Sensors Utilisation and Data Collection of Underground Mining

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 includ...

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Main Author: Moghaddam, Fatemeh
Format: Thesis
Published: Curtin University 2022
Online Access:http://hdl.handle.net/20.500.11937/92353
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author Moghaddam, Fatemeh
author_facet Moghaddam, Fatemeh
author_sort Moghaddam, Fatemeh
building Curtin Institutional Repository
collection Online Access
description 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.
first_indexed 2025-11-14T11:38:26Z
format Thesis
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institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T11:38:26Z
publishDate 2022
publisher Curtin University
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spelling curtin-20.500.11937-923532023-06-09T06:32:36Z Sensors Utilisation and Data Collection of Underground Mining Moghaddam, Fatemeh 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. 2022 Thesis http://hdl.handle.net/20.500.11937/92353 Curtin University fulltext
spellingShingle Moghaddam, Fatemeh
Sensors Utilisation and Data Collection of Underground Mining
title Sensors Utilisation and Data Collection of Underground Mining
title_full Sensors Utilisation and Data Collection of Underground Mining
title_fullStr Sensors Utilisation and Data Collection of Underground Mining
title_full_unstemmed Sensors Utilisation and Data Collection of Underground Mining
title_short Sensors Utilisation and Data Collection of Underground Mining
title_sort sensors utilisation and data collection of underground mining
url http://hdl.handle.net/20.500.11937/92353