GNSS Metadata for Independent Feature-Based Localization Maps
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Solution Overview
Problem
Existing methods fail to adequately maintain the independence of GNSS-based and feature-based localization paths during map creation, leading to potential system failures in automated driving applications.
Innovation Solution
A method is proposed that generates feature-based localization maps by incorporating GNSS-related meta-information, allowing for plausibility checking and trustworthiness assessment of localization results, and a localization device that assesses independence using GNSS-related meta-information to ensure reliable fusion of localization paths.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If GNSS data is used for feature map creation, then map generation efficiency is improved, but independence of localization paths deteriorates
Solution Approach 1:
The patent segments the localization system into distinct functional modules: a feature-based localization module that processes map data, a GNSS-based localization module that processes satellite signals, and an independence assessment module that evaluates their independence. This segmentation allows GNSS data to be used in map creation while maintaining independent verification capabilities through separate processing paths.
Solution Approach 2:
The patent introduces an independence assessment module as an intermediary that acts as a mediator between the feature-based and GNSS-based localization paths. This module receives data from both paths, compares their results, and assesses their independence, thereby maintaining reliability even when GNSS data is used in map generation.
2Reliability
If GNSS data is excluded from map creation, then independence of localization paths is maintained, but localization accuracy deteriorates
Solution Approach 1:
The patent merges multiple localization approaches by combining feature-based localization (using maps that may incorporate GNSS data) with GNSS-based localization. The system integrates results from both methods through a fusion module, achieving higher overall accuracy while the independence assessment module ensures that the combination does not compromise path independence.
Solution Approach 2:
The patent implements feedback mechanisms where the independence assessment module continuously monitors the relationship between feature-based and GNSS-based localization paths. When dependency is detected, the system adjusts its operation to maintain independence, and this feedback loop ensures that accuracy improvements from data integration do not compromise reliability.
3Reliability
If fusion of localization methods is implemented, then localization reliability is improved, but system complexity increases
Solution Approach 1:
The patent divides the complex fusion system into distinct, manageable modules: feature-based localization module, GNSS-based localization module, independence assessment module, and fusion module. Each module has a specific function, making the overall complex system easier to design, implement, and maintain while achieving improved localization reliability.
Data Source
AI summary
A method for generating a feature-based localization map for a global navigation satellite system (GNSS)-based localization and/or a feature-based localization includes generating feature information for the feature-based localization map using at least one GNSS information, generating GNSS-related meta-information that allows inferences to be drawn about a GNSS situation on which the generation of the feature information was based, and assigning the generated GNSS-related meta-information to the generated feature information.