UAV Flight Path Planning Using Bird Navigation Data
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Solution Overview
Problem
Existing flight path planning for UAVs in metropolitan areas with high obstructions and wind effects is inefficient, leading to potential collisions and increased energy consumption, as current methods rely on manual control, environmental sensors, or inefficient obstruction avoidance algorithms.
Innovation Solution
The method involves recording the flight paths of racing pigeons equipped with recording devices to identify optimal, obstruction-free routes, which are then inputted into UAVs for safe and efficient navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If UAVs fly through metropolitan areas with high-rise buildings, then delivery efficiency is improved by avoiding traffic jams, but collision risk with obstructions increases
Solution Approach 1:
The system performs preliminary flight path planning by recording multiple possible routes from different bird flights before the actual UAV delivery. These pre-recorded paths are stored and analyzed to identify the optimal route that avoids obstructions while maintaining efficiency
Solution Approach 2:
The system uses birds (pigeons) as natural flight path planners, copying their instinctive navigation abilities to discover optimal routes through metropolitan areas. The birds' flight paths are recorded and then replicated by UAVs, leveraging the birds' ability to naturally avoid obstructions
2Reliability
If users manually control UAVs to avoid obstructions, then collision avoidance capability is improved, but operational complexity and user burden increase
Solution Approach 1:
The system enables self-service collision avoidance by allowing birds to autonomously discover and record optimal flight paths through metropolitan areas. The recorded paths are then automatically used by UAVs without requiring continuous manual intervention, making the system self-sufficient in navigation
Solution Approach 2:
The system introduces birds as an intermediary between the destination and the UAV navigation system. The birds naturally explore and identify safe flight paths, which are then transferred to the UAV system, eliminating the need for direct human intervention in real-time collision avoidance
3Reliability
If UAVs fly at high altitude to avoid obstructions, then collision risk is reduced, but energy consumption and flight time increase
Solution Approach 1:
The system applies local quality by allowing UAVs to fly at varying altitudes along the recorded bird flight paths. Rather than maintaining a consistently high altitude, the UAV follows the natural altitude variations of the bird's path, which locally adapts to the urban environment and reduces unnecessary energy expenditure
Data Source
AI summary
A method for flight path planning of unmanned aerial vehicles using flying routes of birds includes: recording multiple pieces of flight data, wherein multiple recording devices are used to record the multiple pieces of flight data when the birds fly from a first designated point to a second designated point and are respectively installed on the birds; generating an optimal flight path, wherein an analyzing device collects the multiple pieces of flight data and calculates the optimal flight path; and controlling a UAV to fly according to the optimal flight path, wherein the optimal flight path is inputted to the UAV. By virtue of bird's nature automatically avoiding obstruction and adapting to wind direction and air flow, multiple obstruction-free recording points between two places can be acquired to form an optimal flight path with the shortest flying time or distance.