Title :
Visual pose estimation for shipboard landing of autonomous parafoils
Author :
Hewgley, Charles W. ; Cristi, Roberto ; Yakimenko, Oleg A.
Author_Institution :
Dept. of Electr. & Comput. Eng., United States Naval Acad., Annapolis, MD, USA
Abstract :
This paper outlines an investigation into the use of a simple, focal-plane imaging sensor for guidance of an autonomous parafoil system for approach and landing on a moving platform such as a ship underway. The perspective-projective transformation between an object in a three-dimensional world and an image on a two-dimensional plane is analyzed and then formulated using a homogeneous coordinate system. The estimation problem is addressed; specifically, the challenge of dealing with the out-of-frame condition due to parafoil oscillation as it approaches the target. A dual-mode Kalman estimation-scheme is proposed that suspends measurement when the target is out-of-frame, and incorporates a two-view measurement when the target reenters the frame.
Keywords :
Kalman filters; image sensors; pose estimation; autonomous parafoil system; dual-mode Kalman estimation-scheme; focal-plane imaging sensor; homogeneous coordinate system; perspective-projective transformation; shipboard landing; three-dimensional world; two-dimensional plane; visual pose estimation; Marine vehicles; Observers; Sea measurements; Sea surface; Vectors; Visualization; robot; small UAV; vision;
Conference_Titel :
Position, Location and Navigation Symposium - PLANS 2014, 2014 IEEE/ION
Conference_Location :
Monterey, CA
Print_ISBN :
978-1-4799-3319-8
DOI :
10.1109/PLANS.2014.6851505