Multi-Method Measurement Integrity Selection for High Availability
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Solution Overview
Problem
Safety-critical systems, such as those for automated or autonomous driving, face challenges in maintaining high availability of measurement values while ensuring functional safety and low false-positive error rates, as existing methods often require redundant components and increased system costs.
Innovation Solution
A method that combines provisional measured values from multiple measurement methods, such as satellite-supported and landmark-based systems, to determine combined values with enhanced integrity, allowing for selective output based on integrity data and time requirements, thereby optimizing system availability and reducing false-positive errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple measuring methods are combined to increase availability of measured values, then system availability improves, but system complexity and cost increase
Solution Approach 1:
The system dynamically selects between combined measured values from multiple measuring methods and provisional measured values from a single measuring method based on real-time integrity assessments and time criteria. This dynamic selection mechanism allows the system to maintain high availability while avoiding the constant complexity of processing all multiple measuring methods simultaneously, thereby resolving the contradiction between reliability improvement and system complexity increase.
2Measurement precision
If multiple measuring methods are combined to reduce false-positive error rates, then measurement precision improves, but processing time and system complexity increase
Solution Approach 1:
The system performs preliminary integrity assessments on measured values from multiple measuring methods before combining them. By pre-evaluating the integrity of individual measured values against specified requirements and time criteria, the system can quickly determine whether combination is necessary, thereby reducing processing time while maintaining the precision benefits of multiple measuring methods for reducing false-positive error rates.
3Measurement precision
If combined measured values are always supplied for further processing, then measurement precision improves, but availability decreases when combined values do not meet requirements
Solution Approach 1:
The system introduces an intermediary selection mechanism that acts as a mediator between combined measured values and further processing. This intermediary assesses whether combined measured values meet integrity requirements and time criteria, and if not, it selects provisional measured values from individual measuring methods as alternatives. This intermediary layer ensures that further processing always receives valid measured values, maintaining both precision and availability.
Data Source
AI summary
A method for determining measured values using at least two different measuring methods involves, with each of the measuring methods, determining provisional measured values and suppling data for an integrity of the determined provisional measured values. The determined provisional measured values are merged to give combined measured values and information on the integrity of the combined measured values is determined. Depending on the data concerning the integrity of the determined provisional measured values and the combined measured values and depending on a period of time during which the determined provisional measured values and the combined measured values in each case meet specified requirements regarding their integrity, it is decided which of the measured values are supplied for further processing.