Design and Control of Autonomous Driving Systems
A special issue of Vehicles (ISSN 2624-8921).
Deadline for manuscript submissions: 30 September 2024 | Viewed by 1157
Special Issue Editors
Interests: vehicle dynamics and control; connected and autonomous vehicle; pedestrian trajectory prediction
Interests: ADAS; autonomous driving; perception
Interests: connected and autonomous vehicles; hybrid and electric vehicles; engineering optimization; learning-based control and optimization
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Autonomous vehicles represent a transformative advancement in automotive engineering, captivating the attention of both academic and industrial communities worldwide. We have seen extensive exploration in scenarios like lane changes, obstacle avoidance, car following, and merging. However, challenges persist in navigating complex conditions encompassing diverse road structures, varying traffic density, adverse weather, and interactions with vulnerable road users like pedestrians and cyclists. In addition, making intelligent decisions while sharing control with human drivers is not yet fully understood. Furthermore, aligning research with practical autonomous vehicle prototypes introduces new concerns such as functional safety, real-time computing, and cost-effective developments.
Hence, this Special Issue is dedicated to exploring advanced technologies for autonomous driving. We invite researchers to share their insights, from theoretical breakthroughs to practical solutions. Topics of interest include, but are not limited to, the following:
- Concept design of autonomous driving (AD) systems and advanced driving assistant systems (ADASs);
- Function safety design of AD systems and ADASs;
- Design of perception systems for AD and ADASs;
- Route planning and global optimization;
- Dynamic obstacle-aware manoeuvre generation and transient control;
- Reinforcement learning and deep reinforcement learning;
- End-to-end control of AD systems and ADAS;
- Prediction and accommodation of vulnerable road users.
Your contributions will be instrumental in shaping the future of autonomous driving, benefiting both industry and academia.
Dr. Sijing Guo
Dr. Bin Wang
Dr. Quan Zhou
Dr. Bin Shuai
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. Vehicles is an international peer-reviewed open access quarterly 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 1600 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 driving
- motion planning
- route planning
- manoeuvre generation
- dynamic obstacle avoidance
- decision making in shared control
