Image-Based Location Estimation Using Auxiliary Information Selection
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Solution Overview
Problem
Conventional techniques face difficulties in uniquely estimating the captured location from a captured image, especially when the image lacks distinctive features like character strings that can be matched with map databases.
Innovation Solution
A measurement device equipped with an imaging unit, acquisition unit, output control unit, and input unit, which captures images and acquires auxiliary information candidates to assist in location estimation, using relative positions and angles, and outputs these candidates for user selection to refine the location estimation process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If only the captured image is used for location estimation, then the process is simple, but the location cannot be uniquely estimated when the image lacks distinctive features
Solution Approach 1:
The system pre-acquires auxiliary information candidates (such as map data, facility information, and reference images) before the actual location estimation process. When an image is captured, these pre-prepared auxiliary information candidates are quickly retrieved and presented to the user, eliminating the need for complex real-time processing and enabling precise location estimation even when the captured image lacks distinctive features.
2Measurement precision
If auxiliary information candidates are acquired and presented to users, then location estimation precision improves, but the operation process becomes more complex
Solution Approach 1:
The system captures user feedback regarding the auxiliary information candidates (such as user selections, corrections, or confirmations) and uses this feedback to refine the location estimation process. The feedback mechanism allows the system to learn from user interactions, improving accuracy while adapting to user preferences and behaviors, thereby maintaining ease of operation despite the enhanced precision requirements.
3Adaptability or versatility
If multiple auxiliary information candidates are presented, then the ability to handle images without unique features improves, but the time required for user selection increases
Solution Approach 1:
The system applies local quality by presenting different types of auxiliary information candidates tailored to the specific characteristics of the captured image and the suspected location. Rather than uniformly presenting all possible auxiliary information, the system selectively displays relevant candidates based on image analysis, reducing the number of options users need to evaluate while maintaining high adaptability for handling images without unique features.
Data Source
AI summary
A measurement device of an embodiment includes an imaging unit, an acquisition unit, an output control unit, and an input unit. The imaging unit captures a first image. The acquisition unit acquires auxiliary information candidates for assisting in estimating the captured location of the first image based on the first image. The output control unit outputs the auxiliary information candidates to an output unit. The input unit receives input to select auxiliary information from the auxiliary information candidates.