Image-Based Indoor Positioning Without Base Station Calibration
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Solution Overview
Problem
Indoor positioning using 5G base stations is hindered by severe signal obstructions and the difficulty in accurately measuring base station locations, which leads to large positioning errors and a high workload for calibration.
Innovation Solution
A method involving the acquisition of a reference image displaying a target and target reference objects, with position information determined in both the reference and pre-generated indoor images, allowing for accurate mapping and positioning without specialized devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional positioning devices (laser rangefinders, total stations) are used for base station calibration, then positioning accuracy can be improved, but device complexity and operational workload increase significantly
Solution Approach 1:
The patent uses image copying and processing techniques to create a digital reference image that replicates the physical indoor environment. By capturing images of reference objects and processing them into a reference image, the system creates a virtual model that can be matched with real-time images, eliminating the need for complex physical measurement devices while maintaining positioning accuracy
Solution Approach 2:
The patent replaces mechanical positioning devices (laser rangefinders, total stations) with an optical-computational system. Instead of using mechanical instruments requiring manual operation and calibration, the system uses image capture, processing, and matching algorithms to achieve positioning, thereby substituting mechanical systems with optical and computational approaches
2Measurement precision
If specialized positioning instruments are deployed for indoor positioning, then measurement precision improves, but ease of operation deteriorates due to required calibration and user expertise
Solution Approach 1:
The system performs automatic image processing and positioning calculations without requiring manual intervention or expert operation. The image processing unit automatically processes captured images, extracts features, matches them with the reference image, and calculates positioning information, making the system self-sufficient and easy to operate
Solution Approach 2:
The patent performs preliminary actions by pre-processing images to create a reference image before actual positioning is needed. This reference image contains pre-extracted features and spatial relationships that are prepared in advance, so when positioning is required, the system only needs to perform matching and calculation, greatly simplifying the operational process
3Reliability
If base station locations are frequently re-measured due to layout changes, then positioning reliability is maintained, but productivity decreases due to repeated calibration work
Solution Approach 1:
The system performs preliminary image processing and creates a reusable reference image that remains valid across different time periods. When layout changes occur, the system can efficiently update the reference image by re-processing images of changed areas while maintaining validity for unchanged areas, reducing the frequency and scope of re-calibration
Solution Approach 2:
The patent implements a dynamic positioning system where the reference image and positioning data can be efficiently updated when changes occur. Instead of complete re-measurement, the system allows for selective updates of changed areas, adapting to dynamic environmental changes while maintaining positioning reliability and improving productivity
Data Source
AI summary
A method for positioning, an electronic device, a storage medium and a program product. The method may include acquiring a reference image displaying both a target to be positioned and at least one target reference object, acquiring first position information about the target reference object within the reference image, and acquiring relative position information about the target to be positioned relative to the target reference object, in the reference image; acquiring second position information about the target reference object in a pre-generated indoor image; and determining target position information about the target to be positioned in the indoor image according to the first position information, the relative position information, and the second position information.