Feature based extraction method for airplane door detection and localization to control the aerobridge

In this thesis, a features detection system of aircraft door in the automated passengers boarding bridge, also called as aerobridge docking system, is proposed. The target for the automated passenger boarding bridge system is to dock the aerobridge to the airplane after the aircraft landing. The doo...

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Main Author: Cheng, Yupeng
Other Authors: Wang Jianliang
Format: Theses and Dissertations
Language:English
Published: 2017
Subjects:
Online Access:http://hdl.handle.net/10356/72561
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-725612023-07-04T15:54:23Z Feature based extraction method for airplane door detection and localization to control the aerobridge Cheng, Yupeng Wang Jianliang School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering In this thesis, a features detection system of aircraft door in the automated passengers boarding bridge, also called as aerobridge docking system, is proposed. The target for the automated passenger boarding bridge system is to dock the aerobridge to the airplane after the aircraft landing. The door features detecting is serve as the eye for the aerobridge docking system, which is able to locate the position of the aircraft door, and then to guide the aerobridge docking to the door automatically. This thesis focus on the first level for airplane door detection, it introduces 5 common features in the airplane door and discusses the method to find these features. At first, some critical technics to pre-process the images, in order to simplify the information, has been introduced, such as smoothing technics and information extracting technics. After that, arrow, door handle, footplate, doorframe, and window have been set as the common features for aircraft door, and then, the different ways to locate these features, based on the physical characteristics of them, have been proposed one by one, and the result of detecting has been presented. Meanwhile, some special situations for features detecting are also discussed in this thesis, such as poor light condition and heavy rain. Master of Science (Computer Control and Automation) 2017-08-28T12:01:47Z 2017-08-28T12:01:47Z 2017 Thesis http://hdl.handle.net/10356/72561 en 107 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Cheng, Yupeng
Feature based extraction method for airplane door detection and localization to control the aerobridge
description In this thesis, a features detection system of aircraft door in the automated passengers boarding bridge, also called as aerobridge docking system, is proposed. The target for the automated passenger boarding bridge system is to dock the aerobridge to the airplane after the aircraft landing. The door features detecting is serve as the eye for the aerobridge docking system, which is able to locate the position of the aircraft door, and then to guide the aerobridge docking to the door automatically. This thesis focus on the first level for airplane door detection, it introduces 5 common features in the airplane door and discusses the method to find these features. At first, some critical technics to pre-process the images, in order to simplify the information, has been introduced, such as smoothing technics and information extracting technics. After that, arrow, door handle, footplate, doorframe, and window have been set as the common features for aircraft door, and then, the different ways to locate these features, based on the physical characteristics of them, have been proposed one by one, and the result of detecting has been presented. Meanwhile, some special situations for features detecting are also discussed in this thesis, such as poor light condition and heavy rain.
author2 Wang Jianliang
author_facet Wang Jianliang
Cheng, Yupeng
format Theses and Dissertations
author Cheng, Yupeng
author_sort Cheng, Yupeng
title Feature based extraction method for airplane door detection and localization to control the aerobridge
title_short Feature based extraction method for airplane door detection and localization to control the aerobridge
title_full Feature based extraction method for airplane door detection and localization to control the aerobridge
title_fullStr Feature based extraction method for airplane door detection and localization to control the aerobridge
title_full_unstemmed Feature based extraction method for airplane door detection and localization to control the aerobridge
title_sort feature based extraction method for airplane door detection and localization to control the aerobridge
publishDate 2017
url http://hdl.handle.net/10356/72561
_version_ 1772828012707840000