Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/19513
Full metadata record
DC FieldValueLanguage
dc.contributor.advisorRUTTEN, Leo-
dc.contributor.advisorRIDAO RODRIGUEZ, Pere-
dc.contributor.advisorBOSCH, Josep-
dc.contributor.authorPenné, Frederik-
dc.date.accessioned2015-09-29T08:48:11Z-
dc.date.available2015-09-29T08:48:11Z-
dc.date.issued2015-
dc.identifier.urihttp://hdl.handle.net/1942/19513-
dc.description.abstractThe interest in autonomous mobile robot applications is growing. In order to be autonomous the robots need to have a certain awareness of their environment. Therefore maps are build and sensor data is obtained. One of the problems is to localize a robot with the use of sensor data in a known environment. This can be done with the use of a localization method called particle filter. This is a robust localization method that allows the robot to estimate its position in a given map. We were able to implement this method into the turtlebot platform and the performances are tested on different environments-
dc.format.mimetypeApplication/pdf-
dc.languagenl-
dc.publisherUHasselt-
dc.titleImplementation of particle filtering in a turtlebot-
dc.typeTheses and Dissertations-
local.bibliographicCitation.jcatT2-
dc.description.notesmaster in de industriële wetenschappen: energie-automatisering-
local.type.specifiedMaster thesis-
item.fullcitationPenné, Frederik (2015) Implementation of particle filtering in a turtlebot.-
item.contributorPenné, Frederik-
item.accessRightsOpen Access-
item.fulltextWith Fulltext-
Appears in Collections:Master theses
Files in This Item:
File Description SizeFormat 
12352512014H54.pdf1.11 MBAdobe PDFView/Open
Show simple item record

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.