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: closed (31 October 2024) | Viewed by 1374
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
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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
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