Adaptive Mobile-Body Imaging Control Under Flight Disturbances
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Solution Overview
Problem
Existing image capturing systems, such as drones, struggle to adapt to disturbances like wind, obstacles, and backlight, necessitating re-capturing or manned intervention to achieve optimal conditions.
Innovation Solution
A control device that analyzes captured images in real-time to correct image-capturing conditions, including altitude, overlap, and speed, to ensure optimal image quality and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If image capturing is performed according to a preset plan, then the image capturing process can be automated and efficiency is improved, but the system cannot adapt to disturbances such as wind, obstacles, and backlight
Solution Approach 1:
The system captures images during flight, analyzes them in real-time to detect disturbances (wind, obstacles, backlight), and uses this feedback to dynamically adjust flight parameters and re-capture images as needed, transforming a static preset plan into an adaptive closed-loop control system
Solution Approach 2:
The image capturing plan transitions from a fixed preset configuration to a dynamic adaptive plan that automatically adjusts flight path, altitude, and capture timing based on real-time environmental conditions detected through image analysis
2Reliability
If manual monitoring is performed during image capturing to handle disturbances, then image quality can be maintained, but the complexity of operation increases and automation is reduced
Solution Approach 1:
The system performs self-monitoring through automated image analysis, automatically detecting disturbances and triggering re-capture operations without human intervention, enabling the drone to serve itself in maintaining image quality
3Reliability
If re-capturing is performed when disturbances occur, then image quality can be maintained, but the time required for image capturing increases
Solution Approach 1:
The system rapidly detects disturbances through real-time image analysis and immediately executes targeted re-capture operations only at affected locations, skipping unnecessary re-captures in unaffected areas to minimize time loss
Data Source
AI summary
Provided is a control device and method for enabling image capturing under optimum image-capturing conditions. A control section corrects preset image-capturing conditions on the basis of an analysis result of an image captured by an image capturing device included in a mobile body. A driving control section controls driving of the mobile body on the basis of the corrected image-capturing conditions. The present technique is applicable to a mobile-body control system that controls the mobile body.