Real-Time Machine Guidance with Tracking Cameras

By Klaus Chmelina, Egmont Lammer, Annette Mossel, and Hannes Kaufmann

Abstract

Mining and tunneling processes are more and more automatized, mechanized and speeded up. Machines, such as roadheaders, jumbos, dredgers, loaders etc. contribute to significant cost reductions and the increase of safety and efficiency of underground works. For an efficient control of these machines the continuous and precise determination of their absolute 3D position and orientation in the underground space is mandatory. To further increase the current degree of automation of mining and tunneling machinery, a new survey technology is currently researched in the European FP7 research project I2Mine (2011-2015). The technology is based on infrared tracking cameras that measure to infrared LEDs (light-emitting diodes) mounted on machines and tools. The contribution describes the technology, the developed first prototype system and the tests that have been carried out.

Reference

K. Chmelina, E. Lammer, A. Mossel, H. Kaufmann: "Real-Time Machine Guidance with Tracking Cameras"; in: "Proceeding of the 6th International Symposium High Performance Mining", issued by: RWTH Aaachen; Druckservice Zillekens, Aachen, Germany, 2014, 978-3-941277-2050, 679 - 687.

BibTeX

@inproceedings{TUW-227724, author = {Chmelina, Klaus and Lammer, Egmont and Mossel, Annette and Kaufmann, Hannes}, title = {Real-Time Machine Guidance with Tracking Cameras}, booktitle = {Proceeding of the 6th International Symposium High Performance Mining}, year = {2014}, pages = {679--687}, organization = {RWTH Aaachen}, publisher = {Druckservice Zillekens}, address = {Aachen, Germany}, keywords = {Optical Tracking, Wide-Area, Machine Guidance} } Click into the text area and press Ctrl+A/Ctrl+C or ⌘+A/⌘+C to copy the BibTeX into your clipboard… or download the BibTeX.