Xie, Yujia (Beijing Institute of Technology), Nie, Shida (Beijing Institute of Technology), zhang, fawang (Beijing Institute of Technology), Guo, Congshuai (Beijing Institute of Technology), Guo, Lingxiong (Beijing Institute of Technology)

Risk Assessment on Off-Road Environment from the Driver's Perspective

Scheduled for presentation during the Poster Session "Safety and Reliability Techniques for Autonomous Vehicles" (ThBT15), Thursday, September 26, 2024, 14:30−16:30, Foyer

2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC), September 24- 27, 2024, Edmonton, Canada

This information is tentative and subject to change. Compiled on December 26, 2024

Abstract

Reasonable risk assessment is pivotal in aiding path planning algorithms to ascertain safe, collision-free paths while minimizing the path length. In this paper, we propose a unified risk field as a method of risk assessment from the driver's perspective. It synthesizes and quantifies the relationship between environmental factors, ego vehicle characteristics, and the occupants' attributes, which include passengers and cargo, enabling a comprehensive evaluation of risks. A notable feature of our method is the integration of Non-Uniform Safety Margin Expression (NSME) into the unified risk field, enabling adaptive and anisotropic safety margins. This enhancement significantly improves vehicle driving efficiency. Additionally, by incorporating driving style constraints, our method provides a more personalized risk assessment. Moreover, our approach considers terrain-related risks to minimize path slope and enhance safety. To validate the effectiveness of our method, we integrate it with the Probabilistic Roadmap (PRM) path planning algorithm and conduct thorough simulations.