relation: https://khub.utp.edu.my/scholars/12064/
title: Global thresholding for scene understanding towards autonomous drone navigation
creator: Lee, A.W.C.
creator: Yong, S.-P.
creator: Watada, J.
description: Unmanned aerial vehicles, more typically known as drones are flying aircrafts that do not have a pilot on-board. For drones to fly through an area without GPS signals, developing scene understanding algorithms to assist in autonomous navigation will be useful. In this paper, various thresholding algorithms are evaluated to enhance scene understanding in addition to object detection. Based on the results obtained, Gaussian filter global thresholding can segment regions of interest in the scene effectively and provide the least cost of processing time. © 2019 Fuji Technology Press. All rights reserved.
publisher: Fuji Technology Press
date: 2019
type: Article
type: PeerReviewed
identifier:   Lee, A.W.C. and Yong, S.-P. and Watada, J.  (2019) Global thresholding for scene understanding towards autonomous drone navigation.  Journal of Advanced Computational Intelligence and Intelligent Informatics, 23 (5).  pp. 909-919.  ISSN 13430130     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072306354&doi=10.20965%2fjaciii.2019.p0909&partnerID=40&md5=b8cbf6faabe1a96c947df9742e4d0e5e
relation: 10.20965/jaciii.2019.p0909
identifier: 10.20965/jaciii.2019.p0909