dc.contributor.author |
Karras, G |
en |
dc.contributor.author |
Loizou, S |
en |
dc.contributor.author |
Kyriakopoulos, K |
en |
dc.date.accessioned |
2014-03-01T02:52:19Z |
|
dc.date.available |
2014-03-01T02:52:19Z |
|
dc.date.issued |
2010 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/35883 |
|
dc.subject |
Controller Design |
en |
dc.subject |
Degree of Freedom |
en |
dc.subject |
Inertial Measurement Unit |
en |
dc.subject |
On-line Estimation |
en |
dc.subject |
Remotely Operated Vehicle |
en |
dc.subject |
unscented kalman filter |
en |
dc.subject |
Vision System |
en |
dc.subject |
Visual Servo Control |
en |
dc.subject |
visual servoing |
en |
dc.subject |
Field of View |
en |
dc.subject |
Input To State Stable |
en |
dc.title |
A visual-servoing scheme for semi-autonomous operation of an underwater robotic vehicle using an IMU and a Laser Vision System |
en |
heal.type |
conferenceItem |
en |
heal.identifier.primary |
10.1109/ROBOT.2010.5509259 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1109/ROBOT.2010.5509259 |
en |
heal.publicationDate |
2010 |
en |
heal.abstract |
This paper presents a visual servoing control scheme that is applied to an underwater robotic vehicle. The objective of the proposed control methodology is to provide a human operator the capability to move the vehicle without loosing the target from the vision system's field of view. On-line estimation of the vehicle states is achieved by fusing data from a Laser |
en |
heal.journalName |
International Conference on Robotics and Automation |
en |
dc.identifier.doi |
10.1109/ROBOT.2010.5509259 |
en |