Mostra el registre d'ítem simple
PL-SLAM: real-time monocular visual SLAM with points and lines
dc.contributor.author | Pumarola Peris, Albert |
dc.contributor.author | Vakhitov, A. |
dc.contributor.author | Agudo Martínez, Antonio |
dc.contributor.author | Sanfeliu Cortés, Alberto |
dc.contributor.author | Moreno-Noguer, Francesc |
dc.contributor.other | Institut de Robòtica i Informàtica Industrial |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial |
dc.date.accessioned | 2017-11-10T12:40:54Z |
dc.date.available | 2017-11-10T12:40:54Z |
dc.date.issued | 2017 |
dc.identifier.citation | Pumarola, A., Vakhitov, A., Agudo, A., Sanfeliu, A., Moreno-Noguer, F. PL-SLAM: real-time monocular visual SLAM with points and lines. A: IEEE International Conference on Robotics and Automation. "2017 ICRA IEEE International Conference on Robotics and Automation". IEEE Press, 2017, p. 4503-4508. |
dc.identifier.uri | http://hdl.handle.net/2117/110259 |
dc.description | © 20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works |
dc.description.abstract | Low textured scenes are well known to be one of the main Achilles heels of geometric computer vision algorithms relying on point correspondences, and in particular for visual SLAM. Yet, there are many environments in which, despite being low textured, one can still reliably estimate line-based geometric primitives, for instance in city and indoor scenes, or in the so-called |
dc.format.extent | 6 p. |
dc.language.iso | eng |
dc.publisher | IEEE Press |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Automàtica i control |
dc.subject.other | computer vision |
dc.subject.other | feature extraction |
dc.subject.other | mobile robots |
dc.subject.other | SLAM |
dc.title | PL-SLAM: real-time monocular visual SLAM with points and lines |
dc.type | Conference report |
dc.contributor.group | Universitat Politècnica de Catalunya. ROBiri - Grup de Robòtica de l'IRI |
dc.contributor.group | Universitat Politècnica de Catalunya. VIS - Visió Artificial i Sistemes Intel·ligents |
dc.identifier.doi | 10.1109/ICRA.2017.7989522 |
dc.description.peerreviewed | Peer Reviewed |
dc.subject.inspec | Classificació INSPEC::Pattern recognition::Computer vision |
dc.relation.publisherversion | http://ieeexplore.ieee.org/document/7989522/ |
dc.rights.access | Open Access |
local.identifier.drac | 21561027 |
dc.description.version | Postprint (author's final draft) |
dc.relation.projectid | info:eu-repo/grantAgreement/EC/H2020/644271/EU/AErial RObotic system integrating multiple ARMS and advanced manipulation capabilities for inspection and maintenance/AEROARMS |
local.citation.author | Pumarola, A.; Vakhitov, A.; Agudo, A.; Sanfeliu, A.; Moreno-Noguer, F. |
local.citation.contributor | IEEE International Conference on Robotics and Automation |
local.citation.publicationName | 2017 ICRA IEEE International Conference on Robotics and Automation |
local.citation.startingPage | 4503 |
local.citation.endingPage | 4508 |