dc.contributor.author |
Holtzhausen, S
|
|
dc.contributor.author |
Matsebe, O
|
en |
dc.contributor.author |
Tlale, NS
|
en |
dc.contributor.author |
Bright, G
|
en |
dc.date.accessioned |
2009-02-16T10:23:18Z |
|
dc.date.available |
2009-02-16T10:23:18Z |
|
dc.date.issued |
2008-11 |
|
dc.identifier.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 |
en |
dc.identifier.isbn |
9780473135324 |
en |
dc.identifier.uri |
http://hdl.handle.net/10204/2997
|
|
dc.description |
15th International Conference on Mechatronics and Machine Vision in Practice. Auckland, New Zealand, 2 - 4 December 2008 |
en |
dc.description.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 |
en |
dc.language.iso |
en |
en |
dc.subject |
Autonomous Underwater Vehicles (AUV) |
en |
dc.subject |
Kalman filter |
en |
dc.subject |
Sensor fusion |
en |
dc.title |
Autonomous underwater vehicle motion tracking using a Kalman filter for sensor fusion |
en |
dc.type |
Conference Presentation |
en |
dc.identifier.apacitation |
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 |
en_ZA |
dc.identifier.chicagocitation |
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 |
en_ZA |
dc.identifier.vancouvercitation |
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 . |
en_ZA |
dc.identifier.ris |
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 -
|
en_ZA |