Advances in Decision-Making and Motion 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 September 2023) | Viewed by 267
Special Issue Editor
Special Issue Information
Dear Colleagues,
Decision-making and motion planning are key to every automated physical system, and represent a well-investigated subject in the field of robotics. Recent advanced driving assistance systems (ADAS) have had functionalities such as adaptive cruise control (ACC) and automatic parking. Yet, challenges remain regarding guaranteed performance and safety under all driving circumstances. For instance, planning methods that provide safe and system-compliant performance in complex, cluttered environments while modeling the uncertain interaction with other traffic participants are required. Especially under multi-agent situations, autonomous vehicles need to perform socially aware motion planning based on forecasting models of other agents while anticipating how their own plan will likely affect surrounding agents. Therefore, as an ever-growing number of autonomous vehicles are deployed on public roads, developing robust, safe, and reliable algorithms for decision-making and motion planning becomes increasingly important.
Specific topics of interest for publication include but are not limited to following keywords:
- autonomous driving
- motion planning
- decision making
- interaction-aware decision making
- robust decision making
- socially aware motion planning
- safe and scalable motion planning
- prediction-based planning
Dr. Yeping Hu
Guest Editor
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