Virtual Testing of Autonomous Driving Sensor and Actuator Faults
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Solution Overview
Problem
Existing methods for verifying driving assistance systems in motor vehicles fail to prevent erroneous output data from controlling actuator systems when sensors or actuators malfunction, leading to potential safety issues.
Innovation Solution
A computer-implemented method and system that simulate driving situation parameters, allowing for the monitoring and alteration of sensor and actuator data during virtual tests to simulate malfunctions, thereby focusing on meaningful error simulations and reducing repetitive tests.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional virtual test methods are used, then test execution is simple, but erroneous output data is generated when sensors malfunction
Solution Approach 1:
The patent applies preliminary action by introducing a monitoring step that checks driving situation parameters before the algorithm processes sensor data. This early detection mechanism identifies plausibility errors in sensor data before they propagate through the algorithm, preventing erroneous output data without requiring complex post-processing or retesting
Solution Approach 2:
The patent uses an intermediary approach by inserting a monitoring component between the sensor data input and the algorithm processing. This monitoring step acts as a mediator that validates driving situation parameters and prevents erroneous data from reaching the algorithm, thereby improving reliability without significantly increasing overall system complexity
2Reliability
If all possible sensor malfunctions are tested, then coverage is complete, but testing time increases significantly
Solution Approach 1:
The patent extracts and focuses testing on the most critical driving situation parameters that are most likely to reveal sensor malfunctions or algorithm errors. Rather than testing all possible parameter combinations, the monitoring step identifies and prioritizes relevant parameters, reducing testing time while maintaining effective coverage of safety-critical scenarios
Solution Approach 2:
The patent applies parameter changes by dynamically adjusting which driving situation parameters are monitored and tested based on the specific virtual test scenario. This adaptive approach allows the test system to focus computational resources on the most relevant parameters for each test case, improving test efficiency without compromising coverage of critical failure modes
Data Source
AI summary
A method and system for performing a virtual test of a device for the at least partial autonomous guidance of a motor vehicle, comprising performing the virtual test by an algorithm using the at least one parameter set of driving situation parameters, wherein the virtual test performed by the algorithm simulates the at least one parameter set of driving situation parameters; and, if a predetermined condition and/or a condition determined by the algorithm is fulfilled, changing the at least one first parameter, detected by the at least one vehicle sensor and/or a third parameter relating to a vehicle actuator during a runtime of the virtual test.