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PCASim: Promptable Closed-loop Adversarial Simulation for Urban Traffic Environment
Chuancheng Zhang, Zhenhao Wang, Kaizheng Li +3
Real-world autonomous driving, particularly in urban environments with numerous corner cases, requires rigorous testing to ensure product safety and robustness. However, few studie…
Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey
Wei Dai, Shengen Wu, Wei Wu +7
Trajectory prediction serves as a critical functionality in autonomous driving, enabling the anticipation of future motion paths for traffic participants such as vehicles and pedes…
Generative Modeling for Adversarial Lane-Change Scenarios
Chuancheng Zhang, Zhenhao Wang, Jiangcheng Wang +5
Decision-making in long-tail scenarios is pivotal to autonomous-driving development, and realistic and challenging simulations play a crucial role in testing safety-critical situat…