Guest Editors
Prof. Jinchao Chen
Email: cjc@nwpu.edu.cn
Affiliation: School of Computer Science, Northwestern Polytechnical University, Xi′an, 710139, China
Homepage:
Research Interests: artificial intelligence, unmanned aerial vehicles
Assoc. Prof. Ying Zhang
Email: ying_zhang@nwpu.edu.cn
Affiliation: School of Computer Science, Northwestern Polytechnical University, Xi′an, 710139, China
Homepage:
Research Interests: connected and autonomous vehicles (CAVs), unmanned aerial vehicles (UAVs), and other autonomous systems
Summary
Most recently, autonomous vehicles (e.g., self-driving cars, unmanned surface vehicles, and unmanned aerial vehicles) and intelligent systems are among the most exciting and innovative technologies in the field of transportation. Autonomous vehicles can share their detected information (e.g., physical surroundings, collision events, threat messages, etc.) with others via various communication systems (e.g., aircraft addressing and reporting systems, vehicular ad hoc networks, long-term evolution, and 4G/5G mobile networks, etc.) for cooperation and coordination. Autonomous vehicles play an increasingly important role in the national economy and human social life in many fields, such as traffic monitoring, disaster relief, anti-terror campaigns, and target acquisition. Compared with manned vehicles, autonomous vehicles could save a human from dull, dirty, and dangerous tasks and carry out facilities efficiently. With the advances in various computing models and control strategies, a greater number of researchers and practitioners have actively started focusing on the key technologies and intelligent applications of autonomous vehicles. Meanwhile, with the integration of artificial intelligence, machine learning, data mining, signal processing, and other technologies, many intelligent applications of autonomous vehicles are growing rapidly and are widely applied. Advances in autonomous vehicles affect every part of life, business, industry, and education, and become an important driver of benefit to many companies and organizations.
The potential topics of this organized session include, but are not limited to:
- Knowledge-based AI for vehicle perception, control, and decision-making
- Artificial intelligence applications for autonomous vehicles
- Data science in autonomous vehicle systems
- Localization, mapping, and semantic segmentation for autonomous vehicles
- Collaborative perception and control of vehicle swarms
- High safety and reliability communication networks
- Simulation and verification of autonomous vehicle systems
- Task allocation and resource scheduling for multi-agent systems
- Fault detection and diagnosis for autonomous vehicles
- Human-robot interaction for autonomous robots
- Motion drive and teleoperation control for autonomous vehicles
Keywords
Artificial intelligence, autonomous vehicle, multi-agent system
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