A5005222445- Autonomous Vehicle Technology and Safety
- Traffic Prediction and Management Techniques
- Vehicle Dynamics and Control Systems
- 3D Surveying and Cultural Heritage
- Bayesian Modeling and Causal Inference
- Traffic control and management
- Remote Sensing and LiDAR Applications
- 3D Shape Modeling and Analysis
Beijing Jiaotong University
2024
Tianjin University
2021
A key research area in autonomous driving is how to model the driver’s decision-making behavior, due fact it significant for a self-driving vehicles considering their traffic safety and efficiency. However, uncertain characteristics of vehicle pedestrian trajectories affect urban roads, which poses severe challenges cognitive understanding systems terms accuracy robustness. To overcome abovementioned problems, this paper proposes Bayesian driver agent (BDA) vision-based system with learning...
The path tracking control system is a crucial component for autonomous vehicles; it challenging to realize accurate when approaching wide range of uncertain situations and dynamic environments, particularly such must perform as well as, or better than, human drivers. While many methods provide state-of-the-art performance, they tend emphasize constant PID parameters, calibrated by experience, improve accuracy. A detailed analysis shows that controllers inefficiently reduce the lateral error...