Indoor Position Detection Using Shape and ID Association
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Solution Overview
Problem
Existing position detection techniques in indoor spaces fail to accurately detect the size and identification information of target objects, limiting their use in navigation and load-carrying applications, as they either rely on estimating positions through electromagnetic wave intensity or obtaining three-dimensional shapes without identification information.
Innovation Solution
A position detecting system that includes a target object shape extracting part to acquire three-dimensional shapes, an identification information acquisition part to obtain identification information from notifications, and an identification information associating part to link the shape with the identification information, using three-dimensional measurement devices and beacon transmitters to accurately position and identify target objects in indoor spaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If electromagnetic wave intensity estimation is used for position detection, then the system can estimate positions of moving target objects, but the position detection accuracy deteriorates and identification information cannot be acquired
Solution Approach 1:
The system segments the detection process into two independent parts: (1) position estimation using electromagnetic wave intensity from beacons, and (2) accurate position and shape measurement using three-dimensional measurement devices when the target is stationary. This segmentation allows the system to leverage the advantages of both methods while mitigating their individual weaknesses.
Solution Approach 2:
The system introduces an intermediary association mechanism that links identification information (acquired when the target is stationary) with the estimated position (obtained when the target is moving). This intermediary association table serves as a bridge between the two detection modes, allowing accurate identification and shape information to be attached to dynamically estimated positions.
2Measurement precision
If three-dimensional measurement devices are used, then accurate position and shape detection is achieved, but identification information of target objects cannot be acquired
Solution Approach 1:
The system performs preliminary acquisition of identification information when the target object is stationary and can be clearly identified. This preliminary action captures the identification information in advance, before the target begins moving, ensuring that the information is preserved even when the target later moves to positions where three-dimensional measurement devices cannot operate.
Solution Approach 2:
The system introduces an intermediary association mechanism that links identification information (acquired when the target is stationary) with the estimated position (obtained when the target is moving). This intermediary association table serves as a bridge between the two detection modes, allowing accurate identification and shape information to be attached to dynamically estimated positions.
3Adaptability or versatility
If only position estimation techniques are used, then the system can track moving target objects, but the size and attributes of target objects cannot be determined
Solution Approach 1:
The system performs preliminary acquisition of identification information when the target object is stationary and can be clearly identified. This preliminary action captures the identification information in advance, before the target begins moving, ensuring that the information is preserved even when the target later moves to positions where three-dimensional measurement devices cannot operate.
Solution Approach 2:
The system introduces an intermediary association mechanism that links identification information (acquired when the target is stationary) with the estimated position (obtained when the target is moving). This intermediary association table serves as a bridge between the two detection modes, allowing accurate identification and shape information to be attached to dynamically estimated positions.
Data Source
AI summary
This position detecting system is provided with: a target object shape extracting part which extracts a target object as a target object shape from a three-dimensional shape in an indoor space, and acquires a position of the target object shape; an identification information acquisition part which acquires, on the basis of data reported from the target object, target object identification information for identifying the target object; and an identification information associating part which associates the target object shape with the target object identification information.


