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Expected function safety risk assessment method for misoperation of automatic driving vehicle

A technology of automatic driving and expected functions, applied in special data processing applications, geometric CAD, design optimization/simulation, etc., can solve the problems of unclear information about the expected functions of autonomous vehicles, uncontrollable operating conditions, etc., and achieve improvement expectations Effects of functional safety, risk reduction, and assurance of safety and reliability

Active Publication Date: 2021-04-13
AUTOMOBILE RES INST OF TSINGHUA UNIV IN SUZHOU XIANGCHENG +1
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AI Technical Summary

Problems solved by technology

Self-driving vehicles are based on scenarios, and safety is based on the need to put driving safety first. However, the reality is that many drivers do not put driving safety first. The relevant self-driving vehicles provided to drivers The information of the expected function is not clear enough, the uncontrollability of key operating conditions, etc., which will lead to danger. How to reduce the risk to confirm the safety of the expected function of autonomous driving is a challenge for SOT IF

Method used

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  • Expected function safety risk assessment method for misoperation of automatic driving vehicle
  • Expected function safety risk assessment method for misoperation of automatic driving vehicle
  • Expected function safety risk assessment method for misoperation of automatic driving vehicle

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Embodiment Construction

[0033] The technical solution of the present invention will be further described below in conjunction with the accompanying drawings.

[0034] Such as figure 1 As shown, the anticipatory functional safety risk assessment method for the misoperation of the self-driving vehicle of the present invention comprises the following steps:

[0035] S 1. Analysis of events triggered by misoperation of self-driving vehicles

[0036] Before analyzing the specific trigger event based on the misoperation of the autonomous vehicle, it is necessary to identify the potential dangerous behavior caused by the misoperation, and then analyze the trigger event by comparing the driver elements and specific environmental conditions with the expected dangerous scene and the safe scene, as shown in Table 1 As shown in , it mainly includes risk events caused by misoperations and corresponding trigger events. For example, curiosity drives the automatic driving function to be turned on / off frequently, a...

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Abstract

The invention discloses an expected function safety risk assessment method for misoperation of an automatic driving vehicle, and the method comprises the steps that the analysis of a misoperation triggering event of the automatic driving vehicle is carried out, and a reason for triggering the misoperation event and an happening scene are obtained; an automatic driving vehicle misoperation simulation test scene is constructed in simulation software and tested, and the influence of misoperation on expected function safety is improved; uploading functional performance limitations, caused by misoperation, of the system / component of the automatic driving vehicle to a cloud management system for storage; severe grading is carried out on functions with limited performance, and potential occurrence frequency and detectable degree are analyzed so as to take corresponding measures. By means of the expected function safety risk assessment method for misoperation of the automatic driving vehicle, the expected function safety of misoperation of the automatic driving vehicle can be effectively and reasonably improved, risks caused by insufficient system performance are reduced, and the safety and reliability of the automatic driving vehicle are guaranteed.

Description

technical field [0001] The invention relates to the technical field of unmanned driving testing, in particular to a method for evaluating the risk of expected functional safety for misoperation of autonomous driving vehicles. Background technique [0002] Self-driving vehicles are designed to solve the unsafe problem of human driving. According to NHTSA (U.S. Department of Transportation Highway Safety Administration) statistics, about 25,000 people die on U.S. highways every year, and 94% of them are caused by the ineffective driving function caused by the driver. However, automatic driving will produce safety problems that new human drivers do not have—Unknown (unknown), Unsafety (unsafe), that is, the expected functional safety SOTIF. Anticipated functional safety SOTIF emphasizes avoiding unreasonable risks due to expected functional performance limitations and insufficient performance. That is to say, when all the functions of the vehicle do not fail, the driving safe...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20G06F30/15
CPCG06F30/20G06F30/15
Inventor 李茹马育林田欢孙川郑四发
Owner AUTOMOBILE RES INST OF TSINGHUA UNIV IN SUZHOU XIANGCHENG