2026-09-19T16:55:55Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1137652022-01-13T07:54:05Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Kamal Youcef-Toumi.
Cunha, Fernando F
Massachusetts Institute of Technology. Department of Mechanical Engineering.
Massachusetts Institute of Technology. Department of Mechanical Engineering
2018-02-16T20:04:55Z
2018-02-16T20:04:55Z
2017
2017
http://hdl.handle.net/1721.1/113765
1022269788
Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2017.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 105-107).
Coal mines pose a high safety risk for human workers. An autonomous inspection drone would enable a coal mine operation to reduce this risk by minimizing the time spent by workers inside the mine. This inspection drone must be highly robust to the harsh environment of an underground coal mine, with high levels of coal dust and humidity that can obstruct many conventional sensing methods. For high functionality, the drone must sense and avoid potential obstacles and as well as inspect and map the mining wall face. The objective of this paper is to present ultra-wideband (UWB) radar as a robust sensing solution to this challenging environment and validate its performance in the typical coal mine environment, both statically and dynamically.
by Fernando Fleury Pereira Cunha.
S.M.
107 pages
eng
Massachusetts Institute of Technology
MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
http://dspace.mit.edu/handle/1721.1/7582
Mechanical Engineering.
Ultra-wideband radar for robust inspection drone in underground coal mines
UWB radar for robust inspection drone in underground coal mines
Thesis
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Publication
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<Abstract>Coal mines pose a high safety risk for human workers. An autonomous inspection drone would enable a coal mine operation to reduce this risk by minimizing the time spent by workers inside the mine. This inspection drone must be highly robust to the harsh environment of an underground coal mine, with high levels of coal dust and humidity that can obstruct many conventional sensing methods. For high functionality, the drone must sense and avoid potential obstacles and as well as inspect and map the mining wall face. The objective of this paper is to present ultra-wideband (UWB) radar as a robust sensing solution to this challenging environment and validate its performance in the typical coal mine environment, both statically and dynamically.</Abstract>
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