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

Saw Hin, Saw Veekeong (2020) Algorithms For Multi-Criteria Global Path Planning Of An Unmanned Combat Vehicle. Masters thesis, Universiti Sains Malaysia.

[img]
Preview
 PDF
Download (1MB) | Preview

Abstract

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.

Item Type: Thesis (Masters)
Subjects: Q Science > QA Mathematics > QA1-939 Mathematics
Divisions: Pusat Pengajian Sains Matematik (School of Mathematical Sciences) > Thesis
Depositing User: Mr Aizat Asmawi Abdul Rahim
Date Deposited: 12 May 2022 02:09
Last Modified: 12 May 2022 02:09
URI: http://eprints.usm.my/id/eprint/52492

Actions (login required)

View Item View Item
USM Repository is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.
Share