Intelligent Vehicle Collision Risk Modeling and Comprehensive Evaluation Method

EasyChair Preprint 1717

Abstract

Collision risk assessment is one of the key technologies of intelligent driving. At present, there are many studies on vehicle collision risk and its evaluation methods, but there are still some problems, such as multiple evaluation methods, inconsistent standards, and huge numerical range. Various evaluation methods make the quantitative description of the collision risk in the same scene different, and there are great differences in the description of the collision risk in different scenarios. It is not convenient to compare the collision risk degree in different dangerous scenarios horizontally. Based on the analysis of the mechanism and kinematics model of vehicle longitudinal and lateral collision, and the idea of time-distance model and motion model, this paper puts forward an evaluation method of vehicle longitudinal and lateral collision risk, and then puts forward a comprehensive evaluation method of vehicle collision risk during driving. This method takes into account both the simplicity of time-distance model calculation and the accuracy of motion model modeling. It can describe the collision risk in dangerous scenarios without dimension normalization. It is of great significance for the development and testing of intelligent vehicles.

Keyphrases: collision, intelligent vehicle, risk assessment

@booklet{EasyChair:1717,
  author    = {Jiaxiang Qin and Weiwen Deng and Rui He},
  title     = {Intelligent Vehicle Collision Risk Modeling and Comprehensive Evaluation Method},
  howpublished = {EasyChair Preprint 1717},
  year      = {EasyChair, 2019}}