Automated driving is a promising tool for reducing traffic accidents. While some companies
claim that many cutting-edge automated driving functions have been developed, how to …

At present, there are many aerial-view datasets that contain motion data from vehicles in a
variety of traffic scenarios. However, there are few datasets that have been collected under …

Accurate detection and prediction of the lane-change (LC) processes can help autonomous
vehicles better understand their surrounding environment, recognize potential safety …

Most of the current studies on autonomous vehicle decision-making and control based on
reinforcement learning are conducted in simulated environments. The training and testing of …

The development of autonomous driving technology has made simulation testing one of the
most important tools for evaluating system performance. However, there is a lack of …

Different toll collection types of vehicles and different distribution of tollbooths lead to the toll
plaza diverging area becoming a typical vehicle weaving area with frequent crossing …