4 papers
Learning from the Unseen: Generative Data Augmentation for Geometric-Semantic Accident Anticipation
Yanchen Guan, Haicheng Liao, Chengyue Wang +4
Anticipating traffic accidents is a critical yet unresolved problem for autonomous driving, hindered by the inherent complexity of modeling interactions between road users and the…
SAIL: Scene-aware Adaptive Iterative Learning for Long-Tail Trajectory Prediction in Autonomous Vehicles
Bin Rao, Haicheng Liao, Chengyue Wang +3
Autonomous vehicles (AVs) rely on accurate trajectory prediction for safe navigation in diverse traffic environments, yet existing models struggle with long-tail scenarios-rare but…
Cooperative Safety Intelligence over V2X Networks: A Survey
Jiaxun Zhang, Qian Xu, Zhenning Li +3
Vehicle-to-Everything (V2X) cooperation is reshaping traffic safety from an ego-centric sensing problem into a networked intelligence problem involving distributed sensing, coopera…
Towards Human-Like Trajectory Prediction for Autonomous Driving: A Behavior-Centric Approach
Haicheng Liao, Zhenning Li, Guohui Zhang +2
Predicting the trajectories of vehicles is crucial for the development of autonomous driving (AD) systems, particularly in complex and dynamic traffic environments. In this study,…