Mostra el registre d'ítem simple

dc.contributor.authorCelaya Llover, Enric
dc.contributor.authorAlbarral Garcia, Jose Luis
dc.contributor.authorJiménez Schlegl, Pablo
dc.contributor.authorTorras, Carme
dc.contributor.otherInstitut de Robòtica i Informàtica Industrial
dc.date.accessioned2020-06-23T07:45:44Z
dc.date.available2020-06-23T07:45:44Z
dc.date.issued2007
dc.identifier.citationCelaya, E. [et al.]. Natural landmark detection for visually-guided robot navigation. A: Congress of the Italian Association for Artificial Intelligence. "Proceedings of the Congress of the Italian Association for Artificial Intelligence". 2007, p. 555-566.
dc.identifier.urihttp://hdl.handle.net/2117/191345
dc.descriptionThe final publication is available at link.springer.com
dc.description.abstractThe main difficulty to attain fully autonomous robot navigation outdoors is the fast detection of reliable visual references, and their subsequent characterization as landmarks for immediate and unambiguous recognition. Aimed at speed, our strategy has been to track salient regions along image streams by just performing on-line pixel sampling. Persistent regions are considered good candidates for landmarks, which are then characterized by a set of subregions with given color and normalized shape. They are stored in a database for posterior recognition during the navigation process. Some experimental results showing landmark-based navigation of the legged robot Lauron III in an outdoor setting are provided.
dc.format.extent12 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Informàtica::Automàtica i control
dc.subject.otherAutomation
dc.titleNatural landmark detection for visually-guided robot navigation
dc.typeConference report
dc.contributor.groupUniversitat Politècnica de Catalunya. KRD - Cinemàtica i Disseny de Robots
dc.contributor.groupUniversitat Politècnica de Catalunya. ROBiri - Grup de Robòtica de l'IRI
dc.identifier.doi10.1007/978-3-540-74782-6_48
dc.description.peerreviewedPeer Reviewed
dc.subject.inspecClassificació INSPEC::Automation
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007%2F978-3-540-74782-6_48
dc.rights.accessOpen Access
local.identifier.drac27655885
dc.description.versionPostprint (author's final draft)
local.citation.authorCelaya, E.; Albarral, J.; Jimenez, P.; Torras, C.
local.citation.contributorCongress of the Italian Association for Artificial Intelligence
local.citation.publicationNameProceedings of the Congress of the Italian Association for Artificial Intelligence
local.citation.startingPage555
local.citation.endingPage566


Fitxers d'aquest items

Thumbnail

Aquest ítem apareix a les col·leccions següents

Mostra el registre d'ítem simple