Safety and Security of AI in Autonomous Driving
A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Vehicle Engineering".
Deadline for manuscript submissions: 31 October 2024 | Viewed by 377
Special Issue Editors
Interests: machine learning; industrial control systems; anomaly detection; fault detection; intrusion detection system; materials; electric vehicles; unmanned aerial vehicle (UAV); faulty sensors; fault detection and isolation; abrupt fault; feedback linearization control
Interests: autonomous driving systems; safety, security, machine learning; anomaly detection; fault detection; intrusion detection system; materials; electric vehicles; unmanned aerial vehicles (UAV); faulty sensors; fault detection and isolation; abrupt fault; feedback linearization control
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Safety and security are significant enablers for self-driving vehicles and the future of transportation. Any security issues in these complex machines can lead to a safety-critical event, such as a life-threatening accident. As a result, there is an urgent need to develop algorithms and tools that can evaluate their system and security. Developing a safe and secure self-driving car requires extensive knowledge in a variety of aspects, including, but not limited to, safety, security, perception, localization, control, path planning, prediction, sensing, etc. Furthermore, the recent increase in the use of Artificial Intelligence (AI) in self-driving technologies opens up a broad field of research with tremendous progress in addressing the fundamental challenges of ensuring their safety and security.
This Special Issue of Machines focuses on the most recent scientific and technical research in both academic and industrial sectors. For autonomous driving technologies, these topics include, but are not limited to, the following:
- Safety and security analysis of self-driving cars;
- Safe and secure path prediction and planning;
- Safe and secure localization;
- Safe and secure object detection and classification;
- Sensor spoofing detection and mitigations;
- Safe and secure machine learning.
We look forward to receiving your submissions.
Dr. Sohrab Mokhtari
Dr. Alireza Abbaspour
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.
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.
