COTTA: Context-Aware Transfer Adaptation for Trajectory Prediction in Autonomous Driving 事件

COTTA: Context-Aware Transfer Adaptation for Trajectory Prediction in Autonomous Driving arXiv:2604.00402v2 Announce Type: replace Abstract: Developing robust models to accurately predict the trajectories of surrounding agents is fundamental to autonomous driving safety. However, most public datasets, such as the Waymo Open Motion Dataset and Argoverse, are collected in Western road environments and do not reflect the unique traffic patterns, infrastructure, and driving behaviors of other regio