An Approach Toward Visual Autonomous Ship Board Landing of a VTOL UAV Academic Article

abstract

• We present the design and implementation of a vision based autonomous landing algorithm using a downward looking camera. To demonstrate the efficacy of our algorithms we emulate the dynamics of the ship-deck, for various sea states and different ships using a six degrees of freedom motion platform. We then present the design and implementation of our robust computer vision system to measure the pose of the shipdeck with respect to the vehicle. A Kalman filter is used in conjunction with our vision system to ensure the robustness of the estimates. We demonstrate the accuracy and robustness of our system to occlusions, variation in intensity, etc. using our testbed. 2013 Springer Science+Business Media Dordrecht.

authors

• Saripalli, Srikanth

published proceedings

• JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS

author list (cited authors)

• Luis Sanchez-Lopez, J., Pestana, J., Saripalli, S., & Campoy, P.

citation count

• 66

complete list of authors

• Luis Sanchez-Lopez, Jose||Pestana, Jesus||Saripalli, Srikanth||Campoy, Pascual

publication date

• April 2014

publisher

• Springer Nature  Publisher

published in

• Journal of Intelligent and Robotic Systems: theory and applications  Journal

keywords

• Autonomous Landing
• Computer Vision
• Ship Deck Simulation
• Uav
• Vtol

Digital Object Identifier (DOI)

• 10.1007/s10846-013-9926-3

start page

• 113

end page

• 127

volume

• 74

issue

• 1-2

URL

• http://dx.doi.org/10.1007/s10846-013-9926-3