Advanced Control Technologies for Next-Generation Autonomous Vehicles
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Electrical and Autonomous Vehicles".
Deadline for manuscript submissions: closed (15 May 2025) | Viewed by 1737
Special Issue Editors
Interests: autonomous driving; intelligent transportation systems; artificial intelligence
Interests: traffic sensing; sensor fusion; distributed computing; generative models
Interests: connected and automated vehicle control and evaluation
Interests: autonomous systems; risk-aware decision-making; human-centered AI
Special Issues, Collections and Topics in MDPI journals
Interests: connected and automated vehicles; intelligent transportation systems; deep learning; artificial intelligence; digital twin
Special Issue Information
Dear Colleagues,
This Special Issue on "Advanced Control Technologies for Next-Generation Autonomous Vehicles" aims to address the emerging challenges and innovations in the field of autonomous vehicle control systems. As autonomous vehicles continue to evolve, there is a critical need to develop advanced control technologies that ensure safety, reliability, and efficiency in various environments, including urban, suburban, and off-road settings.
This Special Issue will focus on novel control strategies, architectures, and algorithms that contribute to autonomous vehicles' safe and efficient operation. The scope of this Special Issue encompasses a wide range of topics in autonomous vehicle control, such as autonomous driving in dynamic environments, cooperative vehicle systems, sensor fusion techniques for vehicle perception, communication-based vehicle control, and ethical considerations in the deployment of autonomous systems. Papers discussing cross-domain solutions that can be applied across different types of autonomous vehicles, including aerial drones, ground vehicles, and marine vessels, are also welcome. This Special Issue will provide a comprehensive overview of the state of the art in autonomous vehicle control technologies and serve as a valuable supplement to existing literature. While there are many studies on individual aspects of autonomous vehicles, this Special Issue will bridge the gap between theory and application, highlight integrative approaches, and propose new frameworks for future research.
The current Special Issue includes topics on, but not limited to, the following areas:
- Autonomous Vehicle Control;
- Autonomous Driving;
- Machine Learning for Autonomous Driving;
- Reinforcement Learning;
- Robust Control;
- Cooperative Vehicle Systems;
- Sensor Fusion;
- Human–Machine Collaboration;
- Intelligent Transportation Systems;
- Ethical AI in Autonomous Systems;
- Communication-Based Control;
- End-to-End Control Systems;
- Foundation Model (FM)-based Technologies.
Dr. Haotian Shi
Dr. Chenxi Liu
Dr. Chengyuan Ma
Dr. Heye Huang
Dr. Keshu Wu
Guest Editors
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. Electronics is an international peer-reviewed open access semimonthly 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
- autonomous vehicles
- V2X communication
- cooperative driving strategies
- machine learning
- vehicle safety and efficiency
- intelligent transportation systems
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