UAV Aerial Photography Path Generation by Object Shape
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Solution Overview
Problem
Existing aerial photography systems using unmanned aerial vehicles (UAVs) require manual test imaging to find optimal paths, which is time-consuming and inefficient, and struggle to determine the best imaging mode based on the shape and characteristics of the imaged object, often resulting in suboptimal aerial photography images.
Innovation Solution
An information processing device that segments the aerial photography range into areas based on object features, determines an appropriate imaging mode, and generates an optimal aerial photography path using pre-registered path shape samples and imaging mode information, allowing for automated path generation tailored to the imaged object's characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual test imaging is performed to find optimal aerial photography paths, then the quality of aerial photography images can be improved, but the time consumption and operational complexity increase significantly
Solution Approach 1:
The system pre-registers multiple path shape samples (e.g., circular, rectangular, triangular patterns) in advance within the control device. When aerial photography is needed, the system selects from these pre-prepared paths based on the imaged object characteristics, eliminating the need for time-consuming manual test imaging while ensuring optimal path selection for high-quality images
Solution Approach 2:
The system uses pre-defined path shape templates that can be copied and applied to different imaged objects. Instead of creating new paths through manual testing, the control device selects and applies appropriate path patterns from the pre-registered library, significantly reducing operational time while maintaining image quality
2Ease of operation
If universal fixed paths are used for aerial photography, then the ease of operation is improved, but the adaptability to different imaged object characteristics deteriorates
Solution Approach 1:
The system dynamically selects from multiple pre-registered path shapes based on the characteristics of the imaged object (such as circular objects using circular paths, rectangular objects using rectangular paths). This dynamic adaptation maintains ease of operation through automated selection while achieving high adaptability to different object types and shapes
Solution Approach 2:
The system applies different path shape characteristics matched to specific imaged object types. Each path shape is optimized for particular object geometries, allowing the system to maintain simple automated operation while achieving tailored adaptability to local object characteristics through intelligent path selection
3Adaptability or versatility
If multiple path shapes are pre-registered in the control device, then the adaptability to different imaged objects is improved, but the device complexity increases
Solution Approach 1:
The control device incorporates a universal path selection mechanism that handles multiple path shapes (circular, rectangular, triangular, and custom patterns) through a single integrated system. This multi-functional approach achieves high adaptability to different imaged objects while avoiding the complexity of separate dedicated systems for each path type
4Productivity
If automated path generation is implemented, then the productivity is improved, but the device complexity increases
Solution Approach 1:
The control device automatically determines the appropriate path shape based on imaged object characteristics without requiring external manual intervention. The system self-selects from pre-registered paths based on object type, achieving high productivity through automated decision-making while keeping the underlying complexity managed through pre-programmed selection logic
Data Source
AI summary
An information processing device includes a first acquisition member configured to obtain information relating to an aerial photography range for aerial photographing a first aerial photography image, a segmenting member configured to segment the aerial photography range into multiple areas based on a feature of each imaged object existing in the aerial photography range, and a determination member to determine a first imaging mode for aerial photographing the first aerial photography image based on the segmented areas. The information processing device also includes a second acquisition member configured to obtain information of more than one path shape based on information of more than one imaging mode, and information of path shapes representing shapes of more than one aerial photography path, and the first imaging mode. The information processing device further includes a generating member configured to generate the first aerial photography path based on the at least one path shape.