The Robotics Institute
Search the site
RI | Publications | Position Estimator for Underground Mine Equipment

Text only version of this site

Position Estimator for Underground Mine Equipment
G. Shaffer, A. Stentz, W.L. Whittaker, and K. Fitzpatrick
IEEE Transactions on Industry Applications, Vol. 28, No. 5, September, 1992, pp. 1131 - 1140.

Jump to: Download | Abstract | Text Reference | BibTeX Reference

Download [Help]

Adobe portable document format (pdf) [949 KB]

Copyright notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.

Abstract

A 2-D perception system that exploits the accuracy and resolution of a laser range sensor to determine the position and orientation of a mobile robot in a mine environment is described. The perception system detects features from range sensor data and matches the features to a map of the mine to compute the sensor position. The features used are line segments and corners, which represent the typical geometry of the mine walls and intersections found in room-and-pillar-type mining. The position estimate is refined by minimizing the error between the map and sensed features. This position information can be used for autonomous navigation when a map of the mine is available or to survey the mine in order to build such a map. The technique is applied to robot navigation in a mine mockup. A refinement of this system could guide machines to yield productive, safe mining operations.

Text Reference

G. Shaffer, A. Stentz, W.L. Whittaker, and K. Fitzpatrick, "Position Estimator for Underground Mine Equipment," IEEE Transactions on Industry Applications, Vol. 28, No. 5, September, 1992, pp. 1131 - 1140.

BibTeX Reference

@article{Shaffer_1992_1196,
   author = "Gary Shaffer and Anthony (Tony) Stentz and William Red L. Whittaker and Kerien Fitzpatrick",
   title = "Position Estimator for Underground Mine Equipment",
   journal = "IEEE Transactions on Industry Applications",
   month = "September",
   year = "1992",
   volume = "28",
   number = "5",
   pages = "1131 - 1140"
}


The Robotics Institute is part of the School of Computer Science, Carnegie Mellon University.
For updates and comments, please see these instructions.
This page maintained by robotwebmaster@ri.cmu.edu