Aircraft Landing Control Using Visual Tracking of Landing Marks

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Solution Overview

Problem

Current aircraft landing methods using GPS are prone to inaccuracies due to signal drift and low positioning accuracy, making precise landing challenging.

Innovation Solution

A landing control method that involves acquiring and adjusting images of a preset takeoff and landing point at different heights, extracting image features, training filters, and predicting position information to dynamically track and land the aircraft accurately.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Extent of automation

If GPS coordinates are used for aircraft landing control, then the landing automation is improved, but the landing precision deteriorates due to GPS signal drift and poor positioning accuracy

Engineering Contradiction:
Improvelanding automationVSAvoidlanding precision
Core Design Contradiction:
Extent of automationVSManufacturing precision

Solution Approach 1:

The patent introduces an intermediary object (preset mark at the landing site) that serves as a reference for the aircraft's vision system. This mark acts as a mediator between the GPS navigation system and the final landing point, providing visual features that the aircraft can track and use for precise positioning correction, thereby resolving the contradiction between automation and precision

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent implements a feedback mechanism where the aircraft's vision system continuously captures images of the preset mark, extracts其特征, and compares them with reference data. The position deviation information is fed back to the control system for real-time trajectory correction, enabling high-precision landing while maintaining automation

Inventive Principle:
Principle #23Feedback

2Manufacturing precision

If image processing and filter training are performed in real-time during landing, then the landing precision is improved, but the computational complexity and processing time increase

Engineering Contradiction:
Improvelanding precisionVSAvoidprocessing complexity
Core Design Contradiction:
Manufacturing precisionVSDevice complexity

Solution Approach 1:

The patent performs preliminary actions by pre-training position and scale filters during the takeoff phase when the aircraft has stable imaging conditions and sufficient computational resources. This pre-processing reduces the real-time computational burden during landing, allowing high-precision image processing without excessive complexity during the critical landing phase

Inventive Principle:
Principle #10Preliminary action

3Measurement precision

If the aircraft collects images at multiple heights during takeoff and landing, then the positioning accuracy is improved, but the data processing volume and time increase

Engineering Contradiction:
Improvepositioning accuracyVSAvoidprocessing time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent applies partial action by selectively processing images at specific heights rather than all captured images. During takeoff, images are collected at multiple heights for comprehensive positioning data, but during landing, only critical height ranges are processed in real-time. This selective processing maintains positioning accuracy while reducing overall processing time and computational load

Inventive Principle:
Principle #16Partial or excessive action

Data Source

PatentUS12124274B2Landing control method, aircraft and storage medium
Publication Date: 2024.10.22 AUTEL ROBOTICS CO LTD
  • US12124274B2 patent drawing
  • US12124274B2 patent drawing
  • US12124274B2 patent drawing

AI summary

The embodiments are a landing control method, an aircraft, and a storage medium. The method is applied to the aircraft, and includes: the current frame template image is subjected to image feature extraction, and the extracted image features are used to train the position filter and the scale filter of the first template image; the position information of the first template image in the next frame image is predicted by using the position filter and the scale filter; and the landing of the aircraft is corrected by using the position information, such that the aircraft can dynamically track the preset takeoff and landing point for landing, so as to realize the accurate landing of the aircraft.