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dc.contributor.authorMoghaddam, Fatemeh
dc.contributor.supervisorDavid Beltonen_US
dc.contributor.supervisorPetra Helmholzen_US
dc.contributor.supervisorDavid McMeekinen_US
dc.date.accessioned2023-06-09T06:32:36Z
dc.date.available2023-06-09T06:32:36Z
dc.date.issued2022en_US
dc.identifier.urihttp://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.publisherCurtin Universityen_US
dc.titleSensors Utilisation and Data Collection of Underground Miningen_US
dc.typeThesisen_US
dcterms.educationLevelMPhilen_US
curtin.departmentSchool of Earth and Planetary Sciencesen_US
curtin.accessStatusOpen accessen_US
curtin.facultyScience and Engineeringen_US
curtin.contributor.orcidMoghaddam, Fatemeh [0000-0002-4634-9844]en_US


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