Autonomous Vehicle Simulation Severity for Noise and Delay Verification
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for verifying the safety and performance of autonomous vehicle algorithms lack comprehensive solutions, particularly in handling noise and delay inaccuracies in simulated environments, which are critical for reliable AI and Machine Learning-based systems.
Innovation Solution
A computerized method iteratively adjusts noise and delay parameters in a simulated environment to create a more severe simulation framework, allowing for statistical safety and functional performance verification of autonomous vehicle algorithms, ensuring robustness against modeling inaccuracies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing reliability and safety engineering tools are used for autonomous systems, then hardware and software verification can be performed, but comprehensive verification of AI and Machine Learning-based algorithms cannot be achieved
Solution Approach 1:
The patent transforms the verification approach by changing parameters from deterministic thresholds to statistical distributions. It models sensor noise, delays, and algorithm outputs as statistical variables rather than fixed values, enabling verification methods that are adaptable to the probabilistic nature of AI/ML algorithms while maintaining reliability through statistical confidence levels and hypothesis testing frameworks.
2Reliability
If statistical testing in simulated environment is implemented, then comprehensive algorithm verification can be achieved, but the complexity of the verification system increases
Solution Approach 1:
The patent creates a virtual copy of the autonomous system's operational environment through simulation. It replicates sensor behaviors, environmental conditions, and algorithm executions in a controlled virtual space, allowing comprehensive statistical testing without the complexity of real-world deployment. The simulation model serves as a simplified yet representative copy that captures essential system behaviors for verification purposes.
Solution Approach 2:
The verification system is segmented into distinct modular components: simulation environment module, statistical parameter generation module, hypothesis testing module, and result analysis module. This segmentation allows each component to be developed and validated independently, reducing overall system complexity while enabling comprehensive verification through coordinated operation of specialized subsystems.
3Reliability
If noise and delay parameters are increased in simulation to account for inaccuracies, then robustness of algorithm verification is improved, but the severity of simulation conditions increases
Solution Approach 1:
The patent applies partial action by introducing noise and delay parameters at appropriate levels that reflect real-world conditions without excessive amplification. It uses statistical distributions to model these parameters, applying just enough variability to test algorithm robustness while maintaining simulation conditions that remain plausible and relevant to actual operational environments.
Solution Approach 2:
The verification system incorporates beforehand cushioning by pre-modeling the effects of noise and delays in the simulation framework. It prepares statistical compensation mechanisms and robustness thresholds in advance, allowing the algorithm to be tested against anticipated inaccuracies without the simulation becoming excessively severe. The system cushions against potential failures by designing verification criteria that account for expected variations.
Data Source
AI summary
A computerized method of performing safety and functional verification of algorithms, for control of autonomous vehicles, comprises: iteratively performing an adjustment, the adjustment comprising at least one of the following: (i) updating the value of parameter(s) indicative of noise and/or delay in simulated sensor(s), associated with a computerized simulation framework corresponding to simulated autonomous vehicle(s) and to operational environment(s), by increasing noise and/or delay; and (ii) updating the value of parameter(s) indicative of noise and/or delay in a response of the simulated autonomous vehicle(s) to command(s), by increasing the noise and/or delay. This is done until obtaining from the computerized simulation framework an increased-severity computerized simulation framework. The increased-severity computerized simulation framework meets a criterion that can be utilized for statistical safety verification and/or statistical functional performance verification of the algorithm(s).