Real-time 3D Mine Modelling in the !VAMOS! Project. Bleier, M., Dias, A., Ferreira, A., Pidgeon, J., Almeida, J., Silva, E., Schilling, K., & Nüchter, A. In Buxton, M. & Benndorf, J., editors, Real Time Mining, pages 91–102, Amsterdam, The Netherlands, October, 2017. Technische Universität Bergakademie Freiberg, Institut für Markscheidewesen und Geodäsie. Paper abstract bibtex The project Viable Alternative Mine Operating System (¡VAMOS!) develops a new safe, clean and low visibility mining technique for excavating raw materials from submerged inland mines. During operations, the perception data of the mining vehicle can only be communicated to the operator via a computer interface. In order to assist remote control and facilitate assessing risks a detailed view of the mining process below the water surface is necessary. This paper presents approaches to real-time 3D reconstruction of the mining environment for immersive data visualisation in a virtual reality environment to provide advanced spatial awareness. From the raw survey data a more consistent 3D model is created using post-processing techniques based on a continuous-time simultaneous localization and mapping (SLAM) solution. Signed distance function (SDF) based mapping is employed to fuse the measurements from multiple views into a single representation and reduce sensor noise. Results of the proposed techniques are demonstrated on a dataset captured in an sub- merged inland mine.
@inproceedings{RTM2017,
abstract = {The project Viable Alternative Mine Operating System
(\textexclamdown VAMOS!) develops a new safe, clean
and low visibility mining technique for excavating
raw materials from submerged inland mines. During
operations, the perception data of the mining
vehicle can only be communicated to the operator via
a computer interface. In order to assist remote
control and facilitate assessing risks a detailed
view of the mining process below the water surface
is necessary. This paper presents approaches to
real-time 3D reconstruction of the mining
environment for immersive data visualisation in a
virtual reality environment to provide advanced
spatial awareness. From the raw survey data a more
consistent 3D model is created using post-processing
techniques based on a continuous-time simultaneous
localization and mapping (SLAM) solution. Signed
distance function (SDF) based mapping is employed to
fuse the measurements from multiple views into a
single representation and reduce sensor noise.
Results of the proposed techniques are demonstrated
on a dataset captured in an sub- merged inland
mine.},
added-at = {2017-11-08T15:05:44.000+0100},
address = {Amsterdam, The Netherlands},
author = {Bleier, M. and Dias, A. and Ferreira, A. and Pidgeon, J. and Almeida, J. and Silva, E. and Schilling, K. and N{\"u}chter, A.},
biburl = {https://www.bibsonomy.org/bibtex/2b585b2baf5fa40bc17814198cbc47ffe/nuechter76},
booktitle = {Real Time Mining},
editor = {Buxton, M. and Benndorf, J.},
interhash = {84fcc33c5f620ef3f45021ae3c7deae7},
intrahash = {b585b2baf5fa40bc17814198cbc47ffe},
keywords = {imported},
month = {October},
pages = {91--102},
publisher = {Technische Universität Bergakademie Freiberg, Institut für Markscheidewesen und Geodäsie},
timestamp = {2018-05-31T19:49:19.000+0200},
title = {{Real-time 3D Mine Modelling in the !VAMOS! Project}},
url = {https://robotik.informatik.uni-wuerzburg.de/telematics/download/rtm2017.pdf},
year = 2017
}
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