Development of a SIFT based monocular EKF-SLAM algorithm for a small unmanned aerial vehicle

Taro Suzuki*, Yoshiharu Amano, Takumi Hashizume

*この研究の対応する著者

研究成果: Conference contribution

10 被引用数 (Scopus)

抄録

This paper describes a simultaneous localization and mapping (SLAM) algorithm using a monocular camera for a small unmanned aerial vehicle (UAV). A small U AV is attracted the attention for effective means of the collecting aerial information. However, there are few practical applications due to its small payloads for the 3D measurement. We propose extended Kalman filter (EKF) SLAM to increase UAV position and attitude data and to construct 3D terrain maps using a small monocular camera. We propose 3D measurement based on scale-invariant feature transform (SIFT) triangulation features extracted from captured images. Field-experiment results show that our proposal effectively estimates U AV position and attitude of the U AV and construct the 3D terrain map.

本文言語English
ホスト出版物のタイトルSICE 2011 - SICE Annual Conference 2011, Final Program and Abstracts
出版社Society of Instrument and Control Engineers (SICE)
ページ1656-1659
ページ数4
ISBN(印刷版)9784907764395
出版ステータスPublished - 2011 1 1
イベント50th Annual Conference on Society of Instrument and Control Engineers, SICE 2011 - Tokyo, Japan
継続期間: 2011 9 132011 9 18

出版物シリーズ

名前Proceedings of the SICE Annual Conference

Other

Other50th Annual Conference on Society of Instrument and Control Engineers, SICE 2011
国/地域Japan
CityTokyo
Period11/9/1311/9/18

ASJC Scopus subject areas

  • 制御およびシステム工学
  • コンピュータ サイエンスの応用
  • 電子工学および電気工学

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