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

被引：30

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.

引用

页数：19

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