Autonomous Underwater Vehicle Motion Tracking using a Kalman Filter for Sensor Fusion

Conference proceedings article

Authors / Editors

Research Areas

No matching items found.

Publication Details

Author list: Holtzhausen S, Matsebe O, Tlale NS, Bright G

Publisher: IEEE

Place: NEW YORK

Publication year: 2008

Journal acronym: I C MECH MACH VIS PR

Start page: 103

End page: +

ISBN: 978-1-4244-3779-5

Languages: English-Great Britain (EN-GB)

View in Web of Science | View citing articles in Web of Science

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.

Keywords

No matching items found.

Documents

No matching items found.