Advances in Autonomous Vehicles: Motion Planning, Trajectory Prediction and Control, 2nd Edition

Dear Colleagues,

In recent years, with the ever-accelerated development and progressive maturation of key technologies, autonomous vehicles (e.g., self-driving cars and unmanned aerial vehicles) have moved from the stage of laboratories to open road field tests and even commercial demonstrations in not only urban driving scenarios but also specific traffic environments. Autonomous vehicles play an increasingly important role for national economy and human social life in many fields. Compared with human-driven vehicles, autonomous vehicles possess many advanced functions that do not require driver involvement, such as lane changing/keeping, adaptive cruise control, decision-making, and motion control. Due to the dynamic and uncertain nature of driving scenarios, the specific traffic environments impose many theoretical and technical challenges on the existing autonomous vehicle techniques. For these reasons, how autonomous vehicles can be programmed to behave in different driving situations to guarantee safety and efficiency remains among the key knowledge gaps that require scientific research.

This Special Issue calls for papers presenting novel works regarding scene understanding, trajectory prediction, decision-making, motion planning, and intelligent control of autonomous vehicles. The papers considered for possible publication may focus on, but are not limited to, the following areas:

• Environmental perception of autonomous vehicles in specific driving scenarios;
• Modelling of autonomous vehicles in specific driving scenarios;
• Decision-making for improving safety of autonomous vehicles;
• Multi-agent reinforcement learning for autonomous vehicles;
• Trajectory prediction of autonomous vehicles in specific driving scenarios;
• Localization, mapping and connection of autonomous vehicles;
• Motion planning of autonomous vehicles;
• Eco-driving of autonomous vehicles;
• Human–machine collaborative control of autonomous vehicles;
• Vehicle motion control in complex traffic environments;
• Vehicle-to-infrastructure cooperation.

Dr. Ying Zhang
Prof. Dr. Yingjie Zhang
Dr. Jinchao Chen
Dr. Yilan Li
Dr. Ming Li
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.

• autonomous vehicles
• trajectory prediction
• motion planning
• intelligent driving
• vehicle motion control

• Advances in Autonomous Vehicle: Motion Planning, Trajectory Prediction and Control in Electronics (10 articles)