Title
An Approach Toward Visual Autonomous Ship Board Landing of a VTOL UAV
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.
Year
DOI
Venue
2014
10.1007/s10846-013-9926-3
Journal of Intelligent and Robotic Systems
Keywords
Field
DocType
UAV,VTOL,Autonomous landing,Computer vision,Ship deck simulation
Machine vision,Testbed,Six degrees of freedom,Vision based,Control engineering,Robustness (computer science),Kalman filter,Engineering
Journal
Volume
Issue
ISSN
74
1-2
0921-0296
Citations 
PageRank 
References 
16
0.80
9
Authors
4
Name
Order
Citations
PageRank
Jose Luis Sanchez-Lopez110510.32
Jesus Pestana2645.41
Srikanth Saripalli356460.11
Pascual Campoy443646.75