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Proceedings Paper

Augmented reality for mining teleoperation
Author(s): Andrew J. Park; Rick N. Kazman
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Paper Abstract

Automated mining has been proposed as a solution to reducing mining costs associated with labor and development. Quite simply, no-one will need to work underground. A series of special-purpose mining vehicles is currently being designed for both semi-autonomous operation and teleoperation. A preliminary implementation at INCO's North Mine complex in Copper Cliff, Ontario, Canada, has met with great success. Improvements are required, however, in the presentation and integration of feedback from the remotely operated vehicle due to the poor video image quality. Depth cues in particular have been found to be deficient. Work currently underway at the University of Waterloo involves the development of a graphics engine responsible for the integration and rendering of data from various sources including: live video (analog and/or digital), range-finding data, an intelligent vision system, CAD mine models, and supervisory control and data acquisition systems. Graphical overlays on a live video feed are being examined as a means of enhancing and augmenting the human operator's visual input. We are investigating a tool-set which addresses the requirements of teleoperation in the context of a mining environment. This includes the integration of data from a number of different sources for the purpose of interactive mine planning and operation.

Paper Details

Date Published: 21 December 1995
PDF: 11 pages
Proc. SPIE 2351, Telemanipulator and Telepresence Technologies, (21 December 1995); doi: 10.1117/12.197304
Show Author Affiliations
Andrew J. Park, Univ. of Waterloo (Canada)
Rick N. Kazman, Univ. of Waterloo (Canada)

Published in SPIE Proceedings Vol. 2351:
Telemanipulator and Telepresence Technologies
Hari Das, Editor(s)

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