A Review of Indoor Positioning Systems for UAV Localization with Machine Learning Algorithms

被引：22
|
作者：
Sandamini, Chamali [1 ]
Maduranga, Madduma Wellalage Pasan [1 ]
Tilwari, Valmik [2 ]
Yahaya, Jamaiah [3 ]
Qamar, Faizan [4 ]
Nguyen, Quang Ngoc [5 ]
Ibrahim, Siti Rohana Ahmad [3 ]
机构：
[1] Gen Sir John Kotelawala Def Univ, Dept Comp Engn, Colombo 10390, Sri Lanka
[2] Korea Univ, Sch Elect Engn, Seoul 02841, South Korea
[3] Univ Kebangsaan Malaysia, Fac Informat Sci & Technol FTSM, Ctr Software Technol & Management, Bangi 43600, Selangor, Malaysia
[4] Univ Kebangsaan Malaysia, Fac Informat Sci & Technol, Ctr Cyber Secur, Bangi 43600, Selengor, Malaysia
[5] Waseda Univ, Fac Sci & Engn, Shinjuku ku, Tokyo 1690051, Japan
来源：
ELECTRONICS | 2023年 / 12卷 / 07期
关键词：
unmanned aerial vehicle (UAV); mini-UAV; indoor localization; machine learning (ML); ML for signal processing; WIRELESS NETWORKS; NEURAL-NETWORKS; POWER-CONTROL; RANDOM FOREST; CLASSIFICATION; 5G; CHALLENGES; MANAGEMENT; MMWAVE; TREE;
D O I：
10.3390/electronics12071533
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The potential of indoor unmanned aerial vehicle (UAV) localization is paramount for diversified applications within large industrial sites, such as hangars, malls, warehouses, production lines, etc. In such real-time applications, autonomous UAV location is required constantly. This paper comprehensively reviews radio signal-based wireless technologies, machine learning (ML) algorithms and ranging techniques that are used for UAV indoor positioning systems. UAV indoor localization typically relies on vision-based techniques coupled with inertial sensing in indoor Global Positioning System (GPS)-denied situations, such as visual odometry or simultaneous localization and mapping employing 2D/3D cameras or laser rangefinders. This work critically reviews the research and systems related to mini-UAV localization in indoor environments. It also provides a guide and technical comparison perspective of different technologies, presenting their main advantages and disadvantages. Finally, it discusses various open issues and highlights future directions for UAV indoor localization.
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收藏
页数：19
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