A5083960942- Autonomous Vehicle Technology and Safety
- Human-Automation Interaction and Safety
- Traffic and Road Safety
- Vehicle Dynamics and Control Systems
- Advanced Decision-Making Techniques
- Technology and Data Analysis
- Traffic control and management
- EEG and Brain-Computer Interfaces
- Robotic Path Planning Algorithms
- Advanced Measurement and Detection Methods
- Anomaly Detection Techniques and Applications
- Vehicle License Plate Recognition
- Safety Systems Engineering in Autonomy
- Risk and Safety Analysis
- Electric and Hybrid Vehicle Technologies
- Traffic Prediction and Management Techniques
- Occupational Health and Safety Research
Hainan University
2022-2025
Beihang University
2023-2024
Yanshan University
2019
How to drive safely in complex real-world traffic settings has long been a question and challenge for autonomous vehicles (AVs). Decision-making systems (DecSs) are the core of AVs, their safety rationality crucial. Several decision-making techniques algorithms have applied AVs; however, they still subject limitations deficiencies, making it impossible fully guarantee safety. Thus, is necessary conduct assessment state performance DecSs AVs reduce driving risks implement immediate measures....
Autonomous vehicle technology has developed at an unprecedented rate in recent years. An increasing number of vehicles are equipped with different levels driving assist systems to reduce the human driver’s burden. However, because conservative design its programming framework, there is still a large gap between performance current autonomous and experienced veteran drivers. This can cause drivers distrust decisions or behaviors made by vehicles, thus affecting effectiveness drivers’ use...
To solve the security control problem of two in-wheel motors front-drive electric vehicles with single motor failure, an electromechanical composite brake method based on normal working and systems is proposed. First, system model established characteristics verified by bench test. Then, vehicle that has been a test, instability mechanism failure analyzed. Next, taking yaw rate side-slip angle as state variables, in-loop controller predictive theory designed; variable, outer-loop fuzzy...
For current autonomous vehicles, real-time monitoring of driver states and prompt identification abnormal behaviors during the driving process are paramount importance for safety. This paper proposes an innovative edge-cloud fusion anomaly detection system to address issues unstable performance high computational demands existing systems. Our achieves instantaneous on edge side while transmitting crucial facial features cloud long-term detection. The proposed method employs unsupervised...