Article Position Estimation System Using Periodic Absolute Corrections
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Solution Overview
Problem
Current article position estimation methods, particularly relative movement amount estimation, suffer from high processing loads and power consumption, especially when continuous movement tracking is required, and often calculate unnecessary movement paths, wasting energy.
Innovation Solution
An article position estimation system that switches between absolute and relative position estimations based on need, using reference points to minimize processing and power consumption by only calculating the minimum movement history required for accurate article placement positioning, and employing both absolute position estimation based on reference point recognition and relative movement estimation based on movement history for high accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If relative movement amount estimation is performed continuously to maintain positioning accuracy, then measurement precision is improved, but use of energy increases due to high processing load
Solution Approach 1:
The system performs absolute position estimation periodically using captured images and feature extraction, rather than continuously calculating relative movement. The relative movement estimation is interrupted and restarted at periodic intervals when new images are acquired, reducing continuous processing load while maintaining positioning accuracy through periodic absolute position corrections.
2Measurement precision
If relative movement amount estimation is performed to track position changes, then measurement precision is improved, but processing load increases
Solution Approach 1:
The system alternates between relative movement estimation and periodic absolute position estimation. Absolute position estimation is performed at periodic intervals using image capture and feature extraction, while relative movement estimation is used between these intervals, reducing overall processing complexity while maintaining accuracy.
Solution Approach 2:
The system uses an intermediary approach by combining relative movement estimation (which provides continuous tracking with low processing load) and periodic absolute position estimation (which corrects drift and maintains accuracy). This hybrid approach acts as a mediator between the two methods, leveraging the strengths of each while mitigating their weaknesses.
3Measurement precision
If continuous image processing is performed for position estimation, then measurement precision is improved, but use of energy increases
Solution Approach 1:
Image capture and feature extraction for absolute position estimation are performed periodically rather than continuously. The system acquires images at specific intervals and performs feature extraction only at these periodic moments, reducing energy consumption associated with continuous image processing while maintaining positioning accuracy through periodic absolute position corrections.
Data Source
AI summary
Article position estimation system comprises: article movement recognition part; reference point recognition part; position information generation part; and article position estimation part. Article movement recognition part generates article movement information including time point when article is taken out by mobile body or time point when article placement is completed by mobile body. Reference point recognition part recognizes reference point and generates reference point recognition information including identification information according to recognized reference point, reference point recognition time point, and information related to recognized reference point. Position information generation part generates information related to position of mobile body at reference point recognition time point based on reference point recognition information. Article position estimation part estimates position of mobile body at the time when article is moved by using at least position of mobile body at reference point recognition time point.