Intelligent automobile virtual quick testing method

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...

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 quickly provide the surrounding traffic flow scene, traffic management and control environment of the smart car are ignored , to test the planning and decision-making behavior of smart cars in a comprehensive traffic environment scene

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