ABSTRACT A lane-changing process is complicated due to multiple factors in the driving
environment, and unsafe lane-changing behaviour may lead to a severe crash. This study …

This paper considers the trajectory planning problem for an autonomous vehicle given
uncertain knowledge about the surrounding environment. We propose to use evidential …

Heterogeneity exists in car following behaviors due to the driver's habit, fatigue, distraction,
or surrounding traffic. This research proposes a method of modeling and reasoning …

Autonomous driving is an active area of research in artificial intelligence and robotics.
Recent advances in deep reinforcement learning (DRL) show promise for training …

As technology is moving rapidly toward automation and connectivity, it is of paramount
importance to predict vehicle trajectories ahead of time. This not only enhances safety but …

In order to improve the adaptability and tracking performance of intelligent vehicles under
complex driving conditions, and simulate the manipulation characteristics of the real driver in …

According to the inherent nature of the fluid that can naturally avoid obstacles, a path
planning method for active collision avoidance of autonomous vehicles is presented based …

Implementation of safe and efficient autonomous driving systems requires accurate
prediction of the long-term trajectories of surrounding vehicles. High uncertainty in traffic …

The release of highly automated driving functions requires a thorough validation of safety. In
this paper, the recently introduced 3-circles model is recapitulated. Based on the 3-circles …

Battery Electric Vehicles have a high potential in modern transportation, however, they are
facing limited cruising range. The driving style, the road geometries including slopes, curves …