Robotic Mapping of Underground Drift Networks

It is well known in the robotics community that the ability to determine the position of vehicles in real time is a key enabling technology required for automation, traffic management, and to ensure safety in the presence of multiple vehicles. Because of this, the introduction of global positioning systems (GPS) has had a remarkable impact on the surface mining industry, enabling real-time tracking of mobile assets, improved safety, and production optimization. Unfortunately, satellite-based GPS is not available underground. This paper reports on the preliminary results of a study to develop a robust method for globally consistent mapping of large-scale underground mine environments. We believe that this may additionally become the first step towards the development of a novel underground positioning technology. Presented are preliminary results from data collected at two underground mines using an Atlas Copco ST14 LHD machine.