Moving Body Positioning via Multi-Camera Coordinate Transformation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The challenge lies in accurately determining real-space coordinates for a moving body using multiple imaging devices due to varying angles between the optical axis of each imaging device and the traveling plane, leading to errors in coordinate determination.
Innovation Solution
A positioning method and system that transforms intra-image coordinates into real-space coordinates using projective transformation parameters, calculated from associations between imaging device IDs and real-space coordinates, to ensure accurate coordinate alignment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If multiple imaging devices are used to capture images of a moving body, then the coverage area increases, but coordinate determination errors occur due to different angles between optical axes and traveling plane
Solution Approach 1:
The patent introduces an intermediary coordinate transformation process that mediates between the intra-image coordinates from multiple imaging devices and the real-space coordinates. By using transformation parameters (such as projective transformation or homography parameters) as intermediaries, the system can convert coordinates from different imaging devices into a unified real-space coordinate system, thereby resolving the coordinate determination errors caused by different optical axis angles while maintaining extended coverage area.
2Adaptability or versatility
If imaging devices are located at different positions with different angles, then positioning coverage is improved, but coordination of angles with respect to traveling plane becomes difficult
Solution Approach 1:
The patent transforms the angle coordination problem into a parameter transformation problem. Instead of physically coordinating the angles of multiple imaging devices with the traveling plane, the system uses coordinate transformation parameters (such as rotation matrices, translation vectors, or projective transformation parameters) to mathematically adjust for angular differences. This allows imaging devices to be positioned at various angles while maintaining accurate positioning through parameter-based coordinate system transformations.
3Reliability
If coordinates are determined by calculations from multiple imaging devices, then positioning capability is enhanced, but errors occur in coordinate determination
Solution Approach 1:
The patent implements a feedback mechanism where coordinate transformation parameters are continuously optimized based on the relationship between intra-image coordinates and real-space coordinates. By using measured coordinate data from multiple imaging devices to refine transformation parameters (through methods like least squares optimization or iterative closest point algorithms), the system reduces cumulative errors and improves coordinate determination accuracy while maintaining enhanced positioning capability.
Data Source
AI summary
A positioning method is configured to determine intra-image coordinates representing the position of a moving body in the captured image of a moving body while acquiring real-space coordinates representing the position of the moving body in real space. The intra-image coordinates of the moving body are transformed into the real-space coordinates of the moving body according to the association between the intra-image coordinates and the real-space coordinates.