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A RGBD-Based System for Real-Time Robotic Defects Detection on Sewer Networks
dc.contributor.editor | Silva, Manuel F. | es |
dc.contributor.editor | Lima, José Luís | es |
dc.contributor.editor | Reis, Luís Paulo | es |
dc.contributor.editor | Sanfeliu, Alberto | es |
dc.contributor.editor | Tardioli, Danilo | es |
dc.creator | Merino Cabañas, Luis | es |
dc.creator | Alejo Teissière, David | es |
dc.creator | Martínez Rozas, Simón Ernesto | es |
dc.creator | Caballero Benítez, Fernando | es |
dc.date.accessioned | 2020-07-10T08:07:20Z | |
dc.date.available | 2020-07-10T08:07:20Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | Merino Cabañas, L., Alejo Teissière, D., Martínez Rozas, S.E. y Caballero Benítez, F. (2020). A RGBD-Based System for Real-Time Robotic Defects Detection on Sewer Networks. | |
dc.identifier.isbn | 978-3-030-35989-8 | es |
dc.identifier.isbn | 978-3-030-35990-4 | es |
dc.identifier.uri | https://hdl.handle.net/11441/99183 | |
dc.description.abstract | In this paper we summarize the automatic defect inspec- tion onboard the sewer inspection ground platform SIAR. We include a general overview of the software and hardware characteristics of our platform, making a special emphasis on the sensing devices and software systems that are used for defect inspection. The main detection algo- rithm makes use of the a priori knowledge of ideal sections of the sewers that can be found in the Geographic Information Systems (GIS), and uses a variant of the Iterative Closest Point (ICP) algorithm for nd- ing structural and serviceability defects. Then, we describe the software modules that are in charge of storing the alerts found by the detection system and of displaying them to the operator. The whole system has been tested in two eld scenarios on di erent locations of the real sewer network of Barcelona, Spain. | es |
dc.format | application/pdf | es |
dc.format.extent | 12 p. | es |
dc.language.iso | eng | es |
dc.publisher | Springer | es |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Sewer inspection | es |
dc.subject | Defect detection | es |
dc.subject | Field robotics | es |
dc.title | A RGBD-Based System for Real-Time Robotic Defects Detection on Sewer Networks | es |
dc.type | info:eu-repo/semantics/conferenceObject | es |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ingeniería de Sistemas y Automática | es |
dc.relation.publisherversion | https://link.springer.com/chapter/10.1007/978-3-030-35990-4_48 | es |
dc.identifier.doi | 10.1007/978-3-030-35990-4_48 | es |
dc.contributor.group | Universidad de Sevilla. TIC-255 Service Robotics Laboratory | es |
idus.validador.nota | Postprint | es |
dc.publication.initialPage | 593 | es |
dc.publication.endPage | 605 | es |
dc.eventtitle | Robot 2019. Fourth Iberian Robotics Conference | es |
dc.eventinstitution | Porto (Portugal) | es |
Ficheros | Tamaño | Formato | Ver | Descripción |
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CABALLERO-BENITEZ_PONENCIA_POR ... | 14.41Mb | [PDF] | Ver/ | |