Accurate trajectory prediction of surrounding vehicles enables lower risk path planning in
advance for autonomous vehicles, thus promising the safety of automated driving. A low-risk …

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 …

Path planning techniques are of major importance for the motion of autonomous systems. In
addition, the chosen path, safety, and computational burden are essential for ensuring the …

Existing potential functions (PFs) utilized in autonomous vehicles mainly focus on solving
the path-planning problems in some conventional driving scenarios; thus, their performance …

Cooperative hunting is a typical task that reflects the intelligence level of a swarm. For the
complex underwater weak information environment with obstacles, a problem description of …

Automated Driving Systems (ADS) have received a considerable amount of attention in the
last few decades, as part of the Intelligent Transportation Systems (ITS) field. However, this …

Safe path planning for obstacle avoidance in autonomous vehicles has been developed.
Based on the Rapidly Exploring Random Trees (RRT) algorithm, an improved algorithm …

This paper proposes a reliable optimized sigmoid‐based path planning algorithm that
ensures smooth, fast and safe overtaking maneuver, while maintaining the necessary safety …

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 …

Motion planning is an essential element of the modular architecture of autonomous vehicles,
serving as a bridge between upstream perception modules and downstream low-level …