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Please use this identifier to cite or link to this item: http://hdl.handle.net/10204/3189

Title: Autonomous underwater vehicle motion tracking using a Kalman Filter for sensor fusion
Authors: Holtzhausen, S
Matsebe, O
Tlale, NS
Keywords: AUVs
Underwater terrains
Autonomous vehicles
Kalman Filter
Issue Date: 2008
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
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: Technical Aerospace and Unmanned Systems Conference, Somerset West, South Africa, 17-19 November 2008,
URI: http://hdl.handle.net/10204/3189
Appears in Collections:Manufacturing science and technology
General science, engineering & technology

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