Sensor Data Segmentation for Moving Body Positioning
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Solution Overview
Problem
Positioning technologies using sensors on large moving bodies, such as ships or trains, face challenges due to noise interference from the moving body's motions, which affect the accuracy of sensor data and make it difficult to determine the user's position accurately.
Innovation Solution
An information processing apparatus and method that estimates the type of moving body a user is on using sensor data and selects appropriate information for processing to improve positioning accuracy, by correcting sensor data using measurements from the moving body and generating context maps to distinguish between user and body movements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensor data is used for positioning in a large moving body, then positioning function is provided, but positioning accuracy deteriorates due to noise from moving body motions
Solution Approach 1:
The sensor data is segmented into two components: motion of the moving body and motion of the user. By separating these components, the system can filter out the moving body's motion (noise) and retain only the user's motion data for positioning, thereby resolving the contradiction between providing positioning function and maintaining positioning accuracy.
Solution Approach 2:
The system introduces an intermediary processing mechanism that analyzes sensor data to distinguish between moving body motion and user motion. This intermediary layer processes the raw sensor data, identifies and removes noise from moving body motions, and outputs cleaned positioning data, thus improving measurement precision without losing the positioning function.
2Measurement precision
If sensor data from user and moving body are combined, then positioning function is enabled, but data processing complexity increases
Solution Approach 1:
The system extracts only the necessary component (user's motion) from the combined sensor data, discarding the unnecessary component (moving body's motion). This extraction approach simplifies data processing by focusing only on relevant information needed for positioning, rather than processing all combined data, thus reducing processing complexity while maintaining positioning accuracy.
Solution Approach 2:
The system performs preliminary analysis of sensor data to identify and separate moving body motion before using it for positioning. By preparing and filtering the data in advance, the system reduces the complexity of subsequent positioning calculations, as the noise has already been removed in the preliminary processing stage.
Data Source
AI summary
Provided is an information processing apparatus that includes an estimation unit that estimates, based on sensing data provided by a plurality of sensors carried or worn by a user, a type of a moving body on which the user is riding. The information processing apparatus further includes a selection unit that selects information to be used for processing for obtaining a position of the user in the moving body using the type of the moving body estimated by the estimation unit.