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Multisensor fusion for acquisition of the profile of surfaces

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Resumo:This paper presents multisensor fusion techniques for the acquisition of the profile of surfaces with minimum error using low cost sensors ultrasonic sensors. These surfaces are composed by areas with different depths, corners and specular surfaces. To minimize the constraints of sonar sensors, it was developed dedicated software and hardware, as well as an empirical model was obtained from real data. This model is based in two proposed concepts: Points of Constant Depth (PCD) and Areas of Constant Depth (ACD). Having this sonar model in mind, four multisensor fusion techniques are used separately to validate the PCDs and decide the ACDs: average and variance, fuzzy controller and heuristic method based in rules. In this work a PUMA 560 manipulator was equipped with a CCD video camera and four ultrasonic sensors on the wrist, to acquire data for internally representation of the geometry of the part’s surface, exploiting the mobility of the robot. The CCD camera view defines the working area while the ultrasonic sensors enable the acquisition of the surface profile.
Autores principais:Fonseca, Jaime C.
Outros Autores:Mendes, José A.; Martins, Júlio S.; Couto, Carlos
Assunto:PCD Fuzzy Ultrassonic ACD ultrasonic profile
Ano:2004
País:Portugal
Tipo de documento:comunicação em conferência
Tipo de acesso:acesso aberto
Instituição associada:Universidade do Minho
Idioma:inglês
Origem:RepositóriUM - Universidade do Minho
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author Fonseca, Jaime C.
author2 Mendes, José A.
Martins, Júlio S.
Couto, Carlos
author2_role author
author
author
author_facet Fonseca, Jaime C.
Mendes, José A.
Martins, Júlio S.
Couto, Carlos
author_role author
contributor_name_str_mv Universidade do Minho
country_str PT
creators_json_str [{\"Person.name\":\"Fonseca, Jaime C.\"},{\"Person.name\":\"Mendes, José A.\"},{\"Person.name\":\"Martins, Júlio S.\"},{\"Person.name\":\"Couto, Carlos\"}]
datacite.contributors.contributor.contributorName.fl_str_mv Universidade do Minho
datacite.creators.creator.creatorName.fl_str_mv Fonseca, Jaime C.
Mendes, José A.
Martins, Júlio S.
Couto, Carlos
datacite.date.Accepted.fl_str_mv 2004-12-08T00:00:00Z
datacite.date.available.fl_str_mv 2005-05-23T11:05:17Z
datacite.date.embargoed.fl_str_mv 2005-05-23T11:05:17Z
datacite.rights.fl_str_mv http://purl.org/coar/access_right/c_abf2
datacite.subjects.subject.fl_str_mv PCD
Fuzzy
Ultrassonic
ACD
ultrasonic
profile
datacite.titles.title.fl_str_mv Multisensor fusion for acquisition of the profile of surfaces
dc.contributor.none.fl_str_mv Universidade do Minho
dc.creator.none.fl_str_mv Fonseca, Jaime C.
Mendes, José A.
Martins, Júlio S.
Couto, Carlos
dc.date.Accepted.fl_str_mv 2004-12-08T00:00:00Z
dc.date.available.fl_str_mv 2005-05-23T11:05:17Z
dc.date.embargoed.fl_str_mv 2005-05-23T11:05:17Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv https://hdl.handle.net/1822/1720
dc.language.none.fl_str_mv eng
dc.publisher.none.fl_str_mv IEEE
dc.rights.none.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.subject.none.fl_str_mv PCD
Fuzzy
Ultrassonic
ACD
ultrasonic
profile
dc.title.fl_str_mv Multisensor fusion for acquisition of the profile of surfaces
dc.type.none.fl_str_mv http://purl.org/coar/resource_type/c_5794
description This paper presents multisensor fusion techniques for the acquisition of the profile of surfaces with minimum error using low cost sensors ultrasonic sensors. These surfaces are composed by areas with different depths, corners and specular surfaces. To minimize the constraints of sonar sensors, it was developed dedicated software and hardware, as well as an empirical model was obtained from real data. This model is based in two proposed concepts: Points of Constant Depth (PCD) and Areas of Constant Depth (ACD). Having this sonar model in mind, four multisensor fusion techniques are used separately to validate the PCDs and decide the ACDs: average and variance, fuzzy controller and heuristic method based in rules. In this work a PUMA 560 manipulator was equipped with a CCD video camera and four ultrasonic sensors on the wrist, to acquire data for internally representation of the geometry of the part’s surface, exploiting the mobility of the robot. The CCD camera view defines the working area while the ultrasonic sensors enable the acquisition of the surface profile.
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eu_rights_str_mv openAccess
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fulltext.url.fl_str_mv https://prod-dspace.uminho.pt/bitstreams/8e669a62-9307-4b33-b5eb-38e1dc765531/download
id rum_5a8dbca87ec3e05906af5eefe2c773db
identifier.url.fl_str_mv https://hdl.handle.net/1822/1720
instacron_str repositorium
institution Universidade do Minho
instname_str Universidade do Minho
language eng
network_acronym_str rum
network_name_str RepositóriUM - Universidade do Minho
oai_identifier_str oai:repositorium.uminho.pt:1822/1720
organization_str_mv urn:organizationAcronym:repositorium
person_str_mv Fonseca, Jaime C.
Mendes, José A.
Martins, Júlio S.
Couto, Carlos
publishDate 2004
publisher.none.fl_str_mv IEEE
reponame_str RepositóriUM - Universidade do Minho
repository_id_str urn:repositoryAcronym:rum
service_str_mv urn:repositoryAcronym:rum
spelling engIEEEengThis paper presents multisensor fusion techniques for the acquisition of the profile of surfaces with minimum error using low cost sensors ultrasonic sensors. These surfaces are composed by areas with different depths, corners and specular surfaces. To minimize the constraints of sonar sensors, it was developed dedicated software and hardware, as well as an empirical model was obtained from real data. This model is based in two proposed concepts: Points of Constant Depth (PCD) and Areas of Constant Depth (ACD). Having this sonar model in mind, four multisensor fusion techniques are used separately to validate the PCDs and decide the ACDs: average and variance, fuzzy controller and heuristic method based in rules. In this work a PUMA 560 manipulator was equipped with a CCD video camera and four ultrasonic sensors on the wrist, to acquire data for internally representation of the geometry of the part’s surface, exploiting the mobility of the robot. The CCD camera view defines the working area while the ultrasonic sensors enable the acquisition of the surface profile.application/pdfengMultisensor fusion for acquisition of the profile of surfacesFonseca, Jaime C.Mendes, José A.Martins, Júlio S.Couto, CarlosHostingInstitutionOrganizationalUniversidade do Minhoe-mailmailto:repositorium@usdb.uminho.ptrepositorium@usdb.uminho.ptISBNIsPartOf07803866202005-05-23T11:05:17Z2004-12-082004-12-08T00:00:00ZHandlehttps://hdl.handle.net/1822/1720http://purl.org/coar/access_right/c_abf2open accessPCDFuzzyUltrassonicACDultrasonicprofile516576 bytesother research producthttp://purl.org/coar/resource_type/c_5794conference paperhttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://prod-dspace.uminho.pt/bitstreams/8e669a62-9307-4b33-b5eb-38e1dc765531/download
spellingShingle Multisensor fusion for acquisition of the profile of surfaces
Fonseca, Jaime C.
PCD
Fuzzy
Ultrassonic
ACD
ultrasonic
profile
subject.fl_str_mv PCD
Fuzzy
Ultrassonic
ACD
ultrasonic
profile
title Multisensor fusion for acquisition of the profile of surfaces
title_full Multisensor fusion for acquisition of the profile of surfaces
title_fullStr Multisensor fusion for acquisition of the profile of surfaces
title_full_unstemmed Multisensor fusion for acquisition of the profile of surfaces
title_short Multisensor fusion for acquisition of the profile of surfaces
title_sort Multisensor fusion for acquisition of the profile of surfaces
topic PCD
Fuzzy
Ultrassonic
ACD
ultrasonic
profile
topic_facet PCD
Fuzzy
Ultrassonic
ACD
ultrasonic
profile
url https://hdl.handle.net/1822/1720
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