Mixed reality automatic driving test method and virtual test platform oriented to intelligent network demonstration area

A technology of mixed reality and automatic driving, applied in electrical testing/monitoring, testing/monitoring control systems, simulators, etc., can solve problems such as panic in autonomous driving vehicles, insufficient testing, and instability of autonomous driving vehicle systems, and reduce The effect of test cost, improvement of vehicle driving safety and improvement of test efficiency

Active Publication Date: 2020-04-24
AUTOMOBILE RES INST OF TSINGHUA UNIV IN SUZHOU XIANGCHENG
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in recent years, companies such as Tesla, Google, and Uber have caused a series of traffic accidents due to their self-driving vehicle system instability and insufficient testing, which has caused people to panic about self-driving vehicles.

Method used

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  • Mixed reality automatic driving test method and virtual test platform oriented to intelligent network demonstration area
  • Mixed reality automatic driving test method and virtual test platform oriented to intelligent network demonstration area

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Experimental program
Comparison scheme
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Embodiment Construction

[0035] The technical solution of the present invention will be further described below in conjunction with the accompanying drawings.

[0036] Mixed reality, including augmented reality and augmented virtuality, refers to a new visualization environment created by merging the real and virtual worlds.

[0037] Such as figure 1 As shown, the test method of the present invention for mixed reality automatic driving in the intelligent network demonstration area includes the following steps:

[0038] A. Virtual testing

[0039] (1) Create a virtual vehicle driving environment, establish a vehicle dynamics model and a vehicle sensor system model.

[0040] Specifically, according to the real weather conditions, road environment, information collected from traffic scenes and test requirements, create a virtual vehicle driving environment through SCANeR software.

[0041] When establishing a vehicle dynamics model, it is created based on the parameters of the real vehicle, or the veh...

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PUM

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Abstract

The invention discloses a mixed reality automatic driving test method and a virtual test platform oriented to an intelligent network demonstration area. The test method comprises a virtual test, and the virtual test comprises the following steps: S1, creating a virtual vehicle driving environment, and establishing a vehicle dynamics model and a vehicle-mounted sensing system model; S2, enabling the vehicle dynamics model to operate according to an unmanned driving mode, and detecting the performance of the vehicle dynamics model; S3, enabling an obstacle vehicle to change, and testing an automatic control behavior corresponding to the vehicle dynamics model; S4, enabling the vehicle dynamics model to operate according to a manual driving mode, and testing the manual takeover operation performance of the vehicle dynamics model; and S5, recording test data, and analyzing the test data. According to the test method, real-time man-machine switching of the driving modes can be realized, andthus the vehicle driving safety is improved; and automatic driving trajectory planning, trajectory tracking and actuator control performance testing in a virtual intelligent network demonstration area scene can be realized, so that the testing cost can be reduced, and the testing efficiency can be improved.

Description

technical field [0001] The invention relates to the technical field of unmanned driving testing, in particular to a testing method and a virtual testing platform for mixed reality automatic driving in an intelligent network demonstration zone. Background technique [0002] With the rapid development of self-driving vehicles, our travel will become more efficient and more environmentally friendly. It can not only make up for the lack of human sensory ability, eliminate traffic accidents caused by human factors, reduce the intensity of human driving operations, but also control and predict According to the behavior and running status of the car, a reasonable travel route is planned according to the real-time road condition information. However, in recent years, companies such as Tesla, Google, and Uber have caused a series of traffic accidents due to unstable self-driving vehicle systems and insufficient testing, which has caused people to panic about self-driving vehicles. T...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B17/02G05B23/02G06F30/20
CPCG05B17/02G05B23/0213
Inventor 田欢马育林孙川郑四发李茹徐杰
Owner AUTOMOBILE RES INST OF TSINGHUA UNIV IN SUZHOU XIANGCHENG
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