Lidar-Based Unmanned Vehicle Testing for Accurate Road Performance Evaluation
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Solution Overview
Problem
Current vehicle testing is manual, consuming manpower and prone to incomplete and inaccurate test results, which hampers the assessment of vehicle performance and durability.
Innovation Solution
A method and device utilizing a laser radar to acquire point cloud data and vehicle motion information, determining road information and performance indicators, and calculating vehicle performance test results, enabling automated and comprehensive testing of unmanned vehicles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual driving mode is used for vehicle testing, then human judgment and flexibility are available, but manpower is consumed and test completeness and accuracy deteriorate
Solution Approach 1:
The patent replaces manual mechanical testing operations with an automated unmanned vehicle system controlled by a processor. The processor executes test programs to control vehicle motion, laser radar data acquisition, and automatic result analysis, eliminating the need for manual operation while improving test accuracy and completeness through systematic automated control.
Solution Approach 2:
The unmanned vehicle system performs self-testing by autonomously executing test programs, acquiring its own motion data and laser radar point cloud data, and automatically analyzing test results. The system serves itself by integrating data acquisition, processing, and evaluation functions into a single autonomous platform that requires no external human intervention during the testing process.
2Reliability
If manual driving mode is used for vehicle testing, then human flexibility is maintained, but test item incompletion and test inaccuracy occur
Solution Approach 1:
The patent implements preliminary action by pre-programming comprehensive test scenarios and parameters before testing begins. The processor executes predetermined test programs that systematically cover all required test items, ensuring test completeness. The laser radar and motion sensors are pre-configured to capture necessary data, and the test protocol is established in advance to guide the entire testing process.
Solution Approach 2:
The unmanned vehicle testing system maintains continuous useful action by automatically executing test programs without interruption. The processor continuously acquires motion information and laser radar point cloud data, processes them in real-time, and generates test results without the breaks or inconsistencies that occur in manual testing. This continuous automated operation improves both reliability and efficiency.
3Productivity
If automated unmanned vehicle testing is implemented, then manpower is saved and test accuracy improves, but system complexity increases
Solution Approach 1:
The unmanned vehicle system achieves universality by integrating multiple functions into a single platform: the processor controls vehicle motion, manages laser radar data acquisition, processes point cloud data, analyzes test results, and generates reports. This multi-functional integration reduces the need for separate manual operations and external equipment, improving productivity while managing complexity through consolidation.
Solution Approach 2:
The processor acts as an intermediary that coordinates between the vehicle control system, laser radar, motion sensors, and data analysis modules. By centralizing control and data processing in the processor, the system manages complexity through a single coordinating element rather than requiring direct integration of all components, enabling automated testing while maintaining system manageability.
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 automates vehicle testing, saving manpower and ensuring comprehensive and accurate assessments of vehicle performance and durability, replacing manual testing methods with unmanned vehicle testing based on laser radar technology.
Implementation Method 1
acquiring point cloud data collected by a laser radar
Data Source
AI summary
A lidar-based unmanned vehicle testing method, 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.