Autonomous Vehicle Positioning Integrity Range and Validity Indicator
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Solution Overview
Problem
Existing methods for determining the self-position of autonomous vehicles are not reliable in challenging environments like urban areas due to interference from street canyons and satellite signal issues, which are not addressed by aerospace solutions.
Innovation Solution
A method that identifies an integrity range and a validity indicator for parametric estimation, providing information on the reliability of self-position estimation, using sensor data and statistical confidence information to enrich the integrity range without altering its design, and combining various pieces of information to calculate the validity indicator.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If aerospace-based protection level methods are used for autonomous vehicle positioning, then the mathematical framework for integrity range is established, but the reliability deteriorates in urban environments due to street canyon effects and satellite signal interference
Solution Approach 1:
The solution segments the integrity information into two distinct components: the integrity range (mathematical confidence interval) and the validity indicator (environmental trustworthiness assessment). This segmentation allows the system to maintain the mathematical integrity framework while adding environmental adaptability through the separate validity assessment that specifically addresses urban challenges like street canyons
Solution Approach 2:
The validity indicator serves as an intermediary between the mathematical integrity range and the actual environmental conditions. It mediates by assessing whether the integrity range is trustworthy in the current environment (e.g., urban street canyons) without altering the integrity range calculation itself, thus bridging the gap between theoretical mathematical framework and practical environmental adaptability
2Reliability
If additional environmental information is integrated to improve validity assessment, then the reliability in challenging environments improves, but the device complexity increases
Solution Approach 1:
The solution changes parameters by introducing a discrete validity indicator with defined states (fully valid, partially valid, not valid) rather than continuous assessment. This parameter transformation simplifies the complexity by converting complex environmental assessments into standardized validity levels that can be systematically evaluated against predefined criteria
Solution Approach 2:
The system applies local quality by assessing validity specifically for the current operational context (urban vs. rural, presence of street canyons, satellite visibility) rather than using a uniform assessment approach. This allows the complexity to be focused only where needed - evaluating environmental factors relevant to the specific location and conditions
Data Source
AI summary
The disclosure relates to a method for providing information on the reliability of a parametric estimation of a parameter for the operation of a vehicle, comprising at least the following steps:a) identifying an integrity range for the parametric estimation, the integrity range describing the range in which an estimated parameter is located with a minimum probability,b) identifying a validity indicator which describes the validity of the integrity range identified in step a),c) providing the integrity range identified in step a) and the validity indicator identified in step b).