Optimization-Based Motion Planning & Control for Autonomous Driving in Dynamic Environments
A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Vehicle Engineering".
Deadline for manuscript submissions: 31 December 2025 | Viewed by 1150
Special Issue Editor
Interests: motion planning; computational optimal control; numerical optimization
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Optimization-based motion planning and control techniques play a vital role in autonomous driving systems, especially in dynamic and unpredictable traffic environments. Efficient optimization methods enable autonomous vehicles to generate and execute safe, comfortable, and dynamically feasible trajectories, accounting for real-time obstacles, uncertain scenarios, and varying driving conditions. This Special Issue aims to publish state-of-the-art research addressing novel theories, algorithms, methodologies, and experimental validations of optimization-based planning and control approaches for autonomous driving.
We invite high-quality original research and review articles focusing on innovative solutions applicable to real-world autonomous driving scenarios. Potential topics include, but are not limited to, the following:
- Online optimal path/trajectory planning and replanning;
- Optimization-based motion control in dynamic environments;
- Real-time model predictive control;
- Robust optimization-based motion planning methods under uncertainty;
- Machine learning-based trajectory optimization;
- Safety-critical trajectory optimization;
- Risk-aware/occlusion-aware trajectory optimization;
- Global optimization of trajectory optimizers under uncertainty.
We look forward to receiving your contributions.
Dr. Bai Li
Guest Editor
Manuscript Submission Information
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Keywords
- optimal motion planning
- dynamic trajectory optimization
- real-time motion control
- path planning in dynamic environments
- optimization-based autonomous driving
- dynamic obstacle avoidance
- cooperative trajectory optimization
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