Title :
Visual-based guiding method for unmanned helicopter approaching to landmark
Author :
Hsia, Kuo-Hsien ; Lien, Shao-Fan ; Su, Juhng-Perng
Author_Institution :
Dept. of Manage. Inf. Syst., Far East Univ., Tainan, Taiwan
Abstract :
This paper proposes an image-guided method for estimating the position of an AUH (autonomous unmanned helicopter) from one captured landmark image. The proposed method is intended for application as auxiliary information for the guidance of an AUH during approach of a landmark based landing. The relation between the camera position and landmark image can be analyzed by projective geometry with the provision of sufficient landmark features. ANFIS is utilized for establishing the mapping relation and establishing a fuzzy model for efficient camera position estimation. The proposed method provides a highly accurate method of AUH guidance during landmark approach.
Keywords :
aircraft landing guidance; cameras; feature extraction; fuzzy set theory; helicopters; motion estimation; remotely operated vehicles; ANFIS; AUH; autonomous unmanned helicopter; camera position estimation; fuzzy model; image-guided method; landing guidance; landmark features; landmark image; projective geometry; visual based guiding method; Cameras; Estimation; Feature extraction; Geometry; Global Positioning System; Helicopters; Image segmentation; ANFIS; camera position estimation; incomplete landmark image; visual-based guiding;
Conference_Titel :
Fuzzy Systems (FUZZ), 2011 IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-7315-1
Electronic_ISBN :
1098-7584
DOI :
10.1109/FUZZY.2011.6007427