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Learning Representations for Multi-Vehicle Spatiotemporal Interactions with Semi-Stochastic Potential Fields.

, , , and . IV, page 1935-1940. IEEE, (2020)

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Experimental design and evaluation of Networked Traveler field tests of safety applications in California., , and . Intelligent Vehicles Symposium, page 39-44. IEEE, (2010)A Reinforcement Learning Approach for Intelligent Traffic Signal Control at Urban Intersections., , , and . ITSC, page 4242-4247. IEEE, (2019)Analysis of Pedestrians Intention Prediction Based on Gradient-weighted Class Activation Mapping., and . ICCE-Taiwan, page 445-446. IEEE, (2023)Probabilistic Prediction from Planning Perspective: Problem Formulation, Representation Simplification and Evaluation Metric., , , , and . Intelligent Vehicles Symposium, page 1150-1156. IEEE, (2018)Imitative Learning for Multi-Person Action Forecasting., , , and . ACM Multimedia, page 451-459. ACM, (2021)Spatially-partitioned environmental representation and planning architecture for on-road autonomous driving., , , , and . Intelligent Vehicles Symposium, page 632-639. IEEE, (2017)A Reinforcement Learning Based Approach for Automated Lane Change Maneuvers., , and . Intelligent Vehicles Symposium, page 1379-1384. IEEE, (2018)Technological Challenges In the Development of AHS., and . J. Intell. Transp. Syst., 4 (1-2): 81-100 (1998)Driving Decision and Control for Automated Lane Change Behavior based on Deep Reinforcement Learning., , , , and . ITSC, page 2895-2900. IEEE, (2019)Feasibility analysis of steering control as a driver-assistance function in collision situations., and . IEEE Trans. Intell. Transp. Syst., 2 (1): 1-9 (2001)