Toward Visual Autonomous Ship Board Landing of a VTOL UAV


Autoria(s): Sánchez López, José Luis; Saripalli, Srikanth; Campoy Cervera, Pascual; Pestana Puerta, Jesús; Fu, Changhong
Data(s)

2013

Resumo

In this paper we tackle the problem of landing a helicopter autonomously on a ship deck, using as the main sensor, an on-board colour camera. To create a test-bed, we first adequately simulate the movement of a ship landing platform on the Sea, for different Sea States, for different ships, randomly and realistically enough. We use a commercial parallel robot to get this movement. Once we had this, we developed an accurate and robust computer vision system to measure the pose of the helipad with respect to the on-board camera. To deal with the noise and the possible fails of the computer vision, a state estimator was created. With all of this, we are now able to develop and test a controller that closes the loop and finish the autonomous landing task.

Formato

application/pdf

Identificador

http://oa.upm.es/37647/

Idioma(s)

eng

Publicador

E.T.S.I. Industriales (UPM)

Relação

http://oa.upm.es/37647/1/INVE_MEM_2013_200177.pdf

http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?reload=true&punumber=6552462

DPI2010- 20751-C02-01

Direitos

http://creativecommons.org/licenses/by-nc-nd/3.0/es/

info:eu-repo/semantics/openAccess

Fonte

2013 International Conference on Unmanned Aircraft Systems (ICUAS) | 2013 International Conference on Unmanned Aircraft Systems (ICUAS) | May 29-31, 2013 | Atlanta, Georgia, USA

Palavras-Chave #Psicología #Robótica e Informática Industrial
Tipo

info:eu-repo/semantics/conferenceObject

Ponencia en Congreso o Jornada

PeerReviewed