Staff View: A Real-Time Autonomous Flight Navigation Trajectory Assessment for Unmanned Aerial Vehicles

A Real-Time Autonomous Flight Navigation Trajectory Assessment for Unmanned Aerial Vehicles

Air navigation; Aircraft detection; Antennas; Flight paths; Indoor positioning systems; Industrial research; Navigation; Robotics; Robots; Unmanned aerial vehicles (UAV); Autonomous systems; Critical assessment; Indoor environment; Localization technique; Performance quality; Performance-based asses...

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Main Authors:	Mostafa S.A., Mustapha A., Shamsudin A.U., Ahmad A., Ahmad M.S., Gunasekaran S.S.
Other Authors:	37036085800
Format:	Conference Paper
Published:	Institute of Electrical and Electronics Engineers Inc. 2023
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id	my.uniten.dspace-23543
record_format	dspace
spelling	my.uniten.dspace-235432023-05-29T14:50:10Z A Real-Time Autonomous Flight Navigation Trajectory Assessment for Unmanned Aerial Vehicles Mostafa S.A. Mustapha A. Shamsudin A.U. Ahmad A. Ahmad M.S. Gunasekaran S.S. 37036085800 57200530694 55383687700 55390963300 56036880900 55652730500 Air navigation; Aircraft detection; Antennas; Flight paths; Indoor positioning systems; Industrial research; Navigation; Robotics; Robots; Unmanned aerial vehicles (UAV); Autonomous systems; Critical assessment; Indoor environment; Localization technique; Performance quality; Performance-based assessment; System's performance; Trajectory tracking; Multi agent systems In the recent years, different indoor local positioning techniques are proposed for robotics or UA V systems. This is due to the new research and industrial applications that they can cover. Assessing the performance and autonomous manoeuvring capability of the UA V in a dynamic and interactive indoor environment is challenging. To this end, this paper proposes a Performance Visualized Assessment (PV A) model to assess the performance quality of an autonomous UA V system in indoor environments. The PV A model includes Chi-square Inference (CSI) module and Visualized Mission Grid (VMG) map. The CSI has an optical flow indoor trajectory tracking and localization technique. It estimates the UA V flying positioning indoor without the GPS service. The VMG map has a visualized domain knowledge of the environment and the navigation mission scenario. The PVA model checks and visualizes the trajectory and the behaviour of the UA V when operating navigation missions. The PV A model is applied to track and assess the performance of a quadrotor UAV in real-Time search missions. The results show the ability of the model to estimate and visualize the performance quality of the search missions with convenient accuracy. It narrows down the needed parameters of a critical assessment and reduces a human supervisor workload while monitoring the system's performance. � 2018 IEEE. Final 2023-05-29T06:50:10Z 2023-05-29T06:50:10Z 2018 Conference Paper 10.1109/ISAMSR.2018.8540544 2-s2.0-85059775413 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059775413&doi=10.1109%2fISAMSR.2018.8540544&partnerID=40&md5=99c1ef6a038f8ff9dffbf2ae5bc7f3b4 https://irepository.uniten.edu.my/handle/123456789/23543 8540544 Institute of Electrical and Electronics Engineers Inc. Scopus
institution	Universiti Tenaga Nasional
building	UNITEN Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Tenaga Nasional
content_source	UNITEN Institutional Repository
url_provider	http://dspace.uniten.edu.my/
description	Air navigation; Aircraft detection; Antennas; Flight paths; Indoor positioning systems; Industrial research; Navigation; Robotics; Robots; Unmanned aerial vehicles (UAV); Autonomous systems; Critical assessment; Indoor environment; Localization technique; Performance quality; Performance-based assessment; System's performance; Trajectory tracking; Multi agent systems
author2	37036085800
author_facet	37036085800 Mostafa S.A. Mustapha A. Shamsudin A.U. Ahmad A. Ahmad M.S. Gunasekaran S.S.
format	Conference Paper
author	Mostafa S.A. Mustapha A. Shamsudin A.U. Ahmad A. Ahmad M.S. Gunasekaran S.S.
spellingShingle	Mostafa S.A. Mustapha A. Shamsudin A.U. Ahmad A. Ahmad M.S. Gunasekaran S.S. A Real-Time Autonomous Flight Navigation Trajectory Assessment for Unmanned Aerial Vehicles
author_sort	Mostafa S.A.
title	A Real-Time Autonomous Flight Navigation Trajectory Assessment for Unmanned Aerial Vehicles
title_short	A Real-Time Autonomous Flight Navigation Trajectory Assessment for Unmanned Aerial Vehicles
title_full	A Real-Time Autonomous Flight Navigation Trajectory Assessment for Unmanned Aerial Vehicles
title_fullStr	A Real-Time Autonomous Flight Navigation Trajectory Assessment for Unmanned Aerial Vehicles
title_full_unstemmed	A Real-Time Autonomous Flight Navigation Trajectory Assessment for Unmanned Aerial Vehicles
title_sort	real-time autonomous flight navigation trajectory assessment for unmanned aerial vehicles
publisher	Institute of Electrical and Electronics Engineers Inc.
publishDate	2023
_version_	1806425492531707904
score	13.222552

A Real-Time Autonomous Flight Navigation Trajectory Assessment for Unmanned Aerial Vehicles

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