UAV Mutual Recognition Using Magnetic Orientation and Camera Positioning
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current drone technologies face challenges in accurately authenticating and recognizing service users due to GPS location errors and obstacles, making it difficult for drones to identify users after mutual authentication.
Innovation Solution
A mutual recognition method between an unmanned aerial vehicle (UAV) and a wireless terminal, where the UAV communicates with the user's smart device to receive and transmit state information about external magnetic fields and orientations, allowing the UAV to position itself and camera for accurate user recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS location information is used for autonomous flight to recipient, then the drone can navigate to the destination, but GPS errors of 10 to 50 m occur making accurate user identification difficult
Solution Approach 1:
The patent introduces an intermediary authentication system between the drone and user. Instead of relying solely on GPS coordinates, the system uses mutual authentication protocols where the drone and user's terminal exchange authentication information. This intermediary layer resolves the contradiction by providing reliable user identification even when GPS location has 10-50m errors, as the authentication protocol verifies the actual user's presence and identity at the destination.
2Measurement precision
If the drone moves to an open space for detection and marking operation, then the drone can be easily seen and user recognition is improved, but the flight time increases and delivery efficiency decreases
Solution Approach 1:
The patent applies preliminary action by performing mutual authentication and user recognition procedures before the drone reaches the final delivery position. The authentication process is initiated when the drone approaches the destination area, allowing the system to verify user identity in advance. This eliminates the need for post-arrival detection and marking operations in open spaces, as the user is already identified and confirmed before the drone completes its flight, thereby preventing time loss.
3Reliability
If obstacles such as wooded forests obstruct the drone's view, then the drone cannot identify the recipient, but moving to avoid obstacles increases flight path complexity
Solution Approach 1:
The patent replaces the mechanical visual identification system with an electronic authentication system. Instead of relying on the drone's camera and visual detection capabilities that are blocked by obstacles like forests, the system uses wireless communication and authentication protocols between the drone and the user's terminal. This substitution allows reliable recipient identification through electronic verification rather than mechanical line-of-sight requirements, resolving the contradiction without requiring complex obstacle-avoidance flight paths.
Data Source
AI summary
A mutual recognition method between an unmanned aerial vehicle (UAV) and a wireless terminal, includes: when an image of the UAV is positioned in a predetermined section of an imaging surface of an image sensor in the wireless terminal, receiving, by a server, first state information about the wireless terminal including information about a direction of an external magnetic field of the wireless terminal from the wireless terminal.