Landmark Position Correlation for Precise Global Vehicle Localization
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Solution Overview
Problem
Standard satellite-supported positioning methods, such as GPS, often fail to provide the necessary precision for vehicle guidance, leading to jerky system behavior, and existing landmark mapping techniques rely on repeated measurements of individual landmarks with high uncertainty, lacking consideration for relative positions between landmarks.
Innovation Solution
A method and system that record multiple measurement data sets with overlapping recording spaces to determine relative positions of landmarks, using spatial correlation between landmarks to calculate their global position with high precision, incorporating relative positions and spatial arrangements as constraints in optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If satellite-supported positioning methods (GPS) are used for vehicle positioning, then the system is simple to implement, but the positioning precision is insufficient leading to jerky system behavior
Solution Approach 1:
The patent combines satellite positioning data with landmark-based relative positioning to create a hybrid positioning system. The satellite provides coarse global position while landmarks provide precise relative positioning, merging both methods to achieve high precision without sacrificing implementation simplicity
Solution Approach 2:
Landmarks serve as intermediary reference points between the vehicle and the final positioning goal. Instead of relying solely on satellite signals, the system uses detected landmarks as intermediate markers to calculate precise vehicle position through spatial correlation and optimization
2Measurement precision
If repeated measurements of individual landmarks are performed to improve positioning precision, then measurement precision increases, but measuring errors accumulate and uncertainty increases
Solution Approach 1:
The system employs optimization algorithms that use feedback from multiple measurement data sets to iteratively improve landmark position accuracy. By continuously comparing new measurements with existing data and adjusting positions to minimize errors, the system reduces uncertainty while maintaining high precision
Solution Approach 2:
The patent uses more measurement data than the minimum required by performing repeated observations of multiple landmarks. This excessive action of collecting redundant measurements allows for error compensation through optimization, improving reliability while maintaining precision
3Device complexity
If the position of the reference vehicle is assumed to be known with sufficient precision during mapping, then the mapping process is simplified, but uncertainties in landmark position determination cannot be compensated
Solution Approach 1:
The system changes the approach by not assuming fixed reference vehicle positions but instead treating them as parameters to be optimized. By varying and adjusting the reference positions along with landmark positions through curve fit calculations, the system achieves higher precision without significantly increasing mapping complexity
4Measurement precision
If curve fit calculation using method of least square is employed to compensate for uncertainties, then landmark positions are determined, but precision is still limited by individual measurement uncertainties
Solution Approach 1:
The patent merges multiple measurement data sets with overlapping recording spaces to determine landmark positions. By combining information from multiple observations and using spatial correlation between landmarks, the system achieves higher reliability and precision beyond what individual curve fit calculations can provide
Data Source
AI summary
A method for determining a global position of a first landmark is provided, wherein at least one first and one second measurement data set are recorded. A first reference point and a first recording space are assigned to the first measurement data set, and a second reference point and a second recording space are assigned to the second measurement data set. A spatial correlation of the first and second landmark relative to each other is determined using the first measurement data set. The global position of the first landmark relative to a global reference point is determined by determining a first and second relative position of the first landmark, by determining a first relative position of the second landmark, and by using the determined spatial correlation.