Virtual Test Configuration for Automated Driving
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Solution Overview
Problem
Existing methods for creating test scenarios for virtual testing of automated driving functions require high-dimensional configuration and result in high arithmetic effort, making it difficult to identify relevant parameter combinations that significantly influence target variables.
Innovation Solution
A computer-implemented procedure for criteria-based creation of a virtual test configuration that defines dependencies between configuration parameters and target variables, determines test algorithms and parameter intervals, and sets application conditions to focus on parameter combinations with significant influence on target variables.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If full-dimensional parameterization of logical scenarios is used to best cover the parameter space, then the coverage of parameter space is improved, but the computational effort increases significantly
Solution Approach 1:
The patent segments the monolithic ITC configuration into multiple partial ITC configurations, each handling a subset of parameter variations. This division allows the parameter space to be covered comprehensively while reducing the computational burden on any single configuration, as each partial configuration processes only a portion of the total parameter combinations.
2Reliability
If the configuration step requires users to define all relevant parameters and KPIs manually, then the completeness of test configuration is improved, but the complexity of the configuration process increases
Solution Approach 1:
The system automatically generates partial ITC configurations based on predefined templates and available test data, reducing the manual effort required from users. The configuration process performs self-service by automatically identifying relevant parameters, setting appropriate KPIs, and creating multiple partial configurations without requiring exhaustive manual specification by the user.
3Adaptability or versatility
If traditional ITC methods are used without criteria-based filtering, then all parameter variations are tested, but the difficulty of evaluating results increases
Solution Approach 1:
The patent extracts and isolates specific parameter combinations that have a defined influence on target variables by applying criteria-based filtering. This extraction process separates relevant parameter variations from the complete parameter space, allowing focused evaluation on only those combinations that matter for the automated driving function being tested, thereby reducing result evaluation difficulty.
Data Source
Figure 1~2
AI summary
The invention relates to a computer-implemented method for criteria-based creation of a configuration (10) of a virtual test (VT) for testing automated driving functions of a vehicle, comprising the steps of defining (S1) a dependency of configuration parameters (12a, 12b) on target variables (14) of the virtual test (VT), determining (S2) a test algorithm (A) and/or parameter intervals (16) for the respective target variable (14), and defining (S3) an application condition (18) of the configuration parameters (12a, 12b), the parameter intervals (16), and/or the test algorithm (A). Furthermore, the invention relates to a system for criteria-based creation of a configuration (10) of a virtual test (VT) for testing automated driving functions of a vehicle.