Road running and virtual test parallel mapping experiment method of intelligent automobiles

A smart car and virtual testing technology, which is applied in vehicle testing, electrical testing/monitoring, testing/monitoring control systems, etc., can solve problems such as the inability to guarantee the authenticity of test scenarios, difficult complex environments for smart cars, and high traffic safety risks , to achieve the effect of improving test efficiency, safety evaluation, comprehensive reliability, and safety guarantee

Active Publication Date: 2018-09-18
TONGJI UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In addition, public road testing has high traffic safety risks and is difficult to carry out on a large scale due to factors such as laws and policies
The proving ground test is often a functional test of a single vehicle under a simple traffic scene in a fixed scene

Method used

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  • Road running and virtual test parallel mapping experiment method of intelligent automobiles
  • Road running and virtual test parallel mapping experiment method of intelligent automobiles
  • Road running and virtual test parallel mapping experiment method of intelligent automobiles

Examples

Experimental program
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Example Embodiment

[0032] Example 1

[0033] The implementation location of this embodiment is Shanghai. The data obtained by multiple drivers driving smart cars equipped with automatic driving on actual roads in Shanghai are compared with the actual trajectory and the planned trajectory to search for scenes with significant differences. Conducting parallel mapping experiments to evaluate the safety of smart cars, including the following detailed steps:

[0034] (1) Collect the driving trajectory, perception information and planning driving trajectory of the vehicle:

[0035] Collect the driving trajectory of the driver on the actual road in Shanghai, including the vehicle position coordinate, speed, steering angle and other information. Collect smart car perception information, including location information of surrounding obstacles, lane information, etc. Collect the planned driving trajectory given by the smart car through the perception module and the planning decision module, including the plann...

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Abstract

The invention relates to a road running and virtual test parallel mapping experiment method of intelligent automobiles. The objectives of the invention are to improve efficiency and safety of intelligent automobile test. The method comprises steps of firstly acquiring track data of an automobile driven by a driver, interception data of an automatic driving system and planed track data (wherein theintelligent automobile fails to execute the planed track at this moment); then comparing an actual track and the planned track, and searching whether there is a remarkably different scene between thetwo tracks; and then, through the interception information of the intelligent automobile, reconstructing the scene, carrying scene replaying and simulating prediction, calculating safety of the two tracks and evaluating the safety of the tracks. According to the invention, there is no need to use an automatic driving system to control the automobile; and as long as the intelligent automobile runson a road (i.e., a driver is operating the automobile), the test and the experiment can be carried out. Thus, test efficiency can be improved and safety of the test can be ensured.

Description

technical field [0001] The invention belongs to the technical field of smart car testing, and more specifically, the invention relates to a process of searching for a scene where there is a difference between the planned route of the smart car and the driving route of the driver when the driver drives the smart car autonomously on an actual road , and build the same scene in the virtual environment, and carry out scene playback and simulation test, so as to realize the system of testing and evaluating the driving safety of smart cars. Background technique [0002] With the development of science and technology, smart cars based on autonomous driving technology have shown great development potential in improving traffic safety and preventing traffic congestion, which is the direction of the development of the automotive industry and traffic operations. [0003] The automatic driving system of a smart car consists of three modules: environment perception, planning decision-mak...

Claims

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Application Information

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IPC IPC(8): G05B23/02G01M17/007
CPCG01M17/007G05B23/0243G05B2219/24065
Inventor 孙剑徐一鸣余荣杰
Owner TONGJI UNIV
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