Publication
Performance enhancement of a Neato XV-11 laser scanner applied to mobile robot localization: a stochastic modeling approach
| dc.contributor.author | Gonçalves, José | |
| dc.contributor.author | Coelho, João Paulo | |
| dc.contributor.author | Braz-César, Manuel | |
| dc.contributor.author | Costa, Paulo Gomes da | |
| dc.date.accessioned | 2021-11-24T11:45:17Z | |
| dc.date.available | 2021-11-24T11:45:17Z | |
| dc.date.issued | 2021 | |
| dc.description.abstract | Laser scanners are widely used in mobile robotics localization systems but, despite the enormous potential of its use, their high price tag is a major drawback, mainly for hobbyist and educational robotics practitioners that usually have a reduced budget. The Neato XV-11 Laser Scanner is a very low cost alternative, when compared with the current available laser scanners, being this fact the main motivation for its use. The modeling of a hacked Neato XV-11 Laser Scanner allows to provide valuable information that can promote the development of better designs of robot localization systems based on this sensor. This paper presents, as an example, the performance enhancement of a Neato XV-11 Laser Scanner applied to mobile robot self-localization, being used as case study the Perfect Match Algorithm applied to the Robot@Factory competition. | pt_PT |
| dc.description.sponsorship | This work has been supported by FCT - Fundação para a Ciência e Tecnologia with in the Project Scope: UIDB/05757/2020 | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.citation | Gonçalves, José; Coelho, João Paulo; Braz-César, M.T.; Costa, Paulo Gomes da (2021). Performance enhancement of a Neato XV-11 laser scanner applied to mobile robot localization: a stochastic modeling approach. In 14th APCA International Conference on Automatic Control and Soft Computing, CONTROLO 2020. Bragança, p. 49-62. ISBN 978-303058652-2 | pt_PT |
| dc.identifier.doi | 10.1007/978-3-030-58653-9_5 | pt_PT |
| dc.identifier.isbn | 978-303058652-2 | |
| dc.identifier.uri | http://hdl.handle.net/10198/24397 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
| dc.subject | Laser scanner | pt_PT |
| dc.subject | Modeling | pt_PT |
| dc.subject | Neato XV-11 | pt_PT |
| dc.subject | Perfect match | pt_PT |
| dc.title | Performance enhancement of a Neato XV-11 laser scanner applied to mobile robot localization: a stochastic modeling approach | pt_PT |
| dc.type | conference paper | |
| dspace.entity.type | Publication | |
| oaire.citation.endPage | 62 | pt_PT |
| oaire.citation.startPage | 49 | pt_PT |
| oaire.citation.title | 14Th Apca International Conference on Automatic Control and Soft Computing, Controlo 2020 in: Lecture Notes in Electrical Engineering, 1 July 2020 through 3 July 2020 Volume 695 LNEE, Pages 49-62 | pt_PT |
| oaire.citation.volume | 695 | pt_PT |
| person.familyName | Gonçalves | |
| person.familyName | Coelho | |
| person.familyName | Braz-César | |
| person.givenName | José | |
| person.givenName | João Paulo | |
| person.givenName | Manuel | |
| person.identifier | R-000-7ZW | |
| person.identifier | R-001-EXZ | |
| person.identifier.ciencia-id | 8112-DCE2-D025 | |
| person.identifier.ciencia-id | D61E-A586-7D4A | |
| person.identifier.ciencia-id | 5C10-B764-22E3 | |
| person.identifier.orcid | 0000-0002-5499-1730 | |
| person.identifier.orcid | 0000-0002-7616-1383 | |
| person.identifier.orcid | 0000-0001-5640-0714 | |
| person.identifier.rid | B-8547-2018 | |
| person.identifier.rid | J-6887-2013 | |
| person.identifier.scopus-author-id | 48361230200 | |
| person.identifier.scopus-author-id | 55137039300 | |
| person.identifier.scopus-author-id | 53663179600 | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | conferenceObject | pt_PT |
| relation.isAuthorOfPublication | 6a3b0b39-7fe9-4450-94f4-ced3941947da | |
| relation.isAuthorOfPublication | 2861f33b-b49a-421d-9bfa-92b4304d2668 | |
| relation.isAuthorOfPublication | a99f08f6-5b97-4571-a6e4-07dee53fb527 | |
| relation.isAuthorOfPublication.latestForDiscovery | 2861f33b-b49a-421d-9bfa-92b4304d2668 |
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