Autonomous Vehicle Test Data Association System
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Solution Overview
Problem
Current methods for testing autonomous vehicle computing systems lack efficiency in managing and associating test data with corresponding scenarios and capabilities, leading to increased computational resources and manual effort.
Innovation Solution
A computer-implemented method and system that obtain, determine, and associate data indicative of autonomous vehicle tests with corresponding testing scenarios and capabilities, using real-world data to generate scenarios and store data in an accessible memory for efficient retrieval.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual data retrieval and processing methods are used for autonomous vehicle testing, then testing can be performed, but computational resources and manual effort increase significantly
Solution Approach 1:
The system enables self-service by having the computing system automatically determine tested capabilities and generate testing scenarios without manual intervention. The system autonomously associates test data with capabilities and scenarios, and stores them in accessible memory, eliminating the need for manual data retrieval and processing while maintaining comprehensive testing coverage
Solution Approach 2:
The patent replaces manual mechanical processes with automated computational systems. Instead of manual data retrieval and processing, the system uses computing algorithms to automatically determine capabilities, generate scenarios from real-world data, associate test data, and store information in accessible memory, thereby reducing computational resource consumption and manual effort
2Ease of operation
If test data is not systematically associated with scenarios and capabilities, then data can be stored, but retrieval and processing become more difficult
Solution Approach 1:
The system segments data management by separating test data, capability data, and scenario data into distinct but associated records. Each test is linked to specific capabilities and scenarios through structured relationships in accessible memory, allowing efficient retrieval of related information without requiring complex manual search processes
Solution Approach 2:
The patent introduces testing scenarios as intermediary elements that bridge test data and capabilities. Scenarios serve as mediators that organize and connect disparate data elements, making the system easier to operate by providing a structured framework for data association and retrieval while maintaining manageable complexity through automated processing
Data Source
AI summary
Systems and methods for autonomous vehicle testing are provided. In one example embodiment, a computer-implemented method includes obtaining, by a computing system, data indicative of a test of an autonomous vehicle computing system. The method can include determining, by the computing system, one or more autonomous vehicle capabilities that are tested by the test. The method includes determining, by the computing system, a testing scenario that corresponds to the test. The testing scenario can generated at least in part using real-world data. The method includes associating, by the computing system, the data indicative of the test with data indicative of the one or more autonomous vehicle capabilities that are tested by the test and data indicative of the testing scenario. The method includes storing such associated data in in an accessible memory.