Vision-Based Indoor Localization for Unmanned Aerial Vehicles

Small unmanned aerial vehicles are cost-effective and easy to operate, and especially suitable in dangerous indoor environments. However, because GPS is not available in an indoor environment, indoor localization is a crucial problem in developing small unmanned aerial vehicles (UAVs). This paper su...

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Bibliographic Details
Published in:Journal of aerospace engineering 2011-07, Vol.24 (3), p.373-377
Main Authors: Lee, Jeong-Oog, Kang, Taesam, Lee, Keun-Hwan, Im, Sung Kyu, Park, Jungkeun
Format: Article
Language:English
Subjects:
Global Positioning System
Indoor
Indoor environments
Localization
Position (location)
Satellite navigation systems
TECHNICAL PAPERS
Unmanned aerial vehicles
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Summary:Small unmanned aerial vehicles are cost-effective and easy to operate, and especially suitable in dangerous indoor environments. However, because GPS is not available in an indoor environment, indoor localization is a crucial problem in developing small unmanned aerial vehicles (UAVs). This paper suggests vision-based indoor localization for UAVs in GPS-denied environments. Our approach is based on image matching by applying the scale invariant feature transform algorithm.
ISSN:0893-1321
1943-5525
DOI:10.1061/(ASCE)AS.1943-5525.0000064