Dynamics and Path Planning for Autonomous Vehicles
A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Vehicle Engineering".
Deadline for manuscript submissions: closed (30 April 2025) | Viewed by 1500
Special Issue Editor
Interests: autonomous vehicles; traffic engineering; traffic safety; traffic simulation; machine learning and computer vision
Special Issue Information
Dear Colleagues,
In recent years, autonomous vehicles have played an increasingly important role in national economies and human social life. In autonomous navigation technology, motion planning plays a crucial role in improving safety and comfort. To improve the route stability of autonomous vehicles is still the focus of research.
This Special Issue of Machines focuses on the latest scientific and technical research around these topics in both the academic and industrial sectors. These topics include but are not limited to the following:
- Autonomous vehicles;
- Path planning techniques for autonomous vehicles;
- Evolutionary algorithms for motion planning;
- Motion planning via imitation learning;
- Multi-agent reinforcement learning for autonomous vehicles;
- Human–machine collaborative control of autonomous vehicles;
- Vehicle motion control in complex traffic environments.
We are looking forward to receiving your submissions.
Dr. Imran Reza
Guest Editor
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