Vision-Based Indoor Localization for Unmanned Aerial Vehicles |
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| Authors: | Jeong-Oog Lee Taesam Kang Keun-Hwan Lee Sung Kyu Im Jungkeun Park |
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| Affiliation: | 1Dept. of Aerospace Information Engineering, Konkuk Univ., Seoul, Korea.
2Dept. of Aerospace Information Engineering, Konkuk Univ., Seoul, Korea (corresponding author). E-mail: parkjk@konkuk.ac.kr
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| Abstract: | 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. |
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| Keywords: | Spacecraft Localization Global positioning systems Algorithms |
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