Title :
Infrastructure-free shipdeck tracking for autonomous landing
Author :
Arora, Samarth ; Jain, Sonal ; Scherer, Stefan ; Nuske, Stephen ; Chamberlain, Lyle ; Singh, Sushil
Author_Institution :
Robot. Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
Abstract :
Shipdeck landing is one of the most challenging tasks for a rotorcraft. Current autonomous rotorcraft use shipdeck mounted transponders to measure the relative pose of the vehicle to the landing pad. This tracking system is not only expensive but renders an unequipped ship unlandable. We address the challenge of tracking a shipdeck without additional infrastructure on the deck. We present two methods based on video and lidar that are able to track the shipdeck starting at a considerable distance from the ship. This redundant sensor design enables us to have two independent tracking systems. We show the results of the tracking algorithms in three different environments - field testing results on actual helicopter flights, in simulation with a moving shipdeck for lidar based tracking and in laboratory using an occluded, and, moving scaled model of a landing deck for camera based tracking. The complimentary modalities allow shipdeck tracking under varying conditions.
Keywords :
aircraft landing guidance; autonomous aerial vehicles; helicopters; image sensors; mobile robots; object tracking; optical radar; robot vision; ships; actual helicopter flights; autonomous landing; autonomous rotorcraft; camera based tracking; field testing; infrastructure-free shipdeck tracking; lidar based tracking; redundant sensor design; relative pose measurement; shipdeck landing; shipdeck mounted transponders; Cameras; Global Positioning System; Helicopters; Laser radar; Marine vehicles; Radar tracking; Tracking;
Conference_Titel :
Robotics and Automation (ICRA), 2013 IEEE International Conference on
Conference_Location :
Karlsruhe
Print_ISBN :
978-1-4673-5641-1
DOI :
10.1109/ICRA.2013.6630595