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Test scene library construction method and device, electronic equipment and medium

A technology for test scenarios and construction methods, applied in the fields of artificial intelligence, autonomous driving, and autonomous parking, can solve problems such as reducing the validity and accuracy of test scenarios, and achieve the effect of reducing the number of test scenarios, improving accuracy, and avoiding construction.

Active Publication Date: 2019-12-17
APOLLO INTELLIGENT DRIVING (BEIJING) TECHNOLOGY CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Furthermore, the current construction of the test scenario library cannot focus on the scenarios that really need to be tested, reducing the effectiveness of the test scenarios and the accuracy of subsequent tests

Method used

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  • Test scene library construction method and device, electronic equipment and medium
  • Test scene library construction method and device, electronic equipment and medium
  • Test scene library construction method and device, electronic equipment and medium

Examples

Experimental program
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no. 1 example

[0057] figure 1 It is a flowchart of a method for building a test scenario library according to the first embodiment of the present application. This embodiment is applicable to the situation of building a test scenario library for testing autonomous vehicles. The method can be constructed by a test scenario library construction device To execute, the device is implemented in the form of software and / or hardware, and is preferably configured in electronic equipment. Such as figure 1 As shown, the method specifically includes the following:

[0058] S110. Determine the scene category of the scene element; wherein, the scene category is a perception class or a strategy class.

[0059] In the specific embodiments of this application, a scene element refers to the smallest unit for constructing a scene, which is used to describe the specific content of a certain aspect of the scene, for example, the weather is sunny, the obstacle is an adult, the safety distance is 20cm, and the...

no. 2 example

[0073] figure 2 It is a flow chart of a method for building a test scenario library according to the second embodiment of the present application. On the basis of the first embodiment above, this embodiment further explains the construction of the test scenario library, and can use strategy elements Layering is performed to build test scenarios based on any combination of elements between layers. Such as figure 2 As shown, the method specifically includes the following:

[0074] S210. Perform semantic understanding on the collected scene elements; classify according to the semantic understanding of the scene elements, and determine the scene category of the scene elements.

[0075] In the specific embodiment of the present application, a large number of scene elements can be collected as much as possible through vehicles, images, vision, network and other means, and various scene elements can be converted into text information. For example, based on vehicles with normal d...

no. 3 example

[0089] Figure 4 It is a flowchart of a test scenario library construction method according to the third embodiment of the present application. On the basis of the first embodiment above, this embodiment further explains the verification of the test scenario library, and can be based on the test scenario library. Validate structure update test scenario library. Such as Figure 4 As shown, the method specifically includes the following:

[0090] S410. Determine the scene category of the scene element; wherein, the scene category is a perception category or a policy category.

[0091] S420. From the scenario elements determined by the scenario category, select strategy-type elements.

[0092] S430. Construct a test scenario library according to policy elements.

[0093] S440. Perform scenario simulation on the target test scenario in the test scenario library to verify the validity of the target test scenario.

[0094] S450. Perform a real-vehicle closed test on the self-dr...

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Abstract

The embodiment of the application, which relates to the technical field of automatic driving, discloses a test scene library construction method and device, electronic equipment and a medium that canbe applied to the field of autonomous parking. The method comprises the following steps: determining scene categories, being a perception category or a strategy category, of scene elements; selectingstrategy type elements from the scene elements determined by the scene categories; constructing a test scene library according to the strategy type elements; and verifying the test scene library, andupdating the test scene library according to a verification result. The scene elements are classified into a perception category and a strategy category in advance and only strategy category elementshaving substantial influences on automatic driving are screened to construct the test scene library, thereby eliminating the coupling between the perception category elements and the strategy categoryelements; and thus the test scene library pays attention to the scenes which really need testing, so that the number of the test scenes is greatly reduced, construction of invalid scenes and repeatedscenes is avoided, and the effectiveness of the test scenes and the accuracy of subsequent tests are improved.

Description

technical field [0001] The embodiment of the present application relates to the technical field of artificial intelligence, especially to the technical field of automatic driving, which can be used in the field of autonomous parking, and specifically relates to a test scene library construction method, device, electronic equipment and medium. Background technique [0002] The testing of self-driving vehicles must be based on certain test scenarios. At present, the classification dimensions of scene elements are only based on the understanding of the objective world, and roughly list scene elements such as environment, ground features, and three-dimensional features. An invalid scene that does not exist, or a scene that is substantially repeated. Furthermore, the construction of the current test scenario library cannot pay attention to the scenarios that really need to be tested, which reduces the effectiveness of the test scenarios and the accuracy of subsequent tests. Co...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01C21/32G01C21/34G01C21/36G06F16/35
CPCG01C21/32G01C21/3453G01C21/3685G06F16/35G06F11/3684G06F11/3676G06F11/3692G06F11/3688G06F11/3664G06F16/23G06F30/20B60W60/001B60W50/06G07C5/0816
Inventor 蔡嘉坤
Owner APOLLO INTELLIGENT DRIVING (BEIJING) TECHNOLOGY CO LTD
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