Trajectory planning technology is one of the key technologies in the field of autonomous
driving. However, the current planning algorithms cannot meet the optimal trajectory …

Path planning and tracking control is an essential part of autonomous vehicle research. In
terms of path planning, the artificial potential field (APF) algorithm has attracted much …

The traditional potential field-based path planning is likely to generate unexpected path by
strictly following the minimum potential field, especially in the driving scenarios with multiple …

With the rapid development of autonomous driving technology, collision avoidance has
become a research hotspot since it has the potential to increase safety. To obtain a collision …

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

Different driving styles should be considered in path planning for autonomous vehicles that
are travelling alongside other traditional vehicles in the same traffic scene. Based on the …

In this paper, the concept of symmetry is utilized in the promising trajectory planning design
of autonomous ground vehicles—that is, the construction and the solution of improved …

This paper proposes an optimal path planning algorithm to make the autonomous vehicle
follow the desired path profile while avoiding nearby obstacles safely. Also, it utilizes only …

The traditional A∗ algorithm, applied to the motion planning of autonomous vehicles, easily
causes high computational costs and excessive turning points generated in the planning …

As one of the key technologies in the development of Unmanned Aerial Vehicle (UAV), the
path planning method has an intuitive impact on the real-time performance of UAV. Most …