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An Anticipated Functional Safety Risk Assessment Method for Autonomous Vehicle Misoperation

A technology for autonomous driving and expected functions, applied in special data processing applications, geometric CAD, design optimization/simulation, etc., can solve problems such as insufficient information about expected functions of autonomous vehicles, uncontrollable operating conditions, etc., to achieve improvement expectations Effectiveness of functional safety, risk reduction, safety and reliability

Active Publication Date: 2022-02-11
AUTOMOBILE RES INST OF TSINGHUA UNIV IN SUZHOU XIANGCHENG +1
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  • Abstract
  • Description
  • Claims
  • Application Information

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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  • An Anticipated Functional Safety Risk Assessment Method for Autonomous Vehicle Misoperation
  • An Anticipated Functional Safety Risk Assessment Method for Autonomous Vehicle Misoperation
  • An Anticipated Functional Safety Risk Assessment Method for Autonomous Vehicle Misoperation

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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 a method for assessing the expected functional safety risk of an automatic driving vehicle misoperation, which includes: analyzing the triggering event of the automatic driving vehicle misoperation to obtain the cause and occurrence scene of the triggering misoperation event; Construct and test the misoperation simulation test scene of the self-driving vehicle in order to improve the impact of misoperation on the expected functional safety; upload the functional performance limitations of the system / components of the self-driving vehicle caused by misoperation to the cloud management system for storage; Classify the severity of functions with limited performance, analyze the potential frequency of occurrence and detectability, and take corresponding countermeasures. The expected functional safety risk assessment method for self-driving vehicle misoperation can effectively and reasonably improve the expected functional safety of self-driving vehicle misoperation, reduce the risk caused by insufficient system performance, and ensure the safety and reliability of self-driving vehicles .

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 Patents(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