A Prospective Functional Safety Risk Assessment Method for False/Omission Identification in Autonomous Vehicles
A technology of automatic driving and expected functions, which is applied in the direction of vehicle position/route/height control, motor vehicle, control/regulation system, etc. It can solve the problems of unclear information about the expected functions of automatic driving vehicles and uncontrollable operating conditions, etc. Achieve the effect of improving expected functional safety, reducing risk, ensuring safety and reliability
Active Publication Date: 2022-05-31
AUTOMOBILE RES INST OF TSINGHUA UNIV IN SUZHOU XIANGCHENG +1
View PDF6 Cites 0 Cited by
- Summary
- 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 SOTIF
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0037]
[0038]
[0041] (1) Different test scenarios are obtained by analyzing and identifying mis / missing identification trigger events.
[0042] (2) Determine the final test scene.
[0044] (3) Build a simulation test scene for automatic driving vehicle error / missing recognition in simulation software.
[0047] A1. Create a virtual test scenario in the simulation software.
[0049] A2. In the simulation software, the sensor and the bottom execution control layer for the real vehicle are externally connected.
[0051] A3. Add the same control decision-making algorithm as the real vehicle in the simulation test software.
[0053] A4. Add the vehicle driving environment in the simulation software.
[0056] (4) The test results are analyzed and improvement measures are proposed.
[0058] S3, upload the functional performance limitations of the systems / components of the self-driving vehicle caused by false / missing recognition
[0060] S4, the function of the performance limitation is...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention discloses an expected functional safety risk assessment method for false / missing recognition of automatic driving vehicles, which includes: analyzing the triggering events of false / missing recognition of automatic driving vehicles, and obtaining the cause and occurrence of triggering false / missing recognition events scenarios; Construct and test the false / missing recognition simulation test scenarios of self-driving vehicles in the simulation software to improve the impact of false / missing recognition on expected functional safety; The performance limitations of the functions are uploaded to the cloud management system for storage; the functions with performance limitations are classified into severity levels, and the potential occurrence frequency and detectability are analyzed to take corresponding countermeasures. The invention can effectively and reasonably improve the expected functional safety of false / missing recognition of autonomous driving vehicles, reduce risks caused by insufficient system performance, and ensure the safety and reliability of autonomous driving vehicles.
Description
A prospective functional safety risk assessment for false / miss identification of autonomous vehicles method technical field The present invention relates to the technical field of unmanned testing, be specifically related to a kind of mistake / missing identification for automatic driving vehicle The expected functional safety risk assessment method. 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 each year on U.S. highways, 94% of which are caused by the driver's driving function caused by ineffectiveness. But autonomous driving creates safety problems that new human drivers don’t—Unknown (unknown) Known), Unsafety (unsafe), that is, the expected functional safety SOTIF. Intended functional safety SOTIF emphasizes the avoidance of Unreasonable risks due to limited functional perform...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Patents(China)
IPC IPC(8): G05D1/02
CPCG05D1/0246G05D1/0257G05D1/0214G05D1/0221G05D1/0276
Inventor 李茹马育林田欢孙川郑四发
Owner AUTOMOBILE RES INST OF TSINGHUA UNIV IN SUZHOU XIANGCHENG