DocumentCode
141111
Title
Autonomous Maritime Landings for Low-Cost VTOL Aerial Vehicles
Author
Ling, Kathy ; Chow, Derek ; Das, Aruneema ; Waslander, S.L.
Author_Institution
Dept. of Mech. & Mechatron. Eng., Univ. of Waterloo, Waterloo, ON, Canada
fYear
2014
fDate
6-9 May 2014
Firstpage
32
Lastpage
39
Abstract
Autonomous landing of quad rotor UAV on a maritime vessel is a challenging task, as low cost sensors, unknown movements of the landing surface, and external disturbances make it difficult to generate a relative pose estimate with sufficient accuracy for landing. In this work, we propose an architecture that avoids sensor limitations while allowing for accurate relative pose estimation, even in the presence of wind disturbances. The final landing sequence is performed entirely in the body-fixed inertial frame so that noisy measurements from the GPS and magnetometer sensors do not degrade the relative estimation accuracy. Simulation results of the entire system architecture are presented, as well as experimental results of visual landing pad tracking for representative motions, which demonstrate the validity of the approach.
Keywords
autonomous aerial vehicles; helicopters; image motion analysis; mobile robots; object tracking; pose estimation; robot vision; sensors; GPS sensor; Global Positioning System; autonomous maritime landings; body-fixed inertial frame; landing sequence; landing surface; low cost sensors; low-cost VTOL aerial vehicles; magnetometer sensors; maritime vessel; pose estimation; quadrotor UAV; representative motions; vertical take-off and landing vehicles; visual landing pad tracking; wind disturbance; Cameras; Estimation; Global Positioning System; Marine vehicles; Sensors; Vectors; Vehicles; autonomous landing; mobile robotics; quadrotor; target-tracking; vision;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Robot Vision (CRV), 2014 Canadian Conference on
Conference_Location
Montreal, QC
Print_ISBN
978-1-4799-4338-8
Type
conf
DOI
10.1109/CRV.2014.13
Filename
6816821
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