This comprehensive review focuses on the Autonomous Driving System (ADS), which aims
to reduce human errors that are the reason for about 95% of car accidents. The ADS …

The inevitable upcoming technology of autonomous vehicles (AVs) will affect our cities and
several aspects of our lives. The widespread adoption of AVs repose at crossing distinct …

The simplified vehicle model often results in inaccuracy with respect to the conventional
model predictive control (MPC) as it causes steady error in tracking control, which has …

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

Aiming at the local minimum point problem in an artificial potential field based on a safe
distance model, this article proposes an algorithm for active obstacle avoidance path …

Driving risk prediction is important for the development of intelligent vehicles (IVs), and the
rise of human-like driving requires a driving risk prediction system to match the subjective …

Path planning is a crucial technology for autonomous vehicle (AV). However, it is difficult to
adapt to dynamic driving environment, and AV may lose lateral dynamic stability due to high …

To enable autonomous vehicles to generate smooth and collision-free trajectories and
improve their driving performance on structured roads, this paper proposes a hierarchical …

For the RRT* algorithm, there are problems such as greater randomness, longer time
consumption, more redundant nodes, and inability to perform local obstacle avoidance …

Efficient trajectory planning for intelligent vehicles in dynamic environments is a non-trivial
task due to the diversity and complexity of driving scenarios. It requires the planner to be …