Holtzhausen, SMatsebe, OTlale, NSBright, G2009-02-162009-02-162008-11Holtzhausen, 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 103-1089780473135324http://hdl.handle.net/10204/299715th International Conference on Mechatronics and Machine Vision in Practice. Auckland, New Zealand, 2 - 4 December 2008AUVs 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 sensorsenAutonomous Underwater Vehicles (AUV)Kalman filterSensor fusionConference PresentationHoltzhausen, S., Matsebe, O., Tlale, N., & Bright, G. (2008). Autonomous underwater vehicle motion tracking using a Kalman filter for sensor fusion. http://hdl.handle.net/10204/2997Holtzhausen, 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/10204/2997Holtzhausen 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 .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 -