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Stochastic modeling of a time of flight sensor to be applied in a mobile robotics application

dc.contributor.authorBrancalião, Laiany Suganuma
dc.contributor.authorConde, Miguel Ángel
dc.contributor.authorCosta, Paulo Gomes da
dc.contributor.authorGonçalves, José
dc.date.accessioned2022-09-27T14:41:57Z
dc.date.available2022-09-27T14:41:57Z
dc.date.issued2022
dc.description.abstractIn this paper it is presented the stochastic modeling of a time of flight sensor, to be applied in a mobile robotics application. The sensor was configured to provide data at a frequency of 30 Hz, obtaining a tradeoff between reactiveness and accuracy. The sensor data was acquired using a microcontroller development board, being the sensor moved with a manipulator, in order to assure repeatability and accuracy in the data acquisition process. The sensor was modeled having in mind the targets color, ranging from black to white for the working range, its variance, standard deviation, offset, means and errors measures were estimated.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationBrancalião, Laiany; Conde, Miguel Á.; Costa, Paulo; Gonçalves, José (2022). Stochastic modeling of a time of flight sensor to be applied in a mobile robotics application. In 15th APCA International Conference on Automatic Control and Soft Computing, CONTROLO 2022. Caparica, Lisboa. 930, p. 621-632. ISBN 978-3-031-10047-5pt_PT
dc.identifier.doi10.1007/978-3-031-10047-5_55pt_PT
dc.identifier.urihttp://hdl.handle.net/10198/25949
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectStochastic modelingtpt_PT
dc.subjectTime of flight sensorpt_PT
dc.subjectMobile roboticspt_PT
dc.subjectManipulator robotpt_PT
dc.titleStochastic modeling of a time of flight sensor to be applied in a mobile robotics applicationpt_PT
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferencePlaceCaparica, Lisboapt_PT
oaire.citation.endPage632pt_PT
oaire.citation.startPage621pt_PT
oaire.citation.title15th APCA International Conference on Automatic Control and Soft Computing, CONTROLO 2022pt_PT
oaire.citation.volume930pt_PT
person.familyNameBrancalião
person.familyNameGonçalves
person.givenNameLaiany Suganuma
person.givenNameJosé
person.identifierR-000-7ZW
person.identifier.ciencia-idDD1C-97FA-B567
person.identifier.ciencia-id8112-DCE2-D025
person.identifier.orcid0000-0002-0257-4361
person.identifier.orcid0000-0002-5499-1730
person.identifier.ridB-8547-2018
person.identifier.scopus-author-id57218109310
person.identifier.scopus-author-id48361230200
rcaap.rightsrestrictedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublicationb386b163-7c7b-484a-b191-1e5104a57768
relation.isAuthorOfPublication6a3b0b39-7fe9-4450-94f4-ced3941947da
relation.isAuthorOfPublication.latestForDiscovery6a3b0b39-7fe9-4450-94f4-ced3941947da

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