Lidar-Based Unmanned Vehicle Testing for Accurate Road Performance Evaluation
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Solution Overview
Problem
Current vehicle testing is conducted in a manual driving mode, leading to inefficiencies such as manpower consumption, incomplete test items, and inaccuracies.
Innovation Solution
A method and device for testing unmanned vehicles using a laser radar, which acquires point cloud data and vehicle motion information to determine performance indicators and test results based on preset motions and road information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual driving mode is used for vehicle testing, then test flexibility and human judgment are maintained, but manpower is consumed and test completeness and accuracy deteriorate
Solution Approach 1:
The testing system performs self-testing through autonomous unmanned vehicles that automatically execute test protocols, collect data, and generate reports without human operators during the test execution phase. The system serves itself by using AI-driven vehicles to conduct their own performance evaluations
Solution Approach 2:
Manual mechanical testing operations are replaced with automated electronic control systems. The testing control platform uses software algorithms to control unmanned vehicles, replacing human drivers with electronic automation systems that can execute tests more precisely and consistently
2Productivity
If manual driving mode is used for vehicle testing, then human adaptability is maintained, but test item completion and test accuracy deteriorate
Solution Approach 1:
The automated testing system enables continuous operation without human fatigue or interruption. Unmanned vehicles can perform repeated test cycles continuously, maintaining consistent performance throughout extended testing periods without breaks, thereby improving both productivity and test completeness
Solution Approach 2:
The system implements real-time feedback loops where sensors continuously monitor vehicle performance parameters, and the testing control platform automatically adjusts test protocols based on collected data. This closed-loop feedback ensures comprehensive data collection and complete test item execution
3Measurement precision
If automated unmanned testing is implemented, then manpower is saved and test accuracy is improved, but system complexity increases
Solution Approach 1:
The testing control platform is designed as a universal system that can manage multiple types of unmanned vehicles and conduct various test protocols through a single integrated platform. This multi-functionality reduces the need for separate specialized systems for different test types
Solution Approach 2:
The system introduces standardized communication interfaces and data protocols as intermediaries between different testing components. These standardization layers simplify the integration complexity by providing uniform communication methods between vehicles, sensors, and the control platform
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables comprehensive and accurate unmanned automatic testing of vehicles, saving manpower and ensuring the quality of vehicle performance and durability tests.
Implementation Method 1
acquiring point cloud data collected by a laser radar
Data Source
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AI summary
A lidar-based unmanned vehicle testing method and apparatus, the method comprising: acquiring vehicle movement information and point cloud data collected by lidar, the vehicle movement information comprising movement of the vehicle during the vehicle driving process; if the movement of the vehicle is a preset movement then, on the basis of the point cloud data and a map, acquiring road information of the test road on which the vehicle is located; on the basis of the preset movement and the road information, acquiring a performance index of the vehicle; and, on the basis of the vehicle movement information and the performance index, determining a vehicle performance test result. By means of replacing traditional manual vehicle test methods with the present unmanned vehicle test method and ensuring normal driving in the vehicle test by means of lidar, unmanned automatic vehicle testing can be implemented, saving labour and ensuring the completeness and accuracy of testing.