UAV Heading Generation with Preflight Trajectory Editing
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Solution Overview
Problem
Current methods for generating flight routes for aerial photography with unmanned aerial vehicles (UAVs) are either reliant on manual, real-time control, which is time-consuming and prone to human error, or rely on manually set waypoints that can lead to suboptimal shooting angles and distances, potentially causing safety hazards and inefficiencies.
Innovation Solution
A heading generation method and system for UAVs that involves a preliminary flight to record waypoints, generating and editing flight trajectories to create a smooth, optimized route, and adjusting attitude and shooting parameters to ensure precise and efficient aerial photography, using a gimbal and Bezier curve interpolation to avoid manual control and map-based blindness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual real-time control is used for flight route generation, then the operator can adjust shooting parameters and point of view, but the operation time increases and human error affects quality consistency
Solution Approach 1:
The system performs preliminary action by automatically generating the flight route before the actual photography mission. The route generation module creates the complete flight path in advance based on target coordinates and photography parameters, eliminating the need for manual real-time adjustments during flight. This preliminary planning ensures consistent shooting quality while reducing operational time.
Solution Approach 2:
The system implements self-service through automated route generation and execution. The route generation module automatically calculates optimal flight paths without requiring continuous manual intervention. The control system then autonomously executes the generated route, allowing the UAV to perform photography tasks independently while maintaining consistent quality standards.
2Ease of operation
If waypoints are manually set on a map, then dependence on pilot skill is reduced, but blind spots occur and optimal shooting angles cannot be guaranteed
Solution Approach 1:
The system replaces the mechanical process of manual waypoint marking on maps with an automated computational system. The route generation module uses algorithms to calculate optimal flight paths based on target coordinates, camera parameters, and terrain data. This substitution eliminates blind spots and ensures precise shooting angles by computationally determining the optimal trajectory rather than relying on manual map plotting.
Solution Approach 2:
The system optimizes shooting parameters by dynamically adjusting flight path parameters based on target characteristics and camera specifications. The route generation module calculates optimal altitude, speed, and angle parameters automatically, ensuring precise shooting angles without requiring manual intervention. This parameter optimization maintains ease of operation while achieving high precision.
3Measurement precision
If multiple test flights are conducted to find optimal routes, then shooting quality can be improved, but flight time and operational cost increase significantly
Solution Approach 1:
The system performs preliminary route generation before the actual photography mission, calculating the optimal flight path in advance based on target coordinates and camera parameters. This preliminary planning ensures high-quality shooting results without requiring multiple test flights, thereby maintaining productivity and reducing operational time.
Solution Approach 2:
The system uses feedback from target coordinates, terrain data, and camera parameters to automatically generate optimized flight routes. By incorporating this feedback into the route generation algorithm, the system achieves high-quality aerial photography in a single flight, eliminating the need for repeated test flights and improving overall shooting efficiency.
Data Source
AI summary
The present invention discloses a heading generation method of an unmanned aerial vehicle including the following steps of: making a preliminary flight for selecting a point of view to record flight waypoints, the waypoints including positioning data and flight altitude information of the unmanned aerial vehicle; receiving and recording flight waypoints of the unmanned aerial vehicle; generating a flight trajectory according to waypoints of the preliminary flight; editing the flight trajectory to obtain a new flight trajectory; and transmitting the edited new flight trajectory to the unmanned aerial vehicle to cause the unmanned aerial vehicle to fly according to the new flight trajectory. The present invention further relates to a heading generation system of an unmanned aerial vehicle.