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Vehicle-in-loop automatic driving vehicle testing method, system and device in mixed scene

A technology of automatic driving and testing methods, applied in testing/monitoring control systems, general control systems, electrical testing/monitoring, etc., can solve problems such as high risk factor of simulation testing, high testing costs, and dependence on testing sites, etc., to achieve effective autonomy Driving test, the effect of less resource usage

Active Publication Date: 2021-01-08
XI AN JIAOTONG UNIV
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the problems of high risk factor, high test cost, difficult to reproduce the scene or highly dependent on the test site in the prior art for the simulation test of autonomous driving vehicles, the present invention provides a hybrid scene that supports the vehicle in the virtual and real world. Flexible self-driving vehicle testing method, system and device for the loop

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  • Vehicle-in-loop automatic driving vehicle testing method, system and device in mixed scene
  • Vehicle-in-loop automatic driving vehicle testing method, system and device in mixed scene
  • Vehicle-in-loop automatic driving vehicle testing method, system and device in mixed scene

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Embodiment Construction

[0041] In order to more clearly introduce the specific content and advantages of the present invention, a further description will be given below in conjunction with the drawings and embodiments. The examples involved in the implementation modes are used to introduce the overall process of the present invention, but not to limit the scope of application of the present invention.

[0042] refer to figure 1 , figure 2 and image 3 , a flexible self-driving vehicle testing method that supports a vehicle in a loop under a mixed scene that combines virtual reality and reality provided by the present invention includes:

[0043] S1. Build a semantic map by yourself or build a semantic map based on the high-precision point cloud map of the real scene;

[0044] S2. Generate a 3D scene model by semantic map modeling as the background environment of the simulation scene;

[0045] S3. Configure simple obstacles in the real scene, including but not limited to water horses, cones, etc...

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Abstract

The invention discloses a vehicle-in-the-loop automatic driving vehicle testing method, system and device in a mixed scene. The method comprises the steps that a 3D scene model is generated based on asemantic map; a real vehicle obtains vehicle-mounted sensor data in a real scene configured with obstacles, vehicle-mounted sensor data are preprocessed, pedestrian, vehicle and dynamic and static obstacle information is configured in a simulation scene, vehicle obstacle avoidance and multi-vehicle interaction based on laser radar ranging are used, and a virtual traffic flow is formed; obstacle information configured in the simulation scene is processed into a sensing result, and the sensing result is fused to serve as a sensing result in simulation; a sensing result in the simulation scene is fused with sensor data preprocessed in a real scene to obtain a control instruction of the vehicle, and the control instruction is executed by the real vehicle to move in the simulation scene and the real scene, and the sensing result in the simulation scene and the multi-sensor sensing result in the real scene are updated and fed back to form a test loop.

Description

technical field [0001] The invention belongs to the technical field of automatic driving vehicle testing, and in particular relates to a vehicle-in-the-loop automatic driving vehicle testing method, system and device in a mixed scene. Background technique [0002] The stability and safety of self-driving vehicles must be guaranteed before they are put into practical use, which requires comprehensive and repeated testing of software, hardware, and all possible unexpected situations. An autonomous vehicle includes at least multiple components such as vehicles, sensors, computing units, operating systems, and algorithm software. For traditional vehicles, manufacturers find and correct vehicle problems through millions of kilometers of actual road tests. However, this method is dangerous and time-consuming for self-driving vehicles, a multi-component system that combines hardware and software. Therefore, everyone is looking for A safe, reliable, low-cost, repeatable method for ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B23/02
CPCG05B23/0213G05B2219/24065
Inventor 郑南宁肖同陈雨陈仕韬朱孔涛辛景民
Owner XI AN JIAOTONG UNIV