Camera Angle Visualization for Aerial Vehicle Flight Plans
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Solution Overview
Problem
Current flight software lacks an efficient method for visualizing and automatically adjusting camera angles for objects of interest during unmanned or manned aerial vehicle flights, making it difficult to effectively focus on and track targets with varying angles and paths.
Innovation Solution
A system that uses automatic drag and drop lines on a digital map to generate and adjust 'on' and 'off' points for camera angles, providing a semi-transparent visual cue of camera angle coverage, allowing real-time adaptation and calculation of flight and sensor plans for UAVs or MAVs to maintain focus on objects of interest.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual adjustment of camera angles and flight paths is used, then flexibility in observing objects of interest is improved, but operation complexity and time consumption increase
Solution Approach 1:
The system pre-calculates and stores multiple possible flight paths and camera angles before the actual observation mission. When an object of interest is selected, the system automatically retrieves and executes the pre-prepared observation parameters, eliminating the need for manual real-time adjustment while maintaining flexibility.
Solution Approach 2:
The system automatically determines the optimal camera angles and flight paths based on the selected object of interest, without requiring manual intervention. The observation parameters are self-adjusted based on the object's characteristics and pre-stored data, reducing operational complexity while maintaining adaptability.
2Measurement precision
If detailed manual configuration of observation parameters is performed, then observation precision is improved, but time consumption increases
Solution Approach 1:
The system pre-calculates precise observation parameters including camera angles, flight paths, and timing for various objects of interest before the mission. This preliminary preparation ensures high observation precision is achieved instantly during execution without time-consuming manual configuration.
Solution Approach 2:
The system stores pre-configured observation parameter sets for different object types. When an object is selected, the system copies and applies the corresponding pre-optimized parameters, ensuring precise observation without requiring time-consuming manual setup for each new target.
3Reliability
If comprehensive camera angle coverage is ensured, then observation completeness is improved, but system complexity increases
Solution Approach 1:
The system divides the observation task into discrete segments with pre-defined camera angles and flight path sections. Each segment covers a specific angular range, and the system automatically sequences these segments to achieve complete coverage without requiring complex real-time calculations.
Solution Approach 2:
The system uses dynamically adjustable camera angles and flight paths that are pre-calculated for different observation scenarios. The system automatically adapts the observation parameters based on the selected object, ensuring comprehensive coverage while maintaining manageable system complexity through automated adjustments.
Data Source
AI summary
Points of interest are added to a flight plan overlaid on a map. Camera switch-on and switch-off locations are automatically added to the nearest leg of the flight plan. An observation triangle joining the point of interest and the camera on and off locations is displayed so that the user can easily visualize the range of angles from which the point of interest is viewed. The triangle may be colored and/or partially transparent. Adjustment of the camera on and off locations is possible, with the system automatically adjusting the observation triangle. In a similar way, lines of interest and curves of interest may be added to the flight plan.