Optimization-Based Motion Planning & Control for Autonomous Driving in Dynamic Environments
A special issue of Machines (ISSN 2075-1702).
Deadline for manuscript submissions: 31 December 2025 | Viewed by 50
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
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Machines is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
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
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue policies can be found here.
