UAV Landing Coordinate Transformation for Precise Obstacle-Aware Descent

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Solution Overview

Problem

Current unmanned aerial vehicle (UAV) landing systems face challenges in accurately determining a safe landing point due to GPS position errors and obstacles, and existing image processing and flight control technologies are insufficient for avoiding crowds or specifying exact landing locations.

Innovation Solution

A method involving a server that receives pixel coordinates from an UAV's image sensor, transforms them into absolute coordinates using altitude and viewing angle information, and transmits these coordinates to the UAV for safe landing, while ensuring the imaging surface is horizontal and authenticating user commands for precise control.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If GPS technology is used for location guidance, then the drone can autonomously fly to the destination, but the landing precision is poor due to GPS position error of 10 to 50 meters

Engineering Contradiction:
Improveautonomous flight capabilityVSAvoidlanding position accuracy
Core Design Contradiction:
Ease of operationVSMeasurement precision

Solution Approach 1:

The patent introduces an image sensor as an intermediary device between GPS and the landing point. The image sensor captures visual information of the ground, and through coordinate transformation algorithms, converts pixel coordinates to real-world coordinates, providing precise landing position information that GPS alone cannot deliver.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent replaces reliance on GPS satellite signals with an optical-mechanical system consisting of an image sensor, coordinate transformation algorithm, and visual positioning mechanism. This substitution enables precise positioning independent of GPS accuracy limitations.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Extent of automation

If the drone lands automatically based on GPS coordinates, then the landing process is simple, but the drone may collide with obstacles such as nearby structures or crowds

Engineering Contradiction:
Improveautomatic landingVSAvoidsafety of landing
Core Design Contradiction:
Extent of automationVSReliability

Solution Approach 1:

The patent performs preliminary imaging and obstacle detection before the drone completes its landing approach. The image sensor captures the landing area in advance, allowing the system to identify obstacles and adjust the landing position or alert the operator before the drone commits to the final descent.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent implements a feedback mechanism where image data from the landing area is processed and used to adjust the landing decision. The system continuously monitors the landing zone through the image sensor and provides feedback to modify the landing trajectory or position based on detected obstacles.

Inventive Principle:
Principle #23Feedback

3Ease of operation

If image processing technology is enhanced to recognize gestures, then user interaction is improved, but it is still impossible to inform the drone of an exact landing point through gestures

Engineering Contradiction:
Improveuser interaction capabilityVSAvoidlanding point specification accuracy
Core Design Contradiction:
Ease of operationVSMeasurement precision

Solution Approach 1:

The patent uses the image sensor to create a visual copy or representation of the ground area. By displaying this image on a user terminal and allowing the user to select a point on the displayed image, the system translates a visual selection into precise coordinate information that the drone can use for accurate landing.

Inventive Principle:
Principle #26Copying

Data Source

PatentUS12176929B2Unmanned aerial vehicle landing system
Publication Date: 2024.12.24 ARGOSDYNE CO LTD
  • US12176929B2 patent drawing
  • US12176929B2 patent drawing
  • US12176929B2 patent drawing

AI summary

An unmanned aerial vehicle landing system is disclosed. According to one aspect of the present invention, provided is an unmanned aerial vehicle landing system comprising: a step in which a server receives, from a wireless terminal, pixel coordinates of image data of an image sensor provided in an unmanned aerial vehicle; a coordinate transformation step in which the server transforms the pixel coordinates to absolute coordinates of the unmanned aerial vehicle on the basis of status information of the unmanned aerial vehicle;and a step in which the server transmits the absolute coordinates to the unmanned aerial vehicle. when receiving image data captured by an image sensor included in an unmanned aerial vehicle, displaying the image data on a display included in the user terminal, by a user terminal;transforming pixel coordinates into absolute coordinates of the unmanned aerial vehicle based on information on a state of the unmanned aerial vehicle, by the user terminal; andtransmitting the absolute coordinates to the unmanned aerial vehicle, by the user terminal.