This paper describes an optimal lane-changing strategy for intelligent vehicles under the
constraints of collision avoidance in complex driving environments. The key technique is …

Autonomous driving systems (ADSs) need to be able to respond quickly to changes in the
dynamic traffic scenario. However, regardless of the changes occurring in traffic scenes, the …

Autonomous driving of multi-lane vehicle platoons have attracted significant attention in
recent years due to their potential to enhance the traffic-carrying capacity of the roads and …

Efficient intersection planning is one of the most challenging tasks for an autonomous
vehicle at present. Politeness to other traffic participants and reaction to surrounding …

Autonomous vehicles need to perform social accepted behaviors in complex urban
scenarios including human‐driven vehicles with uncertain intentions. This leads to many …

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 …

Simultaneous trajectory prediction for multiple heterogeneous traffic participants is essential
for safe and efficient operation of connected automated vehicles under complex driving …

Conventional layered planning architecture temporally partitions the spatiotemporal motion
planning by the path and speed, which is not suitable for lane change and overtaking …

Automatic lane-changing is a complex and critical task for autonomous vehicle control.
Existing researches on autonomous vehicle technology mainly focus on avoiding obstacles; …

Autonomous vehicles face numerous challenges to ensure safe operation in unpredictable
and hazardous conditions. The autonomous driving environment is characterized by high …