Planning and Control of Connected Automated Vehicles Subjected to Sensor Failure/Attack
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: closed (1 July 2022) | Viewed by 3025
Special Issue Editors
Interests: decision-making; motion planning and control of connected and autonomous vehicles; unmanned vehicles and mobile robots
Special Issues, Collections and Topics in MDPI journals
Interests: autonomous vehicles; controls, mechatronics; terramechanics
Interests: intelligent vehicles; decision making and control
Special Issues, Collections and Topics in MDPI journals
Interests: vehicle dynamics and control; connected and automated vehicles
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Connected automated vehicles (CAVs) have been attracting vigorous attention due to the rapid developments of sensing technology, computing capacity, networking, and communication technologies. Reliable onboard sensors and rapid communications are essential for sharing sensing information and, hence, overall performance and security optimization in CAVs. Through vehicle-to-vehicle (V2V) communication, both human-driven vehicles (HDVs) and CAVs can actively exchange data. However, multiple sensors and advanced communication features are vulnerable to failures (e.g, GPS signal might be not available in certain terrains or scenes). The sensor and cybersecurity issues are also critical due to the severe consequences (collisions/crashes) during autonomous driving in mixed traffic that could be caused by attacks, as an attacker can manipulate the sensing/communication process or even physically control the CAVs. Topics include (but are not limited to) the following:
- Fault diagnosis and detection for sensing
- Sensor fusion in failure/attack condition
- Sensor fusion for vehicle and intelligent infrastructure cooperation
- Fault-tolerant planning and control
- Planning and control in GPS-denied condition
- Detection/estimation of cyber attacks
- Attack-resilient planning and control
- Network control systems
- Event-trigger control
- Machine learning applications
Prof. Dr. Chuan Hu
Prof. Dr. Hamid Taghavifar
Dr. Chongfeng Wei
Prof. Dr. Yafei Wang
Guest Editors
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