A System for Three-Dimensional Robotic Mapping of Underground Mines
Dirk Haehnel, Rudolph Triebel, Wolfram Burgard, William Whittaker, Sebastian Thrun
- Year
- 2002
- Citations
- 6
Abstract
The authors describe two robotic systems for acquiring high-resolution volumetric maps of underground mines. Their systems have been deployed in an operational coal mine in Bruceton, Pennsylvania, where they have been used to generate interactive 3-dimensional maps. Their approach includes a novel sensor head assembled from multiple SICK laser range finders, and a real-time algorithm for scan matching that generates accurate volumetric maps. The scan matching algorithm performs horizontal and vertical simultaneous localization and mapping (SLAM). Data from the horizontal scans is used to remove artifacts in the vertical scans, and vice versa. The system can construct full 3-dimensional volumetric maps hundreds of meters in diameter, even when no odometry information is available.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002