Holtzhausen, SMatsebe, OTlale, NS2009-03-092009-03-092008Holtzhausen, 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 6http://hdl.handle.net/10204/3189Technical Aerospace and Unmanned Systems Conference, Somerset West, South Africa, 17-19 November 2008,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 sensorsenAUVsUnderwater terrainsAutonomous vehiclesKalman FilterConference PresentationHoltzhausen, S., Matsebe, O., & Tlale, N. (2008). Autonomous underwater vehicle motion tracking using a Kalman Filter for sensor fusion. http://hdl.handle.net/10204/3189Holtzhausen, S, O Matsebe, and NS Tlale. "Autonomous underwater vehicle motion tracking using a Kalman Filter for sensor fusion." (2008): http://hdl.handle.net/10204/3189Holtzhausen S, Matsebe O, Tlale N, Autonomous underwater vehicle motion tracking using a Kalman Filter for sensor fusion; 2008. http://hdl.handle.net/10204/3189 .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 -