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

Authors:
Jose Luis Sanchez-Lopez;Jesus Pestana;Srikanth Saripalli;Pascual Campoy
Affiliations:
Computer Vision Group, Centre for Automation and Robotics, CSIC-UPM, Madrid, Spain 28006;Computer Vision Group, Centre for Automation and Robotics, CSIC-UPM, Madrid, Spain 28006;ASTRIL, SESE - Arizona State University, Tempe, USA 85287;Computer Vision Group, Centre for Automation and Robotics, CSIC-UPM, Madrid, Spain 28006
Venue:
Journal of Intelligent and Robotic Systems
Year:
2014

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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.