Check patentability & draft patents in minutes with Patsnap Eureka AI!

Method for tracking aircraft course

An aircraft and heading technology, applied in the field of aircraft visual navigation, can solve problems such as large amount of calculation and inability to meet the real-time requirements of aircraft navigation.

Inactive Publication Date: 2009-01-28
BEIHANG UNIV
View PDF0 Cites 18 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the large amount of calculation for SIFT feature extraction and feature description, it cannot meet the real-time requirements of aircraft navigation

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for tracking aircraft course
  • Method for tracking aircraft course
  • Method for tracking aircraft course

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0051] The present invention will be further described in detail with reference to the accompanying drawings and embodiments.

[0052] The invention is a method for realizing aircraft heading tracking by using feature matching. An image sequence is collected by a camera mounted forward on the nose of the aircraft for the experiment. For the implementation process of the algorithm, see figure 1 . Specific steps are as follows:

[0053] 1. Initial frame, set the heading position coordinates, save the initial frame as the heading image. Set the exception flag bit flag=0. The flag takes 0 to indicate the normal state, and takes 1 to indicate the abnormal state.

[0054] 2. Read the i-th frame image as the current image to be processed. If the flag value is 0, go to step 3; otherwise, go to step 4.

[0055] 3. Course tracking processing under normal conditions:

[0056] 1) Analyze the main feature area of ​​the heading image and the image to be processed, and perform featur...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a method for tracing the course of an aircraft; the method collects image sequences by using a camera that is forwardly arranged at the head of the aircraft and obtains the position of an initial course in the current visual field by feature matching; the method comprises the following realization steps: the primary feature region of a course map is analyzed; a feature point matching is carried out on the analyzed region by an improved SIFT algorithm; the coordinate relation of match-point pairs is described by an affine transformation model, and a model parameter is estimated by the least square method, thereby obtaining the position of the initial course in the current frame. When the aircraft flies forwards, the invention also provides a method for updating the course so as to ensure that the course is not lost for the expansion of the scenes in the visual field; when the aircraft vibrates violently suddenly leading the course to be out of the visual field, the invention provides a corresponding exception handling mechanism as well. In the invention, as the primary feature region is analyzed by information entropy and the original SIFT algorithm is improved, the calculated amount is greatly reduced and the requirements on the real-time performance of the course matching is ensured; simultaneously, the course updating and the exception handling mechanism are considered and have good robustness.

Description

technical field [0001] The invention belongs to the technical field of aircraft visual navigation. The invention relates to an aircraft heading tracking method based on feature matching. Background technique [0002] Aircraft visual navigation technology uses sensors to obtain object information near the heading, performs image segmentation, detection and other processing on the acquired images, and determines the attitude of the navigation device, Altitude and other necessary parameters for navigation to realize autonomous navigation. Visual navigation technology is especially suitable for micro-aircraft (MAV, Micro Air Vehicle). Due to the limitations of MAV volume, load capacity, power consumption, etc., conventional navigation and attitude stabilization equipment cannot be applied to MAV, and a new navigation system with light weight, high integration, and good reusability must be developed for it. At present, MAV is mainly used for reconnaissance and surveillance, an...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G01C21/24
Inventor 张海韩颖婕李琳怡
Owner BEIHANG UNIV
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com