Wireless Position Detection Using Coverage Map Segmentation
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Solution Overview
Problem
Existing wireless position detection systems face accuracy issues when feature points are absent or not properly spaced, leading to degraded position matching accuracy in certain environmental conditions.
Innovation Solution
A wireless position detection apparatus and storage medium that utilize a coverage map with auxiliary points and map objects to generate a positioning locus, allowing for high-accuracy position detection by correlating real-time signal reception states with moving distances and comparing them to pre-prepared coverage maps to determine the current position of a moving object.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If map matching is performed using feature points on coverage maps, then position detection can be implemented, but accuracy degrades when feature points are absent or not properly spaced
Solution Approach 1:
The patent segments the coverage map by dividing it into multiple sections based on map objects (buildings, roads, intersections) and generates multiple candidate positioning loci for each section. This segmentation allows the system to perform localized matching in each section and select the best match, improving accuracy in environments without traditional feature points.
Solution Approach 2:
The patent introduces map objects (buildings, roads, intersections) as intermediary elements between the receiver and the positioning system. These map objects serve as reference points for generating candidate positioning loci, enabling position detection even when traditional feature points are absent. The map objects mediate the matching process by providing structural references for locus generation.
2Measurement precision
If coverage maps are prepared with auxiliary points and map objects, then position matching accuracy improves, but data processing complexity increases
Solution Approach 1:
The patent segments the coverage map into multiple sections based on map objects, with each section having its own candidate positioning loci. This segmentation divides the complex processing task into smaller, manageable sections that can be processed independently and then combined, reducing overall processing complexity while maintaining high accuracy.
Solution Approach 2:
The patent generates multiple candidate positioning loci for each map object section, which is more than the single locus approach. This excessive action provides redundancy that improves accuracy through selection, while the modular section-based structure keeps processing manageable by limiting the number of candidates that need to be evaluated in each local section.
Data Source
AI summary
A wireless position detection apparatus specifies, on a road, a target point corresponding to a current position correspondence point of a moving object and calculates a positioning coordinate of the target point as current position information of the moving object based on (i) position information of the current position correspondence point of the moving object on the coverage map, (ii) the position information of the auxiliary points positioned immediately prior to and immediately posterior to the current position correspondence point on the coverage, and (iii) the position data of the map objects corresponding to the auxiliary points positioned immediately prior to and immediately posterior to the current position correspondence point on the coverage map.