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A system to navigate a robot into a ship structure
Authors:Markus Vincze  Minu Ayromlou  Carlos Beltran  Antonios Gasteratos  Simon Hoffgaard  Ole Madsen  Wolfgang Ponweiser  Michael Zillich
Affiliation:(1) Automation and Control Institute ACIN, Vienna University of Technology, Gusshausstrasse 27–29/361, 1040 Vienna, Austria; e-mail: vincze@acin.tuwien.ac.at , AT;(2) Aalborg University, Department of Production, 9220 Aalborg, Denmark , DK;(3) Laboratory for Integrated Advanced Robotics, LIRA, University of Genova, 16145 Genova, Italy , IT
Abstract:Abstract. A prototype system has been built to navigate a walking robot into a ship structure. The 8-legged robot is equipped with an active stereo head. From the CAD-model of the ship good view points are selected, such that the head can look at locations with sufficient edge features, which are extracted automatically for each view. The pose of the robot is estimated from the features detected by two vision approaches. One approach searches in stereo images for junctions and measures the 3-D position. The other method uses monocular image and tracks 2-D edge features. Robust tracking is achieved with a method of edge projected integration of cues (EPIC). Two inclinometres are used to stabilise the head while the robot moves. The results of the final demonstration to navigate the robot within centimetre accuracy are given.
Keywords:: Navigation –  Ship building application –  Computer vision –  Model-based tracking
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