Development of an Indoor Visual-Based Monocular Positioning System for Multirotor

被引：2

作者：

Himawan, Rifqi Widy ^{[1
]}

Baylon, Patrisius Bagus Alvito ^{[1
]}

Sembiring, Javensius ^{[1
]}

Jenie, Yazdi Ibrahim ^{[1
]}

机构：

[1] Inst Teknol Bandung, Fac Mech & Aerosp Engn, Bandung, Indonesia

来源：

2023 IEEE INTERNATIONAL CONFERENCE ON AEROSPACE ELECTRONICS AND REMOTE SENSING TECHNOLOGY, ICARES | 2023年

关键词：

Monocular; Visual-Based Sensors; Artificial Intelligence; Unmanned Aerial Vehicle; Positioning System; Indoor;

D O I：

10.1109/ICARES60489.2023.10329792

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

The limitations of Global Navigation Satellite System (GNSS) in enclosed spaces have prompted the need for alternative methods for determining the position and navigation of Unmanned Aerial Vehicles (UAVs). One potential solution is to employ visual-based sensors and artificial intelligence (AI) algorithms. This study aims to explore the feasibility of a monocular vision-based positioning system for determining the position of a UAV by placing a sensor in a fixed position and feeding the image stream to an AI algorithm to generate the position and navigation solution. The results of this study could have practical applications, particularly inspection hangars where GNSS cannot be used. Automating the inspection process using UAVs could also help reduce the risk of human injury associated with elevated working spaces by improving the safety and efficiency of the inspection process.

引用

页数：7

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