UAV Route Planning Using Quadrant Angles and Waypoints
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Solution Overview
Problem
Conventional unmanned aerial vehicles (UAVs) require manual or remote control for navigation, limiting their ability to fly according to a planned route without human intervention, which hinders their practical application in tasks like photography, weather monitoring, and environmental surveillance.
Innovation Solution
A route planning method and apparatus for UAVs that determine a quadrant angle and flight shifting distance based on a starting and ending point, generating waypoints and routes to plan a flight path autonomously, allowing the UAV to fly without manual control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual or remote control is used for UAV navigation, then the control flexibility is maintained, but the operational efficiency and safety are reduced due to the need for human intervention
Solution Approach 1:
The UAV system performs self-navigation by automatically determining quadrant angles, calculating flight shifting distances, generating waypoints, and planning flight paths without requiring manual or remote control intervention. The processor executes these functions autonomously based on stored instructions, enabling the UAV to serve itself in navigation tasks
Solution Approach 2:
The system pre-calculates and stores multiple quadrant angles (first, second, third, fourth quadrant angles) and their corresponding flight shifting distances before actual flight operations. This preliminary preparation of navigation data allows the UAV to quickly determine appropriate flight parameters during operation without real-time human input
2Productivity
If autonomous route planning is implemented, then the operational efficiency is improved, but the device complexity increases due to additional calculation and processing requirements
Solution Approach 1:
The autonomous navigation system is divided into distinct functional modules: quadrant angle determination module, flight shifting distance calculation module, waypoint generation module, and flight path planning module. Each module performs a specific calculation task independently, making the complex navigation system manageable and maintainable through functional segmentation
Solution Approach 2:
The system determines different flight shifting distances based on changing parameters including quadrant angle, first interval between waypoints, and second interval between routes. By dynamically adjusting these parameters according to flight conditions, the system achieves adaptive autonomous navigation without requiring complex fixed-structure algorithms
3Manufacturing precision
If multiple waypoints and routes are generated with precise intervals, then the flight path accuracy is improved, but the calculation time and processing load increase
Solution Approach 1:
The system generates multiple waypoints along the flight path with specified intervals between them. By creating more waypoints than the minimum required (excessive action), the system ensures higher flight path accuracy and better route coverage, accepting the trade-off of increased calculation complexity for improved precision
Data Source
AI summary
The present application provides route planning methods and apparatuses for an unmanned aerial vehicle. An exemplary route planning method may include determining a quadrant angle in accordance with a starting point and an ending point. The route planning method may also include determining a flight shifting distance in accordance with the quadrant angle, a first interval between waypoints, and a second interval between routes. The route planning method may further include generating a plurality of waypoints and a plurality of routes in accordance with the quadrant angle, the flight shifting distance, the first interval between waypoints, and the second interval between routes. In addition, the route planning method include planning a flight path in accordance with the plurality of waypoints and the plurality of routes.