Human-like driving is of great significance for safety and comfort of autonomous vehicles,
but existing trajectory planning methods for on-road vehicles rarely take the similarity with …

Our work aims to present a high-performance and modular sampling-based trajectory
planning algorithm for autonomous vehicles. This algorithm is tailored to address the …

Trajectory planning plays a crucial role in autonomous driving. It generates feasible
geometric paths within a certain time horizon to guide autonomous vehicles. However …

This chapter surveys systems and sub-systems associated with autonomous vehicles. This
survey identifies and analyzes the routing, re-routing, and rebalancing algorithms necessary …

Generating safe, smooth, and efficient trajectories is a fundamental and difficult task for
multiple unmanned ground vehicles (MUGVs) in unstructured narrow interaction scenarios …

To meet the real-time path planning requirements of intelligent vehicles in dynamic traffic
scenarios, a path planning and evaluation method is proposed in this paper. Firstly, based …

A car-like robot that tracks a moving target by following smoothed Rapidly exploring
Random Tree (RRT) path planning technique is developed. Mobile robot can track the target …

Collision avoidance is one of the most important requirements for autonomous vehicles,
particularly in complex and congested traffic scenarios where trajectories have little safety …

A robust hierarchical path planning and trajectory tracking framework is proposed to
maintain a collision-free path for autonomous vehicles. For the path-planning, a constrained …

The Vector Field Histogram (VFH) is a classical motion planning algorithm which is widely
used to handle the trajectory planning problem of mobile robots. However, the traditional …