Pedestrian Positioning Device Corrects Error Accumulation
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Solution Overview
Problem
Pedestrian Dead Reckoning (PDR) systems face issues with measurement error accumulation, individual difference parameter estimation, and associating human figures in camera images with tracked individuals, making them impractical for accurate tracking.
Innovation Solution
A moving body positioning device that combines internal PDR data with external monitoring camera analysis to correct position measurements, estimate individual difference parameters, and associate human figures in images with tracked individuals by analyzing image data from a camera with a known floor surface relationship.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If PDR measurement is used for position tracking, then portability and continuous tracking are improved, but measurement error accumulates over time
Solution Approach 1:
The patent combines PDR measurement results with monitoring camera image analysis results to correct position information. The PDR provides continuous portable tracking while the camera provides periodic accurate position references, merging both systems to eliminate error accumulation without sacrificing portability.
Solution Approach 2:
The system uses camera-captured position information as feedback to correct and update the PDR accumulated position errors. The corrected position from image analysis is fed back to reset the PDR position estimate, preventing error accumulation while maintaining continuous tracking capability.
2Measurement precision
If individual difference parameters are estimated through calibration operations, then motion velocity estimation accuracy is improved, but system complexity and calibration time increase
Solution Approach 1:
The system automatically estimates individual difference parameters by comparing PDR sensor data with camera-based position information without requiring manual calibration operations. The system self-calibrates by using the camera as a reference to derive personalized motion parameters automatically.
Solution Approach 2:
The system performs individual difference parameter estimation automatically during normal operation using camera references, eliminating the need for separate preliminary calibration procedures. The calibration happens in advance of actual use without requiring user intervention.
3Duration of action of moving object
If human figure association is attempted using current techniques, then tracking continuity is improved, but association stability deteriorates
Solution Approach 1:
The patent replaces complex mechanical human figure association techniques with a simpler position-based collation method. Instead of analyzing human figure features and tracking them through images, the system substitutes this with comparing position and motion vector data between PDR and camera analysis, achieving more stable associations.
Solution Approach 2:
The system changes the association parameters from human figure feature matching to position and motion vector collation. By using positional coordinates and motion characteristics as association parameters instead of visual feature matching, the system achieves more reliable and stable tracking continuity.
Data Source
AI summary
A moving body positioning device includes a sensor group that outputs a motion velocity vector of a moving body, a motion velocity vector estimation processing device that measures a motion velocity vector and outputs an output sequence of the motion velocity vector together with a measured time, a monitoring camera, an image analysis processing device that analyzes the image of the monitoring camera to measure a position of feet of the moving body measures a motion velocity vector at the position of the feet, and outputs an output sequence of the motion velocity vector with a measured time, and a motion velocity vector collation processing device that collates the output sequence of the motion velocity vector estimation processing device with the output sequence of the image analysis processing device and outputs its collation result as a TRUE or a FALSE signal.