Paper Info
Title
Mobile Target Tracking Mechanisms Using Unmanned Aerial Vehicle: Investigations And Future Directions
Abstract
Nowadays, the unmanned aerial vehicles (UAV) deployment for diverse applications become a reality. Mobile target tracking (MTT) using UAVs is among the widespread UAVs applications. Accordingly, much recent research approaches considering UAV platforms for MTT have been developed. In this article, a survey of the literature of the past five years involving MTT algorithms, approaches, and solutions running through UAVs networks is performed. A taxonomy that classifies the studied approaches into three categories is provided. In addition, a comparison between the most common MTT algorithms highlighting the advantages and the limitations of the studied mechanisms are proposed. Furthermore, this article also provides future research directions and open issues related to MTT.
Year
DOI
Venue
2020
10.1109/JSYST.2019.2941452
IEEE SYSTEMS JOURNAL
Keywords
DocType
Volume
Target tracking, Classification algorithms, Unmanned aerial vehicles, Prediction algorithms, Computer vision, Taxonomy, Computer vision, mobile target tracking (MTT), unmanned aerial vehicles (UAVs), UAV guidance law
Journal
14
Issue
ISSN
Citations 
2
1932-8184
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Aicha Idriss Hentati100.34
Lamia Chaari Fourati27824.90