UAV Flight Control for Multi-Subject Distance Tracking
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Solution Overview
Problem
Unmanned aerial vehicles (UAVs) often capture images and videos without adjusting flight control settings to match the specific dynamics of the objects or performers being recorded, leading to suboptimal capture quality when multiple objects interact in space and time.
Innovation Solution
A system that adjusts UAV flight control based on the distances between the UAV and objects, using sensors and pattern recognition to maintain optimal positioning and capture settings for performers and performees, allowing for synchronized video capture of interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If preconfigured flight control settings are used, then the UAV can operate immediately, but the capture quality is suboptimal when multiple objects interact in space and time
Solution Approach 1:
The flight control settings are made dynamic by continuously adjusting them based on real-time detection of object distances and spatial relationships. The system transitions from static preconfigured settings to dynamic adaptive settings that automatically modify flight control parameters according to the captured scene characteristics.
Solution Approach 2:
The system implements feedback by using sensors to detect object distances and spatial relationships, then using this information to automatically adjust flight control settings. The detected scene characteristics feed back into the flight control system to optimize capture quality for interactions between multiple objects.
2Adaptability or versatility
If manual manipulation is used to adjust flight control settings, then individualized capture settings can be achieved, but the process is time-consuming and complex
Solution Approach 1:
The system performs self-service by automatically detecting object distances and spatial relationships using sensors, then autonomously adjusting flight control settings without requiring manual user configuration. The system serves itself by making intelligent adjustments based on real-time scene analysis.
Solution Approach 2:
The system changes flight control parameters automatically based on detected object distances and spatial relationships. Instead of manual parameter adjustment, the system dynamically modifies parameters such as altitude, speed, and positioning to achieve optimal capture settings for each specific scene.
3Productivity
If the UAV maintains fixed positioning, then flight stability is improved, but the UAV cannot adapt to capture coincident objects moving in space and time
Solution Approach 1:
The system resolves the stability-adaptability contradiction by making flight control dynamic. The UAV adjusts its positioning and flight parameters in real-time based on detected object distances and spatial relationships, allowing it to track and capture coincident objects while maintaining controlled stability through systematic adjustments.
Data Source
AI summary
A first pattern associated with a performer may be recognized based upon visual information. A sensor carried by an unmanned aerial vehicle may be configured to generate output signals conveying the visual information. A first distance may be determined between the first pattern and the unmanned aerial vehicle. A second pattern associated with a performee may be recognized based upon the visual information. A second distance may be determined between the second pattern and the unmanned aerial vehicle. Flight control may be adjusted based upon the first distance and the second distance. A flight control subsystem may be configured to provide the flight control for the unmanned aerial vehicle.