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
Reference:
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
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
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
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 .