In this paper, we proposed a new risk assessment based decision-making algorithm to
guarantee collision avoidance in multi-scenarios for autonomous vehicles. A probabilistic …

Provably safe motion planning for automated road vehicles must ensure that planned
motions do not result in a collision with other traffic participants. This is a major challenge in …

As an important component of intelligent transportation systems, collaborative perception
has made great progress in recent years. In collaborative perception, multiple devices rely …

Autonomous driving systems (ADS) in recent years have been the subject of focus, evolving
as one of the major mobility disruptors and being a potential candidate for deployment in …

How to drive safely in complex real-world traffic settings has long been a question and
challenge for autonomous vehicles (AVs). Decision-making systems (DecSs) are the core of …

Autonomous vehicles interacting with other traffic participants heavily rely on the perception
and prediction of other agents' behaviors to plan safe trajectories. However, as occlusions …

Ensuring the safety of autonomous vehicles (AV s) in uncertain traffic scenarios is a major
challenge. In this paper, we address the problem of computing the risk that AV s violate a …

This letter proposes a novel local path planning algorithm called Safe Artificial Potential
Field (SAPF). The algorithm uses the attractive potential for goal reaching as the original …

Autonomous vehicles are being developed to make road traffic safer in the future. The time
when autonomous vehicles are actually safe enough to be used in real traffic is a current …

An adaptive potential field is designed to adapt the acceleration/deceleration and mass of
the obstacle. The potential fields are established in a transformed road coordinate system to …