Vehicle Controller Fault Validation Using Simulated Log Injection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Autonomous and semi-autonomous vehicle systems face challenges in detecting and mitigating faults in real-time, as existing simulation methods only assess performance differences without ensuring fault detection and mitigation capabilities within critical time thresholds.
Innovation Solution
An evaluation computing system introduces faults into vehicle controller logs, runs simulations to determine fault detection and mitigation times, and iteratively modifies log data to test various fault scenarios, validating components based on threshold compliance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing simulation methods are used to assess performance differences, then performance comparison between system versions is achieved, but fault detection and mitigation capabilities within critical time thresholds cannot be ensured
Solution Approach 1:
The patent applies preliminary action by introducing faults into log data before running simulations. The evaluation computing system proactively injects faults into historical log data associated with the vehicle controller, then executes simulations to observe how the controller responds to these introduced faults. This allows assessment of fault detection and mitigation capabilities before actual deployment, ensuring critical time threshold requirements are met while maintaining performance comparison accuracy.
2Reliability
If simulations are run to evaluate fault detection performance, then fault detection capability is validated, but additional computational time and resources are required
Solution Approach 1:
The patent applies copying by using historical log data as a foundation and creating modified copies with introduced faults. Instead of creating entirely new simulation scenarios, the system copies existing operational log data and injects faults into these copies. This approach validates fault detection capability while reducing computational time, as the base log data already represents real operational conditions and only requires fault injection and simulation execution rather than complete scenario generation.
3Productivity
If the vehicle controller is updated to optimize performance, then system performance is improved, but fault detection capabilities may be compromised
Solution Approach 1:
The patent applies feedback by establishing a closed-loop evaluation process. The evaluation computing system receives log data from the vehicle controller, introduces faults, runs simulations, and determines whether the controller detects and mitigates faults within specified time thresholds. This feedback mechanism validates that performance optimizations do not compromise fault detection capabilities, allowing confident deployment of updated systems while maintaining both performance and reliability.
Data Source
AI summary
An evaluation computing system may implement techniques to validate a vehicle controller, such as based on an update thereto. The evaluation computing system may access data associated with an operation of the vehicle in an environment as controlled by the controller. The evaluation computing system may modify a portion of the data representative of a fault associated with the controller. The evaluation computing system may run a simulation utilizing modified log data to determine whether the controller detects and/or mitigates the fault within a threshold time. Based on a determination that the controller does not detect and/or mitigate the fault within the threshold time, the evaluation computing system may determine an error associated with the controller. Based on a determination that the controller detects and/or mitigates the fault within the threshold time, the evaluation computing system may validate the controller.