Algorithms For Multi-Criteria Global Path Planning Of An Unmanned Combat Vehicle

Unmanned combat vehicle (UCV) is an armed robotic driverless vehicle deployed in modern warfare to reduce the casualties of safety personnel in dangerous missions. An important aspect in the development of UCV is its path navigation capability. In this research, we consider the global path planning...

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Main Author:	Saw Hin, Saw Veekeong
Format:	Thesis
Language:	English
Published:	2020
Subjects:	QA1-939 Mathematics
Online Access:	http://eprints.usm.my/52492/1/SAW%20VEEKEONG%20AL%20SAW%20HIN%20-%20TESIS-3.pdf%20cut.pdf
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id	my-usm-ep.52492
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spelling	my-usm-ep.524922022-05-12T02:09:37Z Algorithms For Multi-Criteria Global Path Planning Of An Unmanned Combat Vehicle 2020-05 Saw Hin, Saw Veekeong QA1-939 Mathematics Unmanned combat vehicle (UCV) is an armed robotic driverless vehicle deployed in modern warfare to reduce the casualties of safety personnel in dangerous missions. An important aspect in the development of UCV is its path navigation capability. In this research, we consider the global path planning (GPP) problem of the UCV with three attributes: traverse time, risk level, and signal jamming level. 2020-05 Thesis http://eprints.usm.my/52492/ http://eprints.usm.my/52492/1/SAW%20VEEKEONG%20AL%20SAW%20HIN%20-%20TESIS-3.pdf%20cut.pdf application/pdf en public masters Universiti Sains Malaysia Pusat Pengajian Sains Matematik (School of Mathematical Sciences)
institution	Universiti Sains Malaysia
collection	USM Institutional Repository
language	English
topic	QA1-939 Mathematics
spellingShingle	QA1-939 Mathematics Saw Hin, Saw Veekeong Algorithms For Multi-Criteria Global Path Planning Of An Unmanned Combat Vehicle
description	Unmanned combat vehicle (UCV) is an armed robotic driverless vehicle deployed in modern warfare to reduce the casualties of safety personnel in dangerous missions. An important aspect in the development of UCV is its path navigation capability. In this research, we consider the global path planning (GPP) problem of the UCV with three attributes: traverse time, risk level, and signal jamming level.
format	Thesis
qualification_level	Master's degree
author	Saw Hin, Saw Veekeong
author_facet	Saw Hin, Saw Veekeong
author_sort	Saw Hin, Saw Veekeong
title	Algorithms For Multi-Criteria Global Path Planning Of An Unmanned Combat Vehicle
title_short	Algorithms For Multi-Criteria Global Path Planning Of An Unmanned Combat Vehicle
title_full	Algorithms For Multi-Criteria Global Path Planning Of An Unmanned Combat Vehicle
title_fullStr	Algorithms For Multi-Criteria Global Path Planning Of An Unmanned Combat Vehicle
title_full_unstemmed	Algorithms For Multi-Criteria Global Path Planning Of An Unmanned Combat Vehicle
title_sort	algorithms for multi-criteria global path planning of an unmanned combat vehicle
granting_institution	Universiti Sains Malaysia
granting_department	Pusat Pengajian Sains Matematik (School of Mathematical Sciences)
publishDate	2020
url	http://eprints.usm.my/52492/1/SAW%20VEEKEONG%20AL%20SAW%20HIN%20-%20TESIS-3.pdf%20cut.pdf
_version_	1747822187595694080

Algorithms For Multi-Criteria Global Path Planning Of An Unmanned Combat Vehicle

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