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Visual Landing Based on the Human Depth Perception in Limited Visibility and Failure of Avionic Systems

This paper introduces a novel visual landing system applicable to the accurate landing of commercial aircraft utilizing human depth perception algorithms, named a 3D Model Landing System (3DMLS). The 3DMLS uses a simulation environment for visual landing in the failure of navigation aids/avionics, a...

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Detalles Bibliográficos
Autores principales: Mobini, Maryam, Sabzehparvar, Mehdi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9054408/
https://www.ncbi.nlm.nih.gov/pubmed/35498171
http://dx.doi.org/10.1155/2022/4320101
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author Mobini, Maryam
Sabzehparvar, Mehdi
author_facet Mobini, Maryam
Sabzehparvar, Mehdi
author_sort Mobini, Maryam
collection PubMed
description This paper introduces a novel visual landing system applicable to the accurate landing of commercial aircraft utilizing human depth perception algorithms, named a 3D Model Landing System (3DMLS). The 3DMLS uses a simulation environment for visual landing in the failure of navigation aids/avionics, adverse weather conditions, and limited visibility. To simulate the approach path and surrounding area, the 3DMLS implements both the inertial measurement unit (IMU) and the digital elevation model (DEM). While the aircraft is in the instrument landing system (ILS) range, the 3DMLS simulates more details of the environment in addition to implementing the DOF depth perception algorithm to provide a clear visual landing path. This path is displayed on a multifunction display in the cockpit for pilots. As the pilot's eye concentrates mostly on the runway location and touch-down point, “the runway” becomes the center of focus in the environment simulation. To display and evaluate the performance of the 3DMLS and depth perception, a landing auto test is also designed and implemented to guide the aircraft along the runway. The flight path is derived simultaneously by comparison of the current aircraft and the runway position. The Unity and MATLAB software are adopted to model the 3DMLS. The accuracy and the quality of the simulated environment in terms of resolution, the field of view, frame per second, and latency are confirmed based on FSTD's visual requirements. Finally, the saliency map toolbox shows that the depth of field (DOF) implementation increases the pilot's concentration resulting in safe landing guidance.
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spelling pubmed-90544082022-04-30 Visual Landing Based on the Human Depth Perception in Limited Visibility and Failure of Avionic Systems Mobini, Maryam Sabzehparvar, Mehdi Comput Intell Neurosci Research Article This paper introduces a novel visual landing system applicable to the accurate landing of commercial aircraft utilizing human depth perception algorithms, named a 3D Model Landing System (3DMLS). The 3DMLS uses a simulation environment for visual landing in the failure of navigation aids/avionics, adverse weather conditions, and limited visibility. To simulate the approach path and surrounding area, the 3DMLS implements both the inertial measurement unit (IMU) and the digital elevation model (DEM). While the aircraft is in the instrument landing system (ILS) range, the 3DMLS simulates more details of the environment in addition to implementing the DOF depth perception algorithm to provide a clear visual landing path. This path is displayed on a multifunction display in the cockpit for pilots. As the pilot's eye concentrates mostly on the runway location and touch-down point, “the runway” becomes the center of focus in the environment simulation. To display and evaluate the performance of the 3DMLS and depth perception, a landing auto test is also designed and implemented to guide the aircraft along the runway. The flight path is derived simultaneously by comparison of the current aircraft and the runway position. The Unity and MATLAB software are adopted to model the 3DMLS. The accuracy and the quality of the simulated environment in terms of resolution, the field of view, frame per second, and latency are confirmed based on FSTD's visual requirements. Finally, the saliency map toolbox shows that the depth of field (DOF) implementation increases the pilot's concentration resulting in safe landing guidance. Hindawi 2022-04-22 /pmc/articles/PMC9054408/ /pubmed/35498171 http://dx.doi.org/10.1155/2022/4320101 Text en Copyright © 2022 Maryam Mobini and Mehdi Sabzehparvar. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Mobini, Maryam
Sabzehparvar, Mehdi
Visual Landing Based on the Human Depth Perception in Limited Visibility and Failure of Avionic Systems
title Visual Landing Based on the Human Depth Perception in Limited Visibility and Failure of Avionic Systems
title_full Visual Landing Based on the Human Depth Perception in Limited Visibility and Failure of Avionic Systems
title_fullStr Visual Landing Based on the Human Depth Perception in Limited Visibility and Failure of Avionic Systems
title_full_unstemmed Visual Landing Based on the Human Depth Perception in Limited Visibility and Failure of Avionic Systems
title_short Visual Landing Based on the Human Depth Perception in Limited Visibility and Failure of Avionic Systems
title_sort visual landing based on the human depth perception in limited visibility and failure of avionic systems
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9054408/
https://www.ncbi.nlm.nih.gov/pubmed/35498171
http://dx.doi.org/10.1155/2022/4320101
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