Design of Automatic Driving Safety Level and Positioning Accuracy

TL;DR

This paper proposes a framework for assessing autonomous driving safety levels and positioning accuracy in China, integrating safety standards, accident data, and risk allocation methods to improve vehicle safety and positioning precision.

Contribution

It introduces a risk allocation approach based on international standards and accident data, and designs positioning accuracy requirements using a vehicle 'positioning box' model for China.

Findings

Risk allocation model tailored for China's autonomous driving context

Theoretical calculation of positioning alarm limits for safety

Design of vehicle positioning accuracy standards

Abstract

Autonomous driving is a hot research topic in the frontier of science and technology. Technology companies and traditional car companies are developing and designing autonomous driving technology from two different directions. Based on the automatic driving classification standard and ISO safety level, combined with the number of traffic accidents and death data in China, and referring to the risk allocation method of the automated driving virtual drive system in the United States, the risk allocation of China's virtual drive system will be carried out. In addition, combined with the vehicle "positioning box" model, the theoretical calculation of the alarm limit of positioning accuracy in China will be carried out and the positioning accuracy requirements of related vehicles will be designed.