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Autonomous underwater vehicle motion tracking using a Kalman Filter for sensor fusion

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dc.contributor.author Holtzhausen, S
dc.contributor.author Matsebe, O
dc.contributor.author Tlale, NS
dc.date.accessioned 2009-03-09T12:19:05Z
dc.date.available 2009-03-09T12:19:05Z
dc.date.issued 2008
dc.identifier.citation Holtzhausen, S, Matsebe, O, Tlale, NS and Bright, G. 2008. Autonomous underwater vehicle motion tracking using a Kalman Filter for sensor fusion. Technical Aerospace and Unmanned Systems Conference, Somerset West, South Africa, 17-19 November 2008, pp 6 en
dc.identifier.uri http://hdl.handle.net/10204/3189
dc.description Technical Aerospace and Unmanned Systems Conference, Somerset West, South Africa, 17-19 November 2008, en
dc.description.abstract AUVs are ideal platforms for search and rescue operations. They can also be used for inspection of underwater terrains. These vehicles need to be autonomous and robust to cope with unpredictable current and high pressures. In this paper it will be shown how a Kalman Filter is used to estimate the position of an autonomous vehicle in a three dimensional space. The Kalman filter is used to estimate movement and position using measurements from multiple sensors en
dc.language.iso en en
dc.subject AUVs en
dc.subject Underwater terrains en
dc.subject Autonomous vehicles en
dc.subject Kalman Filter en
dc.title Autonomous underwater vehicle motion tracking using a Kalman Filter for sensor fusion en
dc.type Conference Presentation en
dc.identifier.apacitation Holtzhausen, S., Matsebe, O., & Tlale, N. (2008). Autonomous underwater vehicle motion tracking using a Kalman Filter for sensor fusion. http://hdl.handle.net/10204/3189 en_ZA
dc.identifier.chicagocitation Holtzhausen, S, O Matsebe, and NS Tlale. "Autonomous underwater vehicle motion tracking using a Kalman Filter for sensor fusion." (2008): http://hdl.handle.net/10204/3189 en_ZA
dc.identifier.vancouvercitation Holtzhausen S, Matsebe O, Tlale N, Autonomous underwater vehicle motion tracking using a Kalman Filter for sensor fusion; 2008. http://hdl.handle.net/10204/3189 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Holtzhausen, S AU - Matsebe, O AU - Tlale, NS AB - AUVs are ideal platforms for search and rescue operations. They can also be used for inspection of underwater terrains. These vehicles need to be autonomous and robust to cope with unpredictable current and high pressures. In this paper it will be shown how a Kalman Filter is used to estimate the position of an autonomous vehicle in a three dimensional space. The Kalman filter is used to estimate movement and position using measurements from multiple sensors DA - 2008 DB - ResearchSpace DP - CSIR KW - AUVs KW - Underwater terrains KW - Autonomous vehicles KW - Kalman Filter LK - https://researchspace.csir.co.za PY - 2008 T1 - Autonomous underwater vehicle motion tracking using a Kalman Filter for sensor fusion TI - Autonomous underwater vehicle motion tracking using a Kalman Filter for sensor fusion UR - http://hdl.handle.net/10204/3189 ER - en_ZA


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