UAV Flight Path Control Around High-Density Object Areas
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Solution Overview
Problem
Existing unmanned aerial vehicle (UAV) systems need to make significant detours to avoid high-density areas of objects, leading to increased flight times and inefficiencies.
Innovation Solution
A UAV system that acquires and adjusts its flight plan to circumvent high-density areas by changing its route based on object density thresholds, using sensors to detect and analyze object movement, and requesting alternative flight plans when necessary, while also registering congested areas for future route optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the unmanned aerial vehicle circumvents high-density areas by flying outside the area, then the probability of contact with persons is reduced, but the flight time increases due to considerable detours
Solution Approach 1:
The patent applies local quality by differentiating avoidance strategies based on local conditions: high-density areas trigger route circumvention, while low-density areas allow direct flight. The system dynamically adjusts flight behavior according to the specific density characteristics of each area encountered, rather than applying a uniform avoidance policy throughout the entire flight path.
Solution Approach 2:
The patent implements dynamics by continuously monitoring area density and dynamically adjusting the flight route in real-time. The flight control device modifies the flight plan based on current density measurements, enabling adaptive route optimization that balances safety requirements with flight efficiency as conditions change during flight.
2Reliability
If the unmanned aerial vehicle repeatedly circumvents high-density areas, then the probability of contact with persons is reduced, but the flight efficiency decreases due to multiple detours
Solution Approach 1:
The patent applies self-service by enabling the flight control device to autonomously detect high-density areas, calculate optimal circumvention routes, and execute route modifications without external intervention. The system independently manages the entire process of safety assessment and route optimization, reducing the need for manual control and improving operational efficiency.
Solution Approach 2:
The patent implements feedback mechanisms by continuously monitoring area density and using this information to adjust flight routes. The system receives feedback from density measurements and modifies its flight path accordingly, creating a closed-loop control system that optimizes both safety and efficiency based on real-time conditions.
3Reliability
If the threshold density is set low, then more areas are avoided increasing safety, but more detours are required increasing flight time
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting the threshold density value based on flight conditions, area characteristics, and safety requirements. The system modifies this critical parameter to optimize the balance between safety and flight efficiency, raising the threshold in low-risk areas to reduce detours while maintaining appropriate safety standards.
Data Source
AI summary
A flight device configured to fly in an air includes an acquisition part configured to acquire a flight plan of the flight device; and a flight control part configured to change the flight plan during a flight along a flight route according to the flight plan for the flight device to circumvent a high-density area having a density of avoided objects equal to or above a threshold density in a first area located forward and downward from a position of the flight device.