Test method and device, and equipment and medium

A test method and technology for test requirements, applied in electrical test/monitoring, test/monitoring control systems, instruments, etc., can solve problems such as difficult to reproduce stably, high cost, damage to dummy unmanned vehicles, etc., to achieve saving Cost of testing, effect of achieving precise control

Active Publication Date: 2019-04-02
APOLLO INTELLIGENT DRIVING (BEIJING) TECHNOLOGY CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, for some specific scenarios, it is difficult to reproduce stably, which is very important in the testing process of testing the control system of unmanned vehicles
For example, the test of vehicle collision risk and pedestrian collision risk can use dummy people and fake cars, but once a collision occurs, it is easy to cause damage to dummy people, fake cars and even unmanned vehicles, making the cost high and the test efficiency low
At the same time, it is difficult for this type of test method to control the precise movement of obstacles to achieve stable reproduction of the scene

Method used

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  • Test method and device, and equipment and medium
  • Test method and device, and equipment and medium
  • Test method and device, and equipment and medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0026] figure 1 It is a flow chart of the test method provided by Embodiment 1 of the present invention. This embodiment can be applied to the situation of passing the driving control test of unmanned vehicles. The method can be realized by the test device, specifically through the software and / or hardware in the equipment. In practice, the device can be integrated into any device for processing virtual scene data and measured scene data for testing, and the vehicle-mounted control device is optional. Such as figure 1 As shown, the test methods specifically include:

[0027] S110. Generate virtual scene data according to the test requirements and the current driving state data of the vehicle to be tested.

[0028] Among them, the test requirements refer to the selection and setting of specific test scenarios. For example, the test scenarios may include scenarios that may occur during vehicle driving, such as automatic car cut test, car following test, and pedestrian crossin...

Embodiment 2

[0041] figure 2 It is a flow chart of a testing method provided by Embodiment 2 of the invention. This embodiment provides a process of generating obstacle data according to different test requirements based on each optional solution in the foregoing embodiments. Such as figure 2 Shown, the test method provided in the embodiment of the present invention comprises the following steps:

[0042] S210. Generate virtual scene data according to the test requirements and the current driving state data of the vehicle to be tested.

[0043]When generating the virtual scene data, according to the requirements of the collision test, and at least one of the current position and speed of the vehicle to be tested, calculate the moving track of the obstacle relative to the vehicle to be tested, and generate continuous frames according to the shape of the virtual obstacle virtual obstacle data.

[0044] In the crash test scene, according to the set movement mode and corresponding set pa...

Embodiment 3

[0056] image 3 A schematic structural diagram of a test device provided by Embodiment 3 of the present invention is shown, and this embodiment of the present invention is applicable to the situation of testing the driving control of an unmanned vehicle.

[0057] Such as image 3 As shown, the test device for vehicle driving control in the embodiment of the present invention includes: a virtual scene data generation module 310 , a final scene data generation module 320 and a control module 330 .

[0058] Wherein, the virtual scene data generation module 310 is used to generate virtual scene data according to the test requirements and the current driving state data of the vehicle to be tested; the final scene data generation module 320 is used to combine the virtual scene data with the measured scene data to form the final scene data. Scenario data; a control module 330, configured to control the vehicle under test according to the final scenario data.

[0059] In the technic...

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Abstract

The embodiment of the invention discloses a test method and device, and equipment and a medium. The method includes: generating virtual scene data according to a test requirement and a current drivingstate data of a to-be-tested vehicle; combining the virtual scene data with actually measured scene data to form final scene data; and according to the final scene data, controlling the to-be-testedvehicle. Therefore, a problem that the scene reproduction cost is high and the test efficiency is low when the unmanned vehicle control system is tested at a specific scene is solved. A controllable obstacle can be injected into the vehicle control testing process; and precise controlling of an obstacle is realized and the specific scene is reproduced stably. Meanwhile, since the virtual obstacledoes not have maintenance and repairing problems, an objective of saving the test cost is achieved.

Description

technical field [0001] Embodiments of the present invention relate to vehicle driving control technologies, and in particular to a testing method, device, equipment and medium. Background technique [0002] Autonomous vehicle technology is constantly evolving, and both the hardware and software features required for vehicle control are continually being improved and updated. In order to ensure the safety of the vehicle, it is usually necessary to test various performances of the vehicle to test the ability of the vehicle to collect and identify environmental data, and to perform response control based on the identification results. [0003] The actual scene of vehicle driving is very complex and changeable, and the test process also requires comprehensive testing of each scene. However, for some specific scenarios, it is difficult to reproduce stably, which is very important in the testing process of testing the control system of unmanned vehicles. For example, the test of...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B23/02
CPCG05B23/0221
Inventor 陈亚京杨光
Owner APOLLO INTELLIGENT DRIVING (BEIJING) TECHNOLOGY CO LTD
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