Result: Terminal phase vision-based target recognition and 3D pose estimation for a tail-sitter, vertical takeoff and landing unmanned air vehicle
Title:
Terminal phase vision-based target recognition and 3D pose estimation for a tail-sitter, vertical takeoff and landing unmanned air vehicle
Authors:
Source:
Advances in image and video technology (First pacific rim symposium, PSIVT 2006, Hsinchu, Taiwan, December 10-13, 2006)0PSIVT 2006. :672-681
Publisher Information:
Berlin; Heidelberg: Springer, 2006.
Publication Year:
2006
Physical Description:
print, 12 ref 1
Original Material:
INIST-CNRS
Subject Terms:
Computer science, Informatique, Optics, Optique, Telecommunications, Télécommunications, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Intelligence artificielle, Artificial intelligence, Reconnaissance des formes. Traitement numérique des images. Géométrie algorithmique, Pattern recognition. Digital image processing. Computational geometry, Atterrissage, Landing, Aterrizaje, Attitude, Actitud, Détection cible, Target detection, Detección blanco, Invariant moment, Moment invariant, Invariante momento, Posture, Postura, Reconnaissance forme, Pattern recognition, Reconocimiento patrón, Système autonome, Autonomous system, Sistema autónomo, Terminal, Traitement image, Image processing, Procesamiento imagen, Vision ordinateur, Computer vision, Visión ordenador, Vol, Flight, Vuelo, Engin terrestre autonome, Unmanned ground vehicle, Máquina autónoma terrestre
Document Type:
Conference
Conference Paper
File Description:
text
Language:
English
Author Affiliations:
School of Aerospace, Mechanical and Mechatronic Engineering, University of Sydney, N.S.W., 2006, Australia
ISSN:
0302-9743
Rights:
Copyright 2007 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.19008275
Database:
PASCAL Archive
Further Information
This paper presents an approach to accurately identify landing targets and obtain 3D pose estimates for vertical takeoff and landing unmanned air vehicles via computer vision methods. The objective of this paper is to detect and recognize a pre-known landing target and from that landing target obtain the 3D attitude information of the flight vehicle with respect to the landing target using a single image. The Hu's invariant moments' theorem is used for target identification and parallel lines of the target shape are investigated to obtain the flight vehicle orientation. Testing of the proposed methods is carried out on flight images obtained from a camera onboard a tail-sitter, vertical takeoff and landing unmanned air vehicle.