Acknowledgement
This project was funded by Korea Mine Rehabilitation and Mineral Resources Corporation (Komir) and is currently supported by the publication grant.
References
- Durrant-Whyte, H. and Bailey, T., 2006, Simultaneous localization and mapping: part I, IEEE Robotics & Automation magazine, 13(2), 99-110. https://doi.org/10.1109/MRA.2006.1638022
- Fekete, S., Diederichs, M., and Lato, M. 2010, Geotechnical and operational applications for 3-dimensional laser scanning in drill and blast tunnels, Tunnelling and Underground Space Technology, 25(5), 614-628. https://doi.org/10.1016/j.tust.2010.04.008
- Garcia-Gomez, P., Royo, S., Rodrigo, N., and Casas, J.R., 2020, Geometric model and calibration method for solid-state lidar, Senosrs, 20(10), 2898.
- Ghosh, D., Samanta, B., and Chakravarty, D., 2017, Multi sensor data fusion for 6D pose estimation and 3D underground mine mapping using autonomous mobile robot, International Journal of Image and Data Fusion, 8(2), 173-187. https://doi.org/10.1080/19479832.2016.1226966
- Hong, G.W., Kim, S.M., and Park, J.J., 2022, A study on the calculation of cavity filling amount using ground penetrating radar and cavity shaping equipment, J. Soc. Disaster Information, 18(2), 261-268.
- Jeon, S.W. and Jeon, B.K., 2014, Review on the prevention and reclamation of mining induced subsidence in abandoned mine areas in the Republic of Korea, J. Korean Soc. Miner. Energy Resour. Eng., 51(1), 141-150. https://doi.org/10.12972/ksmer.2014.51.1.141
- Kim, H.M. and Choi, Y.S., 2019, Review of Autonomous Driving Technology Utilized in Underground Mines, J. Korean Soc. Miner. Energy Resour. Eng., 56(5), 480-489. https://doi.org/10.32390/ksmer.2019.56.5.480
- Kim, S.L., Bak, G.I., and Baek, S.H., 2021, Application of underground caivty 3d digitization and figuration technology to underground safety industry, J. Korean Soc. Miner. Energy Resour. Eng., 58(4), 364-370. https://doi.org/10.32390/ksmer.2021.58.4.364
- Kim, S.L., Choi, J.S., Yoon, H.G., and Kim, S.W., 2022, Fabrication of three-dimensional scanning system for inspection of mineshaft using multichannel lidar, Tunnel and Underground Space 32(6), 451-463. https://doi.org/10.7474/TUS.2022.32.6.451
- Kim, S.L., Pak, J.H., Lee, J.S., Yang, I.J., and Kim, S.W., 2020a, Towing-type high-speed three-dimensional shaping and method for sinkholes and underground cavities, Korea Patent, 10-2205218.
- Kim, S.L., Yoon, H.G., and Kim, S.W., 2020b, Fabrication of three-dimensional scanning system for inspection of massive sinkhole disaster sites, J. of Korea Robotics Society, 15(4), 341-349. https://doi.org/10.7746/jkros.2020.15.4.341
- Kim, S.W. and Kim, S.Y., 2010, Analysis of cross-borehole pulse radar signatures measured at various tunnel angle, Exploration Geophysics, 41(1), 96-101. https://doi.org/10.1071/EG09048
- Neumann, T., Ferrein, A., Kallweit, S., and Scholl, I., 2014, Towards a mobile mapping robot for underground mines, Proceedings of the 2014 PRASA, RobMech and AfLaT International Joint Symposium, 27-32.
- Singh, S.K., Banerjee, B.P., and Raval, S., 2023, A review of laser scanning for geological and geotechnical applications in underground mining, International Journal of Mining Science and Technology, 33(2), 133-154. https://doi.org/10.1016/j.ijmst.2022.09.022
- Singh, S.K., Raval, S., and Banerjee, B., 2021, A robust approach to identify roof bolts in 3D point cloud data captured from a mobile laser scanner, International Journal of Mining Science and Technology, 31(2), 303-312. https://doi.org/10.1016/j.ijmst.2021.01.001
- Tatsch, C., Bredu, J.A., Covell, D., Tulu, I.B., and Gu, Y. 2023, Rhino: An Autonomous Robot for Mapping Underground Mine Environments, 2023 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), 1166-1173.
- Zlot, R., and Bosse, M. 2013, Efficient large-scale 3D mobile mapping and surface reconstruction of an underground mine, Field and Service Robotics, 8th International Conference, 479-493.