Unmanned Vehicle Coping Boundary Analysis for Scenario Testing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for evaluating unmanned vehicles are general and lack accuracy, making it difficult to determine specific performance defects and improvement directions, resulting in low precision and relevance in testing.
Innovation Solution
A method and apparatus that determine coping capability boundary information by obtaining a set of indicator combinations, processing historical driving behavior information using autonomous driving simulation algorithms, and analyzing simulated and real coping results to identify performance defects and improve test accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If general evaluation methods are used for unmanned vehicles, then the evaluation process is simple, but the measurement precision and reliability are low
Solution Approach 1:
The evaluation system segments the overall coping capability into multiple indicator combinations, each targeting specific performance dimensions. The boundary information determination module divides the evaluation into discrete boundary value calculations for different indicators, enabling precise measurement without requiring a completely complex system redesign.
Solution Approach 2:
The system changes evaluation parameters by determining boundary values for specific indicators under different driving scenarios. By calculating coping capability boundaries at different parameter levels (indicators, indicator combinations, scenarios), the system achieves high measurement precision through parameterized evaluation rather than generic assessment.
2Productivity
If general evaluation methods are used for unmanned vehicles, then the testing process is simple, but the relevance and productivity are low
Solution Approach 1:
The system performs preliminary action by pre-defining multiple indicator combinations tailored to different driving scenarios before actual testing. The boundary information determination module pre-calculates coping capability boundaries for various indicators, enabling efficient and relevant testing without ad-hoc complexity during execution.
Solution Approach 2:
The evaluation system achieves universality by using a unified boundary information determination framework that works across multiple driving scenarios and indicator types. This multi-functional approach improves productivity by eliminating the need for separate evaluation methods for different test cases, while the modular indicator combination structure prevents excessive complexity.
3Measurement precision
If detailed performance evaluation is conducted, then the measurement precision improves, but the loss of time increases
Solution Approach 1:
The system extracts and evaluates only the critical boundary information for each indicator combination relevant to specific driving scenarios. By taking out only the essential coping capability boundaries needed for performance defect identification rather than进行全面 detailed testing, the system achieves high measurement precision with reduced time loss.
Data Source
Figure 1
Figure 2~3
Figure 4
AI summary
The invention provides a method and an apparatus for determining coping capability boundary information of an unmanned vehicle and an electronic device. A set of indicator combination for evaluating a coping capability of an unmanned vehicle to be tested in a preset driving scenario is obtained, where the indicator combination includes at least one indicator item and an expected value range of the indicator item; historical driving behavior information of the unmanned vehicle to be tested is obtained according to a scenario feature corresponding to the preset driving scenario and the indicator item; and coping capability boundary information corresponding to the indicator combination of the unmanned vehicle to be tested in the preset driving scenario is obtained according to the historical driving behavior information, which realizes the coping capability boundary of the unmanned vehicle corresponding to the indicator combination that need to be tested, and can flexibly find the performance defects of the unmanned vehicle, thereby improving the accuracy and pertinence of the unmanned vehicle test.