Pedestrian Navigation Using 3D Position Projection
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Solution Overview
Problem
Existing pedestrian navigation systems fail to accurately provide step distance and orientation information, leading to significant errors in dead reckoning mode without external correction data.
Innovation Solution
A method and apparatus that determine the motion of a pedestrian by calculating the position of identified body portions, projecting these positions onto planes, and deriving motion from the projected data to accurately measure step distance and orientation using wearable sensors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If wearable sensor means are used to determine step distance and orientation information, then navigation accuracy is improved, but device complexity increases
Solution Approach 1:
The system divides the pedestrian's body into multiple identified portions (feet, legs, torso) and places sensors on different segments. Each sensor measures local motion, and the processing unit integrates these segmented measurements to calculate overall step distance and orientation, improving accuracy while distributing system complexity across multiple simple sensor units
Solution Approach 2:
The system uses three-dimensional position data from wearable sensors and projects it onto two-dimensional planes (horizontal and vertical) to derive motion parameters. This dimensional transformation allows accurate measurement of step distance and orientation by analyzing position changes in multiple dimensions and projecting them onto relevant planes for calculation
2Measurement precision
If three-dimensional position data is processed through projection onto planes, then motion derivation accuracy is improved, but computational complexity increases
Solution Approach 1:
The system transforms three-dimensional position data from wearable sensors into two-dimensional projections on horizontal and vertical planes. By projecting 3D coordinates (x, y, z) onto 2D planes, the system simplifies the derivation of motion parameters while maintaining accuracy through geometric projection relationships
Solution Approach 2:
The computational process is segmented into distinct steps: first determining 3D positions of body portions, then projecting these positions onto separate horizontal and vertical planes, and finally deriving motion parameters from the projected data. This segmentation of the calculation process makes the complex computation more manageable and efficient
Data Source
AI summary
The motion of a pedestrian is evaluated by determining at least one position of at least one identified portion of the pedestrian, projecting the positions(s) on at least one plane, and deriving the motion from the position(s) projected on the at least one plane. Typically the position(s) are determined in three-dimensions, e.g. of the feet. It is possible to project on two different planes to provide three-dimensional navigation information.