Real-time capture method and system of docking airplane on the basis of machine vision

Abstract

The invention discloses a real-time capture method and system of a docking airplane on the basis of machine vision. The method comprises the following steps: dividing a monitoring scene into different information processing functional areas to improve processing efficiency; on the basis of a median filtering background model, a Gaussian mixture background model or a background model of kernel density probability estimation, simulating the dynamic distribution of a background in a scene, carrying out background modeling, and then, carrying out difference on a current frame and the background model to eliminate the background; carrying out statistics on a gray value, which is extracted through background elimination, in a foreground area to carry out shade elimination; and establishing a standard front-side airplane area template, detecting and extracting a target area, obtaining a vertical projection curve of the area, obtaining a correlation coefficient of the vertical projection curve and the vertical projection curve of the standard front-side airplane area template to judge whether an airplane docks, and carrying out further verification through the engine and the front wheel of the airplane captured through detection. The invention also provides a real-time capture system of the docking airplane, wherein the real-time capture system correspondingly realizes the above method.

Description

technical field [0001] The invention relates to a berth aircraft positioning and guidance technology, in particular to a machine vision-based real-time docking aircraft capture method and system for moving object detection, feature recognition and verification of aircraft berth guidance. Background technique [0002] Aircraft parking guidance refers to the process of guiding an arriving aircraft from the end of the taxiway to the parking position on the apron and parking it accurately. The purpose of aircraft parking guidance is to ensure the safe and accurate parking of docked aircraft, to facilitate the accurate docking of aircraft and various ground handling interfaces, and to enable boarding bridges to effectively dock with aircraft doors, improving the efficiency and safety of airport operations. According to the types of sensors used, automatic aircraft parking guidance systems are mainly divided into: (1) buried coils; (2) laser scanning ranging; (3) visual perception...

AI Technical Summary

Problems solved by technology

The Visual Aircraft Parking Guidance System (VDGS) developed by the American Honeywell Company and the Video Parking Guidance System (VDOCKS) developed by the German Siemens Company are also used in some international airports as world-leading visual guidance equipment, but these systems are not affected by weather and illuminance. High requirements, poor adaptability, and lack of intelligent information processing capabilities

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