Indoor Positioning via Camera-Lamp Coordinate Transformation
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Solution Overview
Problem
Existing indoor positioning technologies, such as laser radars, are costly and limited in positioning range, requiring specific scenes and high precision, which restricts their application in various indoor scenarios.
Innovation Solution
An indoor positioning system comprising N positioning lamps and M camera devices, where the camera devices capture images of the target and lamps at different angles, allowing a processor to determine the target's position using image analysis and coordinate transformation, providing high accuracy at a lower cost.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If laser radar is used for indoor positioning, then positioning precision is improved, but cost and device complexity increase
Solution Approach 1:
The patent uses camera devices to capture images of positioning lamps, creating a visual copy of the positioning information. Instead of using complex laser radars, the system captures 2D image data of known positioning lamp positions and transforms these visual copies into accurate 3D position coordinates through coordinate transformation algorithms, achieving high precision with simpler equipment
Solution Approach 2:
The patent replaces the mechanical/optical laser radar system with an imaging-based system using standard camera devices. The camera captures optical information of positioning lamps, and software algorithms perform coordinate transformations to calculate positions, substituting complex mechanical ranging devices with simpler optical capture and computational processing
2Measurement precision
If laser radar is used for indoor positioning, then positioning precision is improved, but application range is limited
Solution Approach 1:
The patent uses camera devices that can function in various indoor environments without requiring specific scene conditions. The system can operate in different room layouts, lighting conditions, and spatial configurations by adjusting camera positions and using multiple viewing angles, making it universally applicable across diverse indoor scenarios while maintaining positioning precision
Solution Approach 2:
The patent transitions from single-point laser ranging to multi-angle 3D spatial positioning by arranging cameras and positioning lamps in three-dimensional space. By capturing images from multiple camera positions and performing coordinate transformations across different reference frames, the system achieves accurate positioning in complex 3D indoor environments that single-dimensional laser methods cannot handle
3Measurement precision
If multiple camera devices are arranged at different positions, then positioning accuracy is improved, but device complexity increases
Solution Approach 1:
The patent divides the positioning task into multiple independent camera devices, each capturing images from its own position. Each camera independently records the positions of positioning lamps and target in its local coordinate system, and the system processes each camera's data separately through coordinate transformation before integrating results, breaking down the complex single-system problem into simpler parallel subsystems
Solution Approach 2:
The patent combines data from multiple camera devices through coordinate transformation and data fusion. Each camera's local coordinate measurements are transformed into a unified reference coordinate system, and the final position is determined by integrating information from all camera views, merging multiple simple measurements into a single accurate 3D position result
Data Source
AI summary
The present disclosure provides an indoor positioning system, which includes: N positioning lamps, M camera devices, and a processor, where N is a positive integer greater than 1 and M is a positive integer greater than or equal to 1. The N positioning lamps are arranged at different positions respectively in a room where a target to be positioned is located. The M camera devices are arranged at different positions in the room respectively, and are used for capturing a complete image of the room respectively at different angles and at the same time. The processor is configured to determine a position of the target to be positioned in the room according to the M images acquired by the M camera devices respectively at the same time.