Autonomous Vehicle Test Route Planning with Logical Feature Constraints
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Solution Overview
Problem
Existing methods for generating routes for autonomous and partially autonomous vehicles do not incorporate test features necessary for validating driver assistance systems, such as traffic lights and speed limits, which are crucial for test drives.
Innovation Solution
A method that determines routes within a geographical area by setting logical relationships between test features like traffic lights, road signs, and speed limits, using a computational device and database with map material to ensure these features are encountered or avoided during the test drive, allowing for the validation of driver assistance systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If known methods for generating routes are used, then the routing function is provided, but test features necessary for validating driver assistance systems are not included
Solution Approach 1:
The route determination system is segmented into distinct functional modules: a route determination unit that generates routes based on start and end points, and a test feature verification unit that checks whether test features are included in the generated routes. This segmentation allows the system to maintain the original routing functionality while adding validation capabilities without requiring complete system redesign.
Solution Approach 2:
A test feature database is introduced as an intermediary component that stores information about test features (traffic lights, speed limits, road signs) at specific geographic locations. The verification unit queries this database to determine whether required test features are present on generated routes, enabling systematic validation without directly modifying the core routing algorithm.
2Reliability
If test features are systematically included in routes, then validation capability is improved, but the complexity of route determination increases
Solution Approach 1:
Test features and their geographic locations are pre-stored in a database before route generation. The verification unit performs preliminary checks by querying this pre-organized data structure to determine whether test features exist on candidate routes, avoiding the need for complex real-time analysis during route generation and reducing computational burden.
Solution Approach 2:
The system implements a feedback mechanism where the verification unit evaluates generated routes against test feature requirements and provides feedback to the route determination process. If test features are missing, the system can adjust route parameters or regenerate routes until validation requirements are satisfied, ensuring systematic inclusion of test features.
Data Source
AI summary
A method for determining routes for test drives of autonomous vehicles, wherein a plurality of test features are to be encountered or avoided on the routes. The method includes determining a geographical area in which a test drive is to take place, determining a starting point, determining a destination point, determining the plurality of test features, which are relevant for the test drive, creating a logical expression which places the plurality of test features in a logical relationship to one another, determining, at least one route which are located within the geographical area, which have the starting point and the destination point and which satisfy the logical expression, using a map material for the area and positions or areas where the plurality of test features are located, and displaying a representation of the determined routes for a user for the purpose of selecting a selected route.