Automated Vehicle Safety Validation Using Trigger Event Correlations
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
It is challenging to comprehensively validate and define safety precautions for vehicles operating in partially or fully automated modes, especially in complex environments, due to the difficulty in listing all relevant triggering events and safety metrics that could lead to safety-critical situations.
Innovation Solution
A method involving the collection and analysis of operating data from vehicles, using sensors and safety metrics to identify correlations between triggering events and threshold values, allowing for the detection of new events and potential sensor errors, and enabling proactive safety measures by transmitting only relevant data to an evaluation system for further processing and mitigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If comprehensive validation of safety precautions is attempted by listing all triggering events and safety metrics, then safety coverage is improved, but system complexity and validation effort increase significantly
Solution Approach 1:
The patent implements a feedback mechanism where safety metrics are continuously monitored during vehicle operation, and triggering events are detected based on deviations from expected behavior. This feedback loop enables the system to identify safety issues dynamically without requiring exhaustive pre-definition of all possible failure modes, thus improving safety coverage while managing complexity.
Solution Approach 2:
The patent applies preliminary action by establishing a framework of safety metrics and triggering event definitions before deployment, but allows for iterative refinement through operational data. This approach enables the system to start with a manageable set of safety checks and progressively expand coverage based on real-world performance, balancing initial complexity with long-term safety improvement.
2Loss of information
If all operating data from vehicles are transmitted for evaluation, then completeness of safety analysis is improved, but data transmission costs and processing load increase
Solution Approach 1:
The patent extracts and transmits only the most relevant safety-critical data to the evaluation system, rather than transmitting all operating data. By identifying and prioritizing key safety metrics and triggering events, the system maintains analytical completeness while significantly reducing data transmission volume and associated costs.
Solution Approach 2:
The patent applies local quality by implementing different data transmission strategies for different vehicles and different data types based on their safety relevance. Critical safety data is transmitted with high priority and completeness, while less critical operational data may be transmitted with lower frequency or aggregated, optimizing the balance between data completeness and transmission costs.
3Measurement precision
If more triggering events and safety metrics are defined, then safety monitoring capability is improved, but difficulty in defining and maintaining the system increases
Solution Approach 1:
The patent implements a dynamic approach where the set of triggering events and safety metrics is not fixed but can be adapted and refined over time based on operational experience and emerging safety concerns. This dynamic framework allows the system to maintain high measurement precision for critical parameters while avoiding the burden of maintaining an exhaustive static list of all possible safety conditions.
Data Source
AI summary
A method for validating safety precautions for vehicles moving in an at least partially automated manner, based on triggering events and safety metrics. The method includes: receiving, from one or from each of a plurality of vehicles moving in an at least partially automated manner, operating data of the vehicle present and/or recorded at the time, regarding the triggering event and/or safety metric, if at the time in the vehicle, one or at least one of a plurality of triggering events associated therewith is met and/or one or at least one of a plurality of safety metrics associated therewith exceeds or falls below a threshold value; analyzing the received operating data, correlations of triggering events, occurring at more than a predetermined frequency, and/or safety metrics being determined with respect to static and/or dynamic vehicle data of the one or of the plurality of vehicles; and providing the determined correlations.