Sensors Utilisation and Data Collection of Underground Mining
dc.contributor.author | Moghaddam, Fatemeh | |
dc.contributor.supervisor | David Belton | en_US |
dc.contributor.supervisor | Petra Helmholz | en_US |
dc.contributor.supervisor | David McMeekin | en_US |
dc.date.accessioned | 2023-06-09T06:32:36Z | |
dc.date.available | 2023-06-09T06:32:36Z | |
dc.date.issued | 2022 | en_US |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/92353 | |
dc.description.abstract |
This study reviews IMU significance and performance for underground mine drone localisation. This research has designed a Kalman filter which extracts reliable information from raw data. Kalman filter for INS combines different measurements considering estimated errors to produce a trajectory including time, position and attitude. To evaluate the feasibility of the proposed method, a prototype has been designed and evaluated. Experimental results indicate that the designed Kalman filter estimates the internal states of a system. | en_US |
dc.publisher | Curtin University | en_US |
dc.title | Sensors Utilisation and Data Collection of Underground Mining | en_US |
dc.type | Thesis | en_US |
dcterms.educationLevel | MPhil | en_US |
curtin.department | School of Earth and Planetary Sciences | en_US |
curtin.accessStatus | Open access | en_US |
curtin.faculty | Science and Engineering | en_US |
curtin.contributor.orcid | Moghaddam, Fatemeh [0000-0002-4634-9844] | en_US |