Abnormality detection method and device for automatic driving test, computer equipment and storage medium

A technology of automatic driving and manual driving, applied in design optimization/simulation, special data processing applications, geometric CAD, etc., can solve problems such as prone to false detection, missed detection, and low detection efficiency

Active Publication Date: 2020-11-03
GUANGZHOU WERIDE TECH LTD CO +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention provides an abnormality detection method, device, computer equipment and storage medium for automatic driving tests to

Method used

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  • Abnormality detection method and device for automatic driving test, computer equipment and storage medium
  • Abnormality detection method and device for automatic driving test, computer equipment and storage medium
  • Abnormality detection method and device for automatic driving test, computer equipment and storage medium

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Experimental program
Comparison scheme
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Embodiment 1

[0068] image 3 It is a flow chart of an abnormality detection method for an automatic driving test provided by Embodiment 1 of the present invention. This embodiment is applicable to the case of abnormality detection for automatic driving test results, and the method can be executed by an abnormality detection device. The anomaly detection device can be implemented by software and / or hardware, and can be configured in computer equipment, such as computing equipment such as servers and personal computers, etc., and the method specifically includes the following steps:

[0069] Step 301, simulate the operation object to perform automatic driving on the virtual vehicle in the scene data, so as to test the automatic driving program, and obtain the test result.

[0070] For different business fields, different operation objects can be set, that is, objects with specific business operation capabilities. For the test in the field of automatic driving, the operation objects are objec...

Embodiment 2

[0133] Figure 5 It is a flow chart of an abnormality detection method for automatic driving test provided by Embodiment 2 of the present invention. Based on the foregoing embodiments, this embodiment supplements and refines the content of the abnormality detection method for automatic driving test. The method Specifically include the following steps:

[0134] Step 501, simulate the operation object to perform automatic driving on the virtual vehicle in the scene data, so as to test the automatic driving program, and obtain the test result.

[0135] In practical applications, when a vehicle equipped with an automatic driving system is tested on the road, in order to avoid emergencies, it is usually equipped with a safety officer who can perform dynamic driving tasks on the vehicle. Dynamic driving tasks include Control the speed, steering, lane change, lights, horn, etc. of the vehicle, including active avoidance of obstacles, planning of the actual driving path, decision-mak...

Embodiment 3

[0163] Image 6 It is a schematic structural diagram of an abnormality detection device for an automatic driving test provided in Embodiment 3 of the present invention. The device may specifically include the following modules:

[0164] The data acquisition module 601 is used to simulate the operation object to perform automatic driving on the virtual vehicle in the scene data to test the automatic driving program and obtain test results. The scene data is collected when the real vehicle is driving on the road;

[0165] A query module 602, configured to query a switch operation in the test result, the switch operation represents switching from the automatic driving mode to the manual driving mode, and switching from the manual driving mode to the automatic driving mode;

[0166] A target operation determining module 603, configured to determine the switching operation as a target operation if the switching operations are the same;

[0167] A state determination module 604, co...

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Abstract

The embodiment of the invention discloses an anomaly detection method and device for an automatic driving test, computer equipment and a storage medium, and the method comprises the steps: simulatingan operation object to carry out the automatic driving of a virtual vehicle in scene data, so as to test an automatic driving program and obtain a test result, wherein the scene data is collected whena real vehicle drives on a road surface; querying a switching operation in the test result, wherein the switching operation indicates switching from the automatic driving mode to the manual driving mode and switching from the manual driving mode to the automatic driving mode; if the switching operations are the same, determining the switching operation as a target operation; determining the stateof the automatic driving program in the scene data of the target operation; and if the state is the abnormal state, positioning the factor of the target operation in the abnormal state according to the test result. Whether the test result of the automatic driving program in the real scene is abnormal or not is judged according to the state of the target operation, so that the anomaly detection efficiency and accuracy are improved.

Description

technical field [0001] Embodiments of the present invention relate to automatic driving technologies, and in particular to an abnormality detection method, device, computer equipment and storage medium for automatic driving tests. Background technique [0002] As the main direction of the development of intelligence and networking in the field of global automobiles and transportation, autonomous driving will have important value in future transportation. [0003] In order to ensure the safety of the vehicle's automatic driving system, it is usually necessary to conduct some simulation tests on the automatic driving software in a non-real vehicle environment, and analyze the test results output by these tests to locate the problems that occur during the operation of the automatic driving program. question. [0004] However, due to the complex and diverse scenarios of autonomous driving, there will be differences in the test results of autonomous driving programs based on dif...

Claims

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Application Information

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IPC IPC(8): G06F30/15G06F30/20
CPCG06F30/15G06F30/20
Inventor 王亚亮黄星尧谭伟华韩旭
Owner GUANGZHOU WERIDE TECH LTD CO
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