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Vehicle expected function hazard assessment method and device, equipment and storage medium

A technology of expected functions and vehicles, applied in the automotive field, can solve problems such as poor accuracy of safety assessment, and achieve the effect of improving the accuracy of assessment

Pending Publication Date: 2021-02-26
ANHUI JIANGHUAI AUTOMOBILE GRP CORP LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The main purpose of the present invention is to provide a method, equipment, storage medium and device for assessing the hazards of the expected function of a vehicle, aiming to solve the technical problem of poor accuracy in the safety assessment of the expected functional safety events of automatic driving in the prior art

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  • Vehicle expected function hazard assessment method and device, equipment and storage medium
  • Vehicle expected function hazard assessment method and device, equipment and storage medium
  • Vehicle expected function hazard assessment method and device, equipment and storage medium

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Embodiment Construction

[0045] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0046] refer to figure 1 , figure 1 It is a schematic structural diagram of the vehicle's expected function hazard assessment device for the hardware operating environment involved in the solution of the embodiment of the present invention.

[0047] Such as figure 1 As shown, the vehicle prospective function hazard assessment device may include: a processor 1001 , such as a central processing unit (Central Processing Unit, CPU), a communication bus 1002 , a user interface 1003 , a network interface 1004 , and a memory 1005 . Wherein, the communication bus 1002 is used to realize connection and communication between these components. The user interface 1003 may include a display screen (Display). The optional user interface 1003 may also include a standard wired interface and a wireless interface. The wired interfac...

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Abstract

The invention discloses a vehicle expected function hazard assessment method and a device, equipment and a storage medium, and the method comprises the steps: obtaining vehicle safety information of ato-be-assessed vehicle, carrying out the analysis according to an expected safety triggering condition, obtaining an expected function safety triggering event, and carrying out the analysis through apreset hazard event recognition assessment model; obtaining vehicle hazard information; and classifying the vehicle hazard information according to the vehicle safety integrity level to determine thehazard level of the vehicle hazard information. The expected function safety trigger event is analyzed through the preset hazard event recognition and evaluation model, so that the vehicle hazard information is obtained; classifying the vehicle hazard information according to the vehicle safety integrity level; and determining the hazard level of the vehicle hazard information according to the classification result. Compared with the prior art that the data accuracy is poor due to the fact that the expected function modeling mode is single, the method achieves scientific modeling of the automatic driving expected function, and therefore the evaluation accuracy is improved.

Description

technical field [0001] The present invention relates to the technical field of automobiles, in particular to a method, equipment, storage medium and device for assessing the hazards of vehicle expected functions. Background technique [0002] At present, with the development of the automobile industry, the safety and functional requirements of automobiles continue to increase, and the automatic driving system is becoming more and more complex, introducing various complex sensing systems (such as millimeter wave radar, lidar) and algorithms (such as machine learning) Wait. These sensing systems and algorithms can directly impact safety in some cases. In 2016-2018 alone, there were 8 accidents of self-driving injuries. The data shows that the main cause of autopilot traffic accidents is due to system design flaws or personnel misuse of the autopilot system. Therefore, the development and research of autonomous driving systems has become particularly important. The existing ...

Claims

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Application Information

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IPC IPC(8): G06Q10/06
CPCG06Q10/0635G06Q10/0639G06Q10/067
Inventor 吴琼姜建满徐毅林丁钊
Owner ANHUI JIANGHUAI AUTOMOBILE GRP CORP LTD
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