Advances in Autonomous Driving Technologies and Advanced Vehicle Systems
A special issue of Machines (ISSN 2075-1702).
Deadline for manuscript submissions: closed (31 October 2018) | Viewed by 705
Special Issue Editors
Interests: vehicle dynamics and control; connected and automated vehicles
Special Issues, Collections and Topics in MDPI journals
Interests: dynamics and control for vehicle systems (particularly for electric vehicle and autonomous driving vehicles); nonlinear vibration issues of mechanical systems
Special Issues, Collections and Topics in MDPI journals
Interests: vehicle dynamics and control systems; robust control theory and engineering applications; robotics and automation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
With the increasing demand for vehicle intelligence, advanced vehicle systems have been extensively investigated in recent years. This Special Issue aims to present the latest advances and technologies in the field of autonomous driving technologies and advanced vehicle systems. Topics include, but are not limited to: State estimation and behavior recognition in connected and automated vehicles, driver state detection and monitoring, driver intent prediction, driver assistance and automated vehicle systems, fault diagnostics and health monitoring for automated vehicles, deep learning algorithms for automated driving systems, computer vision and machine learning technologies developed for V2X collision detection and avoidance, big data analysis with applications to ADAS and automated vehicles, sensor fusion-based perception for autonomous cars, driving route prediction and optimal path planning.
Dr. Yaifei Wang
Dr. Chongfeng Wei
Prof. Dr. Haiping Du
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. Machines is an international peer-reviewed open access monthly journal published by MDPI.
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Keywords
- State estimation and behavior recognition
- Driver state detection and monitoring, driver intent prediction, driver assistance
- Fault diagnostics and health monitoring
- Advanced deep learning algorithms
- Computer vision and machine learning technologies for V2X applications
- Big data analysis with applications to ADAS and automated vehicles
- Sensor fusion-based perception techniques
- Driving route prediction and optimal path planning
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