Path Tracking for Automated Driving
A special issue of Vehicles (ISSN 2624-8921).
Deadline for manuscript submissions: closed (25 November 2024) | Viewed by 16654
Special Issue Editors
Interests: vehicle dynamics and control; intelligent transportation; cyber-physical systems
Special Issues, Collections and Topics in MDPI journals
Interests: autonomous driving; human-robot interaction; human factors; bayesian learning; optimization
Interests: robust control and estimation; cybernetics control systems; human-machine shared control; vehicle dynamics estimation and control; intelligent vehicles
Special Issues, Collections and Topics in MDPI journals
Interests: vehicle dynamics; robust control; optimal control; preictive control; learning-based control; advanced driver assistance systems; autonomous driving
Special Issues, Collections and Topics in MDPI journals
Interests: ADAS; autonomous driving; collision avoidance; future mobility
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Ground vehicle path-tracking control constitutes the cornerstone of fully autonomous driving. Advanced modeling, estimation, and control techniques have been continuously invented and implemented to achieve high-performance path tracking for automated driving, especially under adversary situations, such as high-speed collision avoidance, actuation failure, and sudden drop of tire–road friction. In addition to the safety requirements, energy-saving should also be accounted for during path-tracking controller design to achieve sustainable transportation, especially when autonomous vehicles are deployed on a large scale. Finally, objective and systematic evaluation frameworks to compare the strengths and weaknesses of various path-tracking algorithms are still severely lacking.
This Special Issue is devoted to theoretical breakthroughs, practical solutions, and comprehensive evaluations of novel modeling, estimation, and control algorithms for ground vehicle path tracking. Topics include, but are not limited to, the following: automated driving systems, path tracking for collision avoidance, energy-optimal trajectory following, and path tracking controller evaluation.
Dr. Zejiang Wang
Dr. Wenshuo Wang
Dr. Anh-Tu Nguyen
Dr. Moad Kissai
Dr. Umar Zakir Abdul Hamid
Guest Editors
Manuscript Submission Information
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Keywords
- automated driving
- collision avoidance
- control evaluation
- path-tracking control
- safety/energy-saving co-design
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