Target Identification System Error Compensation
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Solution Overview
Problem
Existing systems for identifying targets using mobile terminals with capturing and positioning functions suffer from significant measurement errors in position, orientation, and distance information, particularly when applied to densely distributed facilities like utility poles, leading to degraded identification accuracy.
Innovation Solution
A target identification system comprising a computer connected to a network and a mobile terminal with a capturing portion, position information acquisition, orientation information acquisition, and communication capabilities, which transmits image and positional data to a server for precise identification, accounting for measurement errors by calculating error ranges and verifying geographical validity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If position information, orientation information, and distance information are used to identify targets, then automatic identification capability is achieved, but measurement errors in these parameters degrade identification accuracy
Solution Approach 1:
The system calculates the distance between the captured target and each candidate target, then uses this distance information along with position and orientation data to compute a similarity score. This feedback mechanism allows the system to iteratively refine identification accuracy by comparing multiple parameters and selecting the candidate with the highest similarity, thereby compensating for individual measurement errors.
Solution Approach 2:
The patent transforms the identification problem from relying on single-parameter accuracy to using multi-parameter combination. By changing from direct position matching to distance-based similarity calculation, the system can tolerate individual parameter errors while maintaining overall identification accuracy through the combined evaluation of position, orientation, and distance information.
2Ease of operation
If GPS positioning and digital compass are used to acquire position and orientation information, then capturing function is enabled, but measurement errors in these parameters increase
Solution Approach 1:
The system introduces an intermediary calculation step that computes the distance between the captured target and candidate targets based on position and orientation information. This intermediary distance metric serves as a buffer that reduces the direct impact of measurement errors from GPS and digital compass, allowing the system to maintain ease of operation while improving robustness against measurement inaccuracies.
3Device complexity
If position information with measurement errors is used to identify densely distributed facilities, then identification process is simplified, but identification accuracy degrades significantly
Solution Approach 1:
The system performs partial verification by calculating distances to multiple candidate targets and selecting the one with the highest similarity score. Rather than requiring perfect position information, the system uses excessive candidate evaluation to ensure accurate identification of densely distributed facilities, maintaining a balance between process simplicity and identification accuracy.
Data Source
AI summary
A computer and a terminal apparatus retain position information about targets. The terminal apparatus includes: a capturing portion that captures an image of the target; a position information acquisition portion that acquires information about a position to capture the target; an orientation information acquisition portion that acquires information about an orientation to capture the target; and a communication portion that transmits the image, the position information, and the orientation information to the computer. The computer identifies at least one first target candidate as a candidate for the captured target from the targets based on the position information about the targets, the acquired position information, and the acquired orientation information. The computer identifies at least one second target candidate from at least the one first target candidate based on a distance from the terminal apparatus to the captured target.