NDLI: An Approach Toward Visual Autonomous Ship Board Landing of a VTOL UAV

Content Provider	Springer Nature Link
Author	Sanchez Lopez, Jose Luis Pestana, Jesus Saripalli, Srikanth Campoy, Pascual
Copyright Year	2013
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.
Starting Page	113
Ending Page	127
Page Count	15
File Format	PDF
ISSN	09210296
Journal	Journal of Intelligent & Robotic Systems
Volume Number	74
Issue Number	1-2
e-ISSN	15730409
Language	English
Publisher	Springer Netherlands
Publisher Date	2013-10-05
Publisher Place	Dordrecht
Access Restriction	Subscribed
Subject Keyword	UAV VTOL Autonomous landing Computer vision Ship deck simulation Control, Robotics, Mechatronics Electrical Engineering Artificial Intelligence (incl. Robotics) Mechanical Engineering
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Artificial Intelligence Control and Systems Engineering Mechanical Engineering Electrical and Electronic Engineering Software

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