UAV Aerial Photography Path Planning with Safe-Space View Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional methods for generating UAV photographing paths are labor-intensive and difficult to operate, especially for long-range aerial photography, as they require manual skilled input and simultaneous UAV and camera operation, making it challenging to maintain the UAV within the pilot's view, especially in large outdoor scenes.
Innovation Solution
A method that involves acquiring aerial photographing landmarks, determining safe UAV spaces, constructing a viewing angle quality scalar field, and generating an aerial photographing path set within the safe space based on this scalar field, allowing for automated path generation and reduced workload.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual skilled operation is used to generate UAV photographing paths, then the operator can control the UAV and camera, but the workload is large and the operation is difficult
Solution Approach 1:
The system performs self-service by automatically generating photographing paths using the constructed scalar field and algorithmic path planning, eliminating the need for manual skilled operation. The computer automatically calculates optimal paths based on landmark information and viewing angle requirements, making the system self-sufficient in path generation tasks.
Solution Approach 2:
The patent replaces manual mechanical operation with an automated computational system. Instead of human operators manually controlling UAV movement and camera positioning, the system uses computer algorithms to calculate and generate photographing paths, substituting mechanical human control with automated digital computation and control.
2Reliability
If manual operation is used for long range UAV photographing, then the operator can attempt to control the UAV, but it is almost impossible to maintain the UAV within the pilot's view
Solution Approach 1:
The system incorporates feedback mechanisms by continuously considering the relationship between UAV position, camera orientation, and landmark visibility when generating paths. The scalar field construction and path planning algorithm account for viewing angle constraints, ensuring that the generated paths maintain the UAV within observable ranges and optimize landmark visibility throughout the flight.
Solution Approach 2:
The system performs preliminary action by pre-calculating optimal photographing paths before UAV execution. The computer generates complete path plans in advance, considering all constraints including safety boundaries, viewing angles, and landmark positions, so that the UAV can autonomously follow the pre-planned path without requiring real-time manual intervention.
3Productivity
If automated path generation is implemented, then the workload is reduced, but the path quality and viewing angle optimization must be maintained
Solution Approach 1:
The patent applies parameter changes by constructing a scalar field that incorporates multiple parameters including viewing angles, distances to landmarks, and safety constraints. The path planning algorithm optimizes these parameters to generate high-quality photographing paths that balance productivity with path quality, ensuring optimal viewing angles while maintaining safety boundaries.
Solution Approach 2:
The system applies local quality by optimizing different segments of the photographing path according to local conditions. The scalar field construction evaluates viewing angle quality at different spatial locations, and the path planning algorithm selects routes that maximize local photographing quality at each segment, ensuring high overall path quality through localized optimization.
Data Source
AI summary
The present application relates to methods, apparatuses, computer devices, and storage mediums for generating an aerial photographing path for a UAV. A method according to an embodiment includes acquiring an inputted aerial photographing landmark; obtaining a UAV aerial photographing safe space according to the aerial photographing landmark; constructing a viewing angle quality scalar field of the aerial photographing landmark; and generating an aerial photographing path set in the UAV aerial photographing safe space according to the viewing angle quality scalar field.