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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 en
dc.contributor.author Tlale, NS en
dc.contributor.author Bright, G en
dc.date.accessioned 2009-02-16T10:23:18Z
dc.date.available 2009-02-16T10:23:18Z
dc.date.issued 2008-11
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. 15th International Conference on Mechatronics and Machine Vision in Practice. Auckland, New Zealand, 2 - 4 December 2008, pp 103-108 en
dc.identifier.isbn 9780473135324 en
dc.identifier.uri http://hdl.handle.net/10204/2997
dc.description 15th International Conference on Mechatronics and Machine Vision in Practice. Auckland, New Zealand, 2 - 4 December 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 Autonomous Underwater Vehicles (AUV) en
dc.subject Kalman filter en
dc.subject Sensor fusion 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., & Bright, G. (2008). Autonomous underwater vehicle motion tracking using a Kalman filter for sensor fusion. http://hdl.handle.net/10204/2997 en_ZA
dc.identifier.chicagocitation Holtzhausen, S, O Matsebe, NS Tlale, and G Bright. "Autonomous underwater vehicle motion tracking using a Kalman filter for sensor fusion." (2008): http://hdl.handle.net/10204/2997 en_ZA
dc.identifier.vancouvercitation Holtzhausen S, Matsebe O, Tlale N, Bright G, Autonomous underwater vehicle motion tracking using a Kalman filter for sensor fusion; 2008. http://hdl.handle.net/10204/2997 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Holtzhausen, S AU - Matsebe, O AU - Tlale, NS AU - Bright, G 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 - 2008-11 DB - ResearchSpace DP - CSIR KW - Autonomous Underwater Vehicles (AUV) KW - Kalman filter KW - Sensor fusion LK - https://researchspace.csir.co.za PY - 2008 SM - 9780473135324 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/10204/2997 ER - en_ZA


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