light running violations, 2015 IEEE 18th International Conference on Intelligent Transportation Systems, pp.650-655 ,
Live stop-controlled intersection data collection, Tech. Rep, 2007. ,
A non-conservatively defensive strategy for urban autonomous driving, 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC), pp.459-464, 2016. ,
Recognition of situation classes at road intersections, 2010 IEEE International Conference on Robotics and Automation (ICRA), pp.3960-3965, 2010. ,
Probabilistic Vehicle Trajectory Prediction over Occupancy Grid Map via Recurrent Neural Network, 2017. ,
Spatiotemporal representation of driving scenarios and classification using neural networks, Intelligent Vehicles Symposium (IV, pp.1782-1788, 2017. ,
Dynamic Occupancy Grid Prediction for Urban Autonomous Driving: A Deep Learning Approach with Fully Automatic Labeling, 2017. ,
A Combined Model-and Learning-Based Framework for Interaction-Aware Maneuver Prediction, IEEE Transactions on Intelligent Transportation Systems, vol.17, issue.6, pp.1538-1550, 2016. ,
Classification of drivers manoeuvre for road intersection crossing with synthethic and real data, Intelligent Vehicles Symposium (IV, p.2017 ,
, IEEE, pp.224-230, 2017.
Modeling drivers' acceleration and lane changing behavior, 1999. ,
Probabilistic inference of traffic participants' lane change intention for enhancing adaptive cruise control, Intelligent Vehicles Symposium (IV, pp.855-860, 2017. ,
How Much Data Are Enough? A Statistical Approach With Case Study on Longitudinal Driving Behavior, IEEE Transactions on Intelligent Vehicles, vol.2, issue.2, pp.85-98, 2017. ,
Mobile Agent Trajectory Prediction using Bayesian Nonparametric Reachability Trees, 2011. ,