Localisation and navigation in GPS-denied environments using RFID tags
dc.contributor.advisor | Verrinder, Robyn A | en_ZA |
dc.contributor.advisor | Sabatta, Deon | en_ZA |
dc.contributor.advisor | Shahdi, Ali | en_ZA |
dc.contributor.author | James, Sisa | en_ZA |
dc.date.accessioned | 2015-07-02T08:35:57Z | |
dc.date.available | 2015-07-02T08:35:57Z | |
dc.date.issued | 2014 | en_ZA |
dc.description | Includes bibliographical references. | en_ZA |
dc.description.abstract | This dissertation addresses the autonomous localisation and navigation problem in the context of an underground mining environment. This kind of environment has little or no features as well as no access to GPS or stationary towers, which are usually used for navigation. In addition dust and debris may hinder optical methods for ranging. This study looks at the feasibility of using randomly distributed RFID tags to autonomously navigate in this environment. Clustering of observed tags are used for localisation, subsequently value iteration is used to navigate to a defined goal. Results are presented, concluding that it is feasible to localise and navigate using only RFID tags, in simulation. Localisation feasibility is also confirmed by experimental measurements. | en_ZA |
dc.identifier.apacitation | James, S. (2014). <i>Localisation and navigation in GPS-denied environments using RFID tags</i>. (Thesis). University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Mechanical Engineering. Retrieved from http://hdl.handle.net/11427/13281 | en_ZA |
dc.identifier.chicagocitation | James, Sisa. <i>"Localisation and navigation in GPS-denied environments using RFID tags."</i> Thesis., University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Mechanical Engineering, 2014. http://hdl.handle.net/11427/13281 | en_ZA |
dc.identifier.citation | James, S. 2014. Localisation and navigation in GPS-denied environments using RFID tags. University of Cape Town. | en_ZA |
dc.identifier.ris | TY - Thesis / Dissertation AU - James, Sisa AB - This dissertation addresses the autonomous localisation and navigation problem in the context of an underground mining environment. This kind of environment has little or no features as well as no access to GPS or stationary towers, which are usually used for navigation. In addition dust and debris may hinder optical methods for ranging. This study looks at the feasibility of using randomly distributed RFID tags to autonomously navigate in this environment. Clustering of observed tags are used for localisation, subsequently value iteration is used to navigate to a defined goal. Results are presented, concluding that it is feasible to localise and navigate using only RFID tags, in simulation. Localisation feasibility is also confirmed by experimental measurements. DA - 2014 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2014 T1 - Localisation and navigation in GPS-denied environments using RFID tags TI - Localisation and navigation in GPS-denied environments using RFID tags UR - http://hdl.handle.net/11427/13281 ER - | en_ZA |
dc.identifier.uri | http://hdl.handle.net/11427/13281 | |
dc.identifier.vancouvercitation | James S. Localisation and navigation in GPS-denied environments using RFID tags. [Thesis]. University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Mechanical Engineering, 2014 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/13281 | en_ZA |
dc.language.iso | eng | en_ZA |
dc.publisher.department | Department of Mechanical Engineering | en_ZA |
dc.publisher.faculty | Faculty of Engineering and the Built Environment | |
dc.publisher.institution | University of Cape Town | |
dc.subject.other | Electrical Engineering | en_ZA |
dc.title | Localisation and navigation in GPS-denied environments using RFID tags | en_ZA |
dc.type | Master Thesis | |
dc.type.qualificationlevel | Masters | |
dc.type.qualificationname | MSc (Eng) | en_ZA |
uct.type.filetype | Text | |
uct.type.filetype | Image | |
uct.type.publication | Research | en_ZA |
uct.type.resource | Thesis | en_ZA |
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