Imaging Evaluation Map for Autonomous Inspection Planning
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Solution Overview
Problem
Current imaging techniques for inspecting structures, such as bridges and tunnels, require high skill to determine the appropriate device, position, and conditions for imaging, especially when using autonomous mobile robots like drones, making it difficult to easily plan and execute effective imaging operations.
Innovation Solution
An imaging apparatus and method that utilizes an imaging evaluation map to automatically select suitable imaging points and conditions by evaluating multiple candidate positions and conditions based on device and mobile device information, allowing for the generation of an optimal imaging plan.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual planning of imaging operations is performed by operators, then imaging quality can be controlled, but the complexity and skill requirement increase significantly
Solution Approach 1:
The imaging evaluation map system enables automatic selection of imaging points and conditions without requiring manual operator intervention. The system evaluates multiple candidate positions and conditions automatically, selecting optimal parameters based on pre-established evaluation criteria, thereby eliminating the need for high-skill manual planning while maintaining imaging quality
Solution Approach 2:
The system performs preliminary evaluation of multiple imaging candidate positions and conditions before actual imaging operations. By pre-calculating evaluation values for different positions and conditions and storing them in an imaging evaluation map, the system prepares optimal imaging parameters in advance, eliminating the need for complex real-time decision-making during operations
2Adaptability or versatility
If autonomous mobile robots are used for imaging, then operational flexibility increases, but the difficulty of determining movement routes and imaging plans increases
Solution Approach 1:
The imaging evaluation map serves as an intermediary between the autonomous mobile robot and the imaging objectives. It provides pre-evaluated candidate positions and conditions that guide the robot's movement and imaging operations, simplifying the control complexity while maintaining operational flexibility
Solution Approach 2:
The system changes the parameter representation from complex movement routes to discrete imaging candidate positions with evaluation values. By evaluating and storing optimal parameters (positions, imaging conditions) in advance in the imaging evaluation map, the system transforms complex route planning into simpler parameter selection, reducing operational difficulty
Data Source
AI summary
Provided are an imaging apparatus, an imaging method, an imaging program, and an imaging system capable of easily making an imaging plan. The imaging apparatus (100) includes an imaging evaluation map acquiring section (101) that acquires an imaging evaluation map, and an imaging point selecting section (102) that selects an imaging point suitable for imaging an object and an imaging condition at the imaging point on the basis of the acquired imaging evaluation map. In the imaging evaluation map, an evaluation value that represents an evaluation of imaging in a case where an object is imaged at a specific position under a specific imaging condition is set at a plurality of imaging candidate positions for each of a plurality of imaging conditions.