Enhancing multisensor data fusion on light sectioning coordinate measuring systems for the in-process inspection of freeform shaped parts
[Display omitted] •Automatic determination of sensor pose in multisensor laser triangulation CMS.•5-Times better registration of sensors w.r.t. optimized adjustment by manual methods.•Quantification of the effects of influencing parameters using simulations. A method for automatic determination of s...
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Veröffentlicht in: | Precision engineering 2016-07, Vol.45, p.209-215 |
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container_title | Precision engineering |
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creator | Schöch, Alexander Salvadori, Alessandro Carmignato, Simone Savio, Enrico |
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•Automatic determination of sensor pose in multisensor laser triangulation CMS.•5-Times better registration of sensors w.r.t. optimized adjustment by manual methods.•Quantification of the effects of influencing parameters using simulations.
A method for automatic determination of sensors positions and orientations in multisensor laser triangulation coordinate measuring systems is presented. Based on a series of measurements on a conical artifact without the use of external light sources, the approach allows for both optimized adjustment of the physical sensors alignment and improved 3D data registration by software. Simulations were conducted to quantify the sensitivity of the method. Experimental results based on measurements of steep details of complex shaped parts show a 5-times reduction of deviations between measurements of sensors with respect to an already optimized adjustment by manual methods. |
doi_str_mv | 10.1016/j.precisioneng.2016.02.014 |
format | Article |
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•Automatic determination of sensor pose in multisensor laser triangulation CMS.•5-Times better registration of sensors w.r.t. optimized adjustment by manual methods.•Quantification of the effects of influencing parameters using simulations.
A method for automatic determination of sensors positions and orientations in multisensor laser triangulation coordinate measuring systems is presented. Based on a series of measurements on a conical artifact without the use of external light sources, the approach allows for both optimized adjustment of the physical sensors alignment and improved 3D data registration by software. Simulations were conducted to quantify the sensitivity of the method. Experimental results based on measurements of steep details of complex shaped parts show a 5-times reduction of deviations between measurements of sensors with respect to an already optimized adjustment by manual methods.</description><identifier>ISSN: 0141-6359</identifier><identifier>EISSN: 1873-2372</identifier><identifier>DOI: 10.1016/j.precisioneng.2016.02.014</identifier><language>eng</language><publisher>Elsevier Inc</publisher><subject>Adjustment ; Automation ; Computer programs ; Data fusion ; Deviation ; Laser triangulation ; Manuals ; Manufacturing ; Metrology ; Multisensor data fusion ; Sensors ; Three dimensional</subject><ispartof>Precision engineering, 2016-07, Vol.45, p.209-215</ispartof><rights>2016 Elsevier Inc.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c357t-2f48fdaba777f7910430eb92b0b273a411c73d8de77feaf8e29349dd625ed10f3</citedby><cites>FETCH-LOGICAL-c357t-2f48fdaba777f7910430eb92b0b273a411c73d8de77feaf8e29349dd625ed10f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0141635916000520$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids></links><search><creatorcontrib>Schöch, Alexander</creatorcontrib><creatorcontrib>Salvadori, Alessandro</creatorcontrib><creatorcontrib>Carmignato, Simone</creatorcontrib><creatorcontrib>Savio, Enrico</creatorcontrib><title>Enhancing multisensor data fusion on light sectioning coordinate measuring systems for the in-process inspection of freeform shaped parts</title><title>Precision engineering</title><description>[Display omitted]
•Automatic determination of sensor pose in multisensor laser triangulation CMS.•5-Times better registration of sensors w.r.t. optimized adjustment by manual methods.•Quantification of the effects of influencing parameters using simulations.
A method for automatic determination of sensors positions and orientations in multisensor laser triangulation coordinate measuring systems is presented. Based on a series of measurements on a conical artifact without the use of external light sources, the approach allows for both optimized adjustment of the physical sensors alignment and improved 3D data registration by software. Simulations were conducted to quantify the sensitivity of the method. Experimental results based on measurements of steep details of complex shaped parts show a 5-times reduction of deviations between measurements of sensors with respect to an already optimized adjustment by manual methods.</description><subject>Adjustment</subject><subject>Automation</subject><subject>Computer programs</subject><subject>Data fusion</subject><subject>Deviation</subject><subject>Laser triangulation</subject><subject>Manuals</subject><subject>Manufacturing</subject><subject>Metrology</subject><subject>Multisensor data fusion</subject><subject>Sensors</subject><subject>Three dimensional</subject><issn>0141-6359</issn><issn>1873-2372</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNqNUMtqHDEQFMGBrJ38g8jJl5noMbuayS34kRgMviRnoZVau1pmpLFaE_An-K-jYX3wMdDQTXVV0V2EfOWs5Yzvvp3aOYMNGFKEeGhFxVomWsa7D2TDeyUbIZW4IJuK8GYnt8Mncol4YoypnnUb8noXjybaEA90WsYSECKmTJ0phvpl9aW1xnA4FopgSwVWrk0puxBNATqBwSWvIL5ggQmprwblCDTEZs7JAmIdcT6rafLUZ4BKmigezQyOziYX_Ew-ejMifHnrV-TP_d3vm1_N49PPh5sfj42VW1Ua4bveO7M3SimvBs46yWA_iD3bCyVNx7lV0vUO6hqM70EMshuc24ktOM68vCLXZ9962_MCWPQU0MI4mghpQc17vmNMdIJV6vcz1eaEmMHrOYfJ5BfNmV7z1yf9Pn-95q-Z0DXtKr49i6E-8zdA1mgDRAsuVEnRLoX_sfkHSO6aQw</recordid><startdate>201607</startdate><enddate>201607</enddate><creator>Schöch, Alexander</creator><creator>Salvadori, Alessandro</creator><creator>Carmignato, Simone</creator><creator>Savio, Enrico</creator><general>Elsevier Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope></search><sort><creationdate>201607</creationdate><title>Enhancing multisensor data fusion on light sectioning coordinate measuring systems for the in-process inspection of freeform shaped parts</title><author>Schöch, Alexander ; Salvadori, Alessandro ; Carmignato, Simone ; Savio, Enrico</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c357t-2f48fdaba777f7910430eb92b0b273a411c73d8de77feaf8e29349dd625ed10f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Adjustment</topic><topic>Automation</topic><topic>Computer programs</topic><topic>Data fusion</topic><topic>Deviation</topic><topic>Laser triangulation</topic><topic>Manuals</topic><topic>Manufacturing</topic><topic>Metrology</topic><topic>Multisensor data fusion</topic><topic>Sensors</topic><topic>Three dimensional</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Schöch, Alexander</creatorcontrib><creatorcontrib>Salvadori, Alessandro</creatorcontrib><creatorcontrib>Carmignato, Simone</creatorcontrib><creatorcontrib>Savio, Enrico</creatorcontrib><collection>CrossRef</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><jtitle>Precision engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Schöch, Alexander</au><au>Salvadori, Alessandro</au><au>Carmignato, Simone</au><au>Savio, Enrico</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Enhancing multisensor data fusion on light sectioning coordinate measuring systems for the in-process inspection of freeform shaped parts</atitle><jtitle>Precision engineering</jtitle><date>2016-07</date><risdate>2016</risdate><volume>45</volume><spage>209</spage><epage>215</epage><pages>209-215</pages><issn>0141-6359</issn><eissn>1873-2372</eissn><abstract>[Display omitted]
•Automatic determination of sensor pose in multisensor laser triangulation CMS.•5-Times better registration of sensors w.r.t. optimized adjustment by manual methods.•Quantification of the effects of influencing parameters using simulations.
A method for automatic determination of sensors positions and orientations in multisensor laser triangulation coordinate measuring systems is presented. Based on a series of measurements on a conical artifact without the use of external light sources, the approach allows for both optimized adjustment of the physical sensors alignment and improved 3D data registration by software. Simulations were conducted to quantify the sensitivity of the method. Experimental results based on measurements of steep details of complex shaped parts show a 5-times reduction of deviations between measurements of sensors with respect to an already optimized adjustment by manual methods.</abstract><pub>Elsevier Inc</pub><doi>10.1016/j.precisioneng.2016.02.014</doi><tpages>7</tpages></addata></record> |
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subjects | Adjustment Automation Computer programs Data fusion Deviation Laser triangulation Manuals Manufacturing Metrology Multisensor data fusion Sensors Three dimensional |
title | Enhancing multisensor data fusion on light sectioning coordinate measuring systems for the in-process inspection of freeform shaped parts |
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