dc.contributor.author |
Curran, A |
en |
dc.contributor.author |
Kyriakopoulos, K |
en |
dc.date.accessioned |
2014-03-01T01:43:33Z |
|
dc.date.available |
2014-03-01T01:43:33Z |
|
dc.date.issued |
1995 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/24150 |
|
dc.subject |
Dead Reckoning |
en |
dc.subject |
extended kalman filter |
en |
dc.subject |
Indoor Environment |
en |
dc.subject |
Infrared |
en |
dc.subject |
Mobile Robot |
en |
dc.title |
Ultrasonic navigation for a wheeled nonholonomic vehicle |
en |
heal.type |
journalArticle |
en |
heal.identifier.primary |
10.1007/BF01262963 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1007/BF01262963 |
en |
heal.publicationDate |
1995 |
en |
heal.abstract |
In this paper, we demonstrate a reliable and robust system for localization of mobile robots in indoors environments which are relatively consistent to a priori known maps. Through the use of an Extended Kalman Filter combining dead-reckoning, ultrasonic, and infrared sensor data, estimation of the position and orientation of the robot is achieved. Based on a thresholding approach, unexpected obstacles |
en |
heal.journalName |
Journal of Intelligent and Robotic Systems |
en |
dc.identifier.doi |
10.1007/BF01262963 |
en |