Automated GNSS Localization via Shape Matching Coordinate Pairing
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Solution Overview
Problem
The manual process of selecting and pairing local and actual coordinates in geodetic applications is time-consuming and confusing, requiring users to specify and match coordinates from different systems, which hinders efficient localization.
Innovation Solution
An automated localization method that receives coordinates from multiple systems, evaluates their numerical values to determine the system, groups and pairs coordinates based on their systems, and uses a shape matching algorithm to convert coordinates from one system to another, simplifying the localization process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual coordinate pairing process is used, then localization accuracy can be achieved, but time consumption and operational complexity increase significantly
Solution Approach 1:
The system automatically performs coordinate pairing by evaluating numerical values and applying shape matching algorithms without requiring manual user intervention. The device itself serves to pair coordinates that would otherwise require manual pairing, thereby reducing time consumption while maintaining localization accuracy.
Solution Approach 2:
The system pre-processes coordinates by evaluating their numerical values to determine coordinate systems and grouping them before the actual localization operation. This preliminary organization of coordinates enables automatic pairing during localization, eliminating the need for manual pairing at the time of use.
2Measurement precision
If manual coordinate pairing process is used, then localization can be performed, but operational ease and user experience deteriorate
Solution Approach 1:
The system automatically performs coordinate pairing by evaluating numerical values and applying shape matching algorithms without requiring manual user intervention. The device itself serves to pair coordinates that would otherwise require manual pairing, thereby reducing time consumption while maintaining localization accuracy.
Solution Approach 2:
The manual mechanical process of selecting and pairing coordinates is replaced by an automated computational system that evaluates numerical values and applies shape matching algorithms. This substitution eliminates the need for manual manipulation of coordinate pairs while achieving the same localization function.
3Productivity
If automated localization method is implemented, then productivity and ease of operation improve, but device complexity increases
Solution Approach 1:
The automated localization process is segmented into distinct functional modules: coordinate reception, numerical value evaluation, coordinate system determination, grouping, shape matching algorithm application, and coordinate conversion. This segmentation manages complexity by organizing the automated process into manageable, independent components.
Solution Approach 2:
The system introduces intermediate processing steps including numerical value evaluation and shape matching algorithms that act as mediators between raw coordinate data and final localization results. These intermediaries automate the pairing process while managing the complexity of coordinate system transformations.
Data Source
AI summary
Systems and methods for performing automated localization are provided. In one example method, a plurality of coordinates representing positions of a plurality of locations may be received. The plurality of coordinates may be from two or more different coordinate systems. The numerical values of each of the plurality of coordinates may be evaluated to determine the coordinate system to which the coordinate belongs. The coordinates may be grouped into sets of coordinates based on their determined coordinate systems. Coordinates from one coordinate system may be paired with coordinates that represent the same locations from another coordinate system. A shape matching algorithm may be used to determine coordinates from different systems that represent the same locations. A localization process may then be used to convert the coordinates of the first coordinate system into coordinates of the second coordinate system based on the paired coordinates.