UAV Collision Avoidance via Image-Based Flight Limiting
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Solution Overview
Problem
Human error during the operation of traditional UAV controllers can result in incorrect flight direction changes, leading to potential collisions with obstacles, highlighting the need for an efficient method to automatically control UAVs and ensure safe navigation.
Innovation Solution
The implementation of a UAV control system that includes an image capturing device, electronic compass chip, and network module, which uses computerized instructions to detect objects, calculate relative positions and angles, and control the flight direction to avoid collisions by determining a flight limiting range and sending commands to the control device to prevent dangerous maneuvers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual control using a special controller is used, then the UAV can be operated with simple device structure, but human error leads to incorrect flight direction changes and potential collisions
Solution Approach 1:
The UAV performs self-detection of obstacles using its onboard image capturing device and electronic compass chip, and automatically calculates relative positions and angles without external intervention. The system serves itself by autonomously determining flight limiting ranges and generating avoidance commands, eliminating the need for manual monitoring and control adjustments.
Solution Approach 2:
The system continuously captures real-time images of the flight environment, detects objects, calculates relative positions and angles, and feeds this information back to automatically adjust the flight direction. The feedback loop includes monitoring the UAV's current state, comparing it with desired navigation goals, and making corrective control adjustments to maintain safe flight paths.
2Reliability
If automatic control system is implemented to detect objects and calculate relative positions, then collision avoidance capability is improved, but device complexity increases due to additional components
Solution Approach 1:
The image capturing device serves multiple functions: capturing images for object detection, determining relative positions of obstacles, and calculating angles for flight path adjustment. The electronic compass chip provides orientation data that is used both for calculating relative angles to obstacles and for general navigation. This multi-functionality reduces the need for separate specialized components.
Solution Approach 2:
The patent combines the image capturing device, electronic compass chip, and control device into an integrated control system. The control device merges multiple functions including object detection, relative position calculation, angle determination, and flight path adjustment into a single coordinated system, reducing overall device complexity while maintaining comprehensive collision avoidance capability.
3Reliability
If real-time object detection and automatic flight path adjustment is implemented, then navigation safety is improved, but processing time and computational load increase
Solution Approach 1:
The system pre-calculates flight limiting ranges based on detected object positions and characteristics before actual collision risk materializes. By determining avoidance paths in advance and preparing control commands beforehand, the system reduces real-time processing requirements and enables faster response when obstacles are detected.
Solution Approach 2:
The control system prioritizes critical processing tasks by skipping non-essential computations during obstacle avoidance scenarios. When objects are detected within critical distances, the system rushes through the essential calculation steps (determining relative position, calculating angle, generating avoidance command) without performing full analytical procedures, thereby reducing processing time for safety-critical operations.
Data Source
AI summary
In a method for controlling an unmanned aerial vehicle (UAV), a digital image is obtained by an image capturing device of the UAV. The method detects an object in the digital image, determines a distance between the detected object and the UAV, and obtains a flight direction of the UAV if the distance is less than a preset value. The method further calculates a relative position and a relative angle between the detected object and the UAV, determines a flight limiting range of the UAV according to the relative position and the relative angle, and controls the flight direction of the UAV according to the flight limiting range.