A5023086691- Autonomous Vehicle Technology and Safety
- Traffic control and management
- Robotic Path Planning Algorithms
- International Law and Human Rights
- Control and Dynamics of Mobile Robots
- Traffic and Road Safety
- Adaptive Control of Nonlinear Systems
Beijing Institute of Technology
2010-2024
Compliance with traffic laws is a fundamental requirement for human drivers on the road, and autonomous vehicles must adhere to as well. However, current prioritize safety collision avoidance primarily in their decision-making planning, which will lead misunderstandings distrust from may even result accidents mixed flow. Therefore, ensuring compliance of driving system essential promoting widespread adoption technology. To this end, paper proposes trigger-based layered framework. This...
In urban environments, the complex and uncertain intersection scenarios are challenging for autonomous driving. To ensure safety, it is crucial to develop an adaptive decision making system that can handle interaction with other vehicles. Manually designed model-based methods reliable in common scenarios. But they not reliable, so learning-based proposed, especially reinforcement learning (RL) methods. However, current RL need retraining when change. words, cannot reuse accumulated...