Driving safety is the most important element that needs to be considered for autonomous
vehicles (AVs). To ensure driving safety, we proposed a lane change decision-making …

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 …

The risky lane-changing manoeuvre of vehicles often occurs at expressway entrances,
which would result in a high crash risk in the freeway system and significantly impact its …

Existing studies on autonomous intersection management (AIM) primarily focus on traffic
efficiency, often overlooking the overall intersection safety, where conflict separation is …

The multi-agent pickup and delivery (MAPD) problem, in which multiple agents iteratively
carry materials without collisions, has received significant attention. However, many …

Connected and autonomous vehicles (CAVs) have the ability to enhance traffic flow and
road safety by significantly reducing human error. Although some collision risks may be …

To guide a robotic swarm in a cluttered environment, a curve virtual tube is designed in this
paper. There is no obstacle within the curve virtual tube, and the area inside can be seen as …

Perception of obstacles remains a critical safety concern for autonomous vehicles. Real-
world collisions have shown that the autonomy faults leading to fatal collisions originate from …

Advances in deep learning have revolutionized cyber‐physical applications, including the
development of autonomous vehicles. However, real‐world collisions involving autonomous …

Biomimetic underwater vehicles (BUVs) are important instrumentation in applications such
as water quality monitoring and underwater detection. In this article, we study the …