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Please use this identifier to cite or link to this item: http://hdl.handle.net/10204/2997

Title: Autonomous underwater vehicle motion tracking using a Kalman filter for sensor fusion
Authors: Holtzhausen, S
Matsebe, O
Tlale, NS
Bright, G
Keywords: Autonomous Underwater Vehicles (AUV)
Kalman filter
Sensor fusion
Issue Date: Nov-2008
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
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
Description: 15th International Conference on Mechatronics and Machine Vision in Practice. Auckland, New Zealand, 2 - 4 December 2008
URI: http://hdl.handle.net/10204/2997
ISBN: 9780473135324
Appears in Collections:Manufacturing science and technology
General science, engineering & technology

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