Intelligent automobile virtual quick testing method

A technology of smart cars and testing methods, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as neglect

Active Publication Date: 2017-11-28
TONGJI UNIV
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For example, in the test, only a simple static traffic scene is generated by using the smart car's perception planning and decision-making module for testing, and the functions of combining the traffic simulation module to quickl

Method used

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  • Intelligent automobile virtual quick testing method
  • Intelligent automobile virtual quick testing method

Examples

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Embodiment 1

[0025] This embodiment uses the traffic simulation module Vissim and the smart car planning perception decision-making module PreScan to establish a virtual fast test environment for smart cars.

[0026] (1) In order to build a virtual test environment, first install the intelligent car environment perception planning decision-making module PreScan and the traffic simulation module Vissim on the Windows7 system computer. The Vissim module needs the driving simulator module license.

[0027] (2) After the installation is complete, in the PreScan module plug-in module, add a folder for storing Vissim imported information to store the read Vissim information; and when Vissim simulates, choose to start the Driving Simulator module to read PreScan's intelligence Vehicle Information.

[0028] (3) Set the vehicle type of the smart driving vehicle in PreScan and the number of Vissim vehicles displayed around the smart car.

[0029] (4) Create a new road network for testing smart cars in PreSc...

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Abstract

The invention relates to a quick virtual testing method of an intelligent automobile. The method includes that a virtual testing environment is provided by integrating an intelligent automobile environment sensing planning decision-making module and a traffic simulation module, the environment sensing planning decision-making module of the intelligent automobile can quickly generate sensor information of the intelligent automobile and environment information of trees and weather, and the traffic simulation module can quickly generate control measure information of common vehicles and roads around the intelligent automobile. Information interconnection between the intelligent automobile environment sensing planning decision-making module and the traffic simulation module can be realized by virtue of a Simulink module tool in Matlab so as to quickly generate a complete testing environment including information of the intelligent automobile, information of the common vehicles around the intelligent automobile, road control measure information and the environment information like the trees and the weather in the virtual testing environment. In the virtual environment, influence of running state features of the intelligent automobile in a traffic system and planning decision-making behaviors of the intelligent automobile on surrounding vehicles under different environment sensing equipment and different planning decision-making modules can be quickly tested.

Description

Technical field [0001] The present invention belongs to the technical field of smart car testing. More specifically, the present invention relates to a fast virtual test system for smart car to realize smart car environment perception module and planning decision module in a completely virtual test environment. Background technique [0002] At present, the test of the intelligence level of smart cars (or unmanned cars) is mainly completed through test site tests and actual vehicle road tests. However, the test site test is often a functional test in a simple traffic scenario for a bicycle in a fixed scenario. It is difficult to fully and truly reproduce the complex roads, traffic flow, and weather environment that the smart car may encounter on the road. Whether it is the core of safe and efficient driving in all weather and road network scenarios. The test environment of the real-vehicle road test is the most realistic, but the test scenario is uncontrollable and requires an ex...

Claims

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F30/20
Inventor 孙剑刘启远黄润涵叶颖俊
Owner TONGJI UNIV
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