Position Estimation System Using Automatic Reference Image Updates
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Solution Overview
Problem
Existing position estimation systems based on images face challenges in accurately estimating positions when scenery changes, such as due to construction, as they require updating reference images using GPS, which is cumbersome.
Innovation Solution
A position estimation system that includes a reference image database, an acquisition unit, an estimation unit, and an update unit, allowing for the comparison and updating of reference images using user images to reflect current scenery without the need for explicit GPS positioning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If reference images are updated by capturing and positioning using GPS, then the reference image reflects current scenery, but the updating process requires a great deal of trouble
Solution Approach 1:
The system enables self-service by automatically updating reference images using user-submitted images and their associated position information. The server automatically processes incoming images, determines positions, and updates the reference image database without requiring manual GPS positioning operations, thus maintaining reliability while improving ease of operation
Solution Approach 2:
The system implements feedback by using user images to update reference images, which are then used in subsequent position estimations. This creates a continuous improvement loop where the system learns from user submissions and automatically refines its reference data, ensuring current scenery reflection without manual intervention
2Measurement precision
If reference images are updated frequently to reflect current scenery, then position estimation accuracy improves, but system complexity increases
Solution Approach 1:
The server acts as an intermediary that automatically manages the complexity of reference image updates. It receives user images, processes them to determine positions, compares them with existing reference images, and performs updates accordingly. This intermediary handles all computational and coordination complexity, keeping the system simple for end users while maintaining high precision through frequent automatic updates
3Measurement precision
If manual capturing and positioning is required to update reference images, then position data accuracy is ensured, but time consumption increases
Solution Approach 1:
The system replaces manual mechanical operations (GPS positioning, image capturing, data entry) with automated computational processes. The server automatically determines positions from user-submitted images using image recognition and database matching algorithms, eliminating the need for manual GPS operations while maintaining position data accuracy and significantly reducing update time
Data Source
AI summary
A position estimation system includes: a reference image database configured to store a reference image and information indicating a position in a state in which they are associated with each other; an acquisition unit configured to acquire an image for estimation which is a position estimation target; an estimation unit which performs comparison of the reference image with the image for estimation, estimate the position related to the image for estimation from the information indicating the position associated with the reference image, and calculate a reliability of the estimated position; and an update unit configured to update the reference image using the image for estimation on the basis of the reliability.