Matches in SemOpenAlex for { <https://semopenalex.org/work/W2402091223> ?p ?o ?g. }
Showing items 1 to 93 of
93
with 100 items per page.
- W2402091223 endingPage "211" @default.
- W2402091223 startingPage "203" @default.
- W2402091223 abstract "The demand for three-dimensional (3D) modeling of as-built or as-is pipelines that occupy large areas in operating plants has been growing in recent times. In practice, although measurements can be efficiently performed by the use of laser-scanning technology, generating a pipeline model from laser-scan data remains challenging, possibly due to the data characteristics. This paper proposes a method for generating 3D models of entire pipelines, including straight pipes, elbows, reducers, and tee pipes, from laser-scan data. The proposed method comprises three main tasks: (1) identifying the existence and location of entire pipelines from laser-scan data, (2) segmenting each pipeline surface into its constituent forms (straight pipe, elbow, reducer, and tee), and (3) reconstructing the geometry of the individual pipelines and generating a 3D model of it. Field experiments were performed at two different operating industrial plants to validate the method. Evaluation of the quantitative results reveals that the proposed method can indeed be used for the automation of 3D modeling of the pipelines in industrial plants—and to be capable of producing such models with high accuracy." @default.
- W2402091223 created "2016-06-24" @default.
- W2402091223 creator A5042227413 @default.
- W2402091223 creator A5048756233 @default.
- W2402091223 date "2016-08-01" @default.
- W2402091223 modified "2023-10-11" @default.
- W2402091223 title "Automatic segmentation and 3D modeling of pipelines into constituent parts from laser-scan data of the built environment" @default.
- W2402091223 cites W1571903820 @default.
- W2402091223 cites W1577592929 @default.
- W2402091223 cites W1653887546 @default.
- W2402091223 cites W1940623076 @default.
- W2402091223 cites W1974579155 @default.
- W2402091223 cites W1975287964 @default.
- W2402091223 cites W1977186894 @default.
- W2402091223 cites W1978413157 @default.
- W2402091223 cites W1981871378 @default.
- W2402091223 cites W1990232547 @default.
- W2402091223 cites W1995450822 @default.
- W2402091223 cites W1998056562 @default.
- W2402091223 cites W2014498970 @default.
- W2402091223 cites W2024716971 @default.
- W2402091223 cites W2029075524 @default.
- W2402091223 cites W2029492929 @default.
- W2402091223 cites W2037478960 @default.
- W2402091223 cites W2041094000 @default.
- W2402091223 cites W2046570691 @default.
- W2402091223 cites W2055569426 @default.
- W2402091223 cites W2059358079 @default.
- W2402091223 cites W2070704467 @default.
- W2402091223 cites W2077017113 @default.
- W2402091223 cites W2086197762 @default.
- W2402091223 cites W2113748593 @default.
- W2402091223 cites W2118627609 @default.
- W2402091223 cites W2123291210 @default.
- W2402091223 cites W2131009518 @default.
- W2402091223 cites W1997668165 @default.
- W2402091223 doi "https://doi.org/10.1016/j.autcon.2016.05.010" @default.
- W2402091223 hasPublicationYear "2016" @default.
- W2402091223 type Work @default.
- W2402091223 sameAs 2402091223 @default.
- W2402091223 citedByCount "27" @default.
- W2402091223 countsByYear W24020912232017 @default.
- W2402091223 countsByYear W24020912232018 @default.
- W2402091223 countsByYear W24020912232019 @default.
- W2402091223 countsByYear W24020912232020 @default.
- W2402091223 countsByYear W24020912232021 @default.
- W2402091223 countsByYear W24020912232022 @default.
- W2402091223 countsByYear W24020912232023 @default.
- W2402091223 crossrefType "journal-article" @default.
- W2402091223 hasAuthorship W2402091223A5042227413 @default.
- W2402091223 hasAuthorship W2402091223A5048756233 @default.
- W2402091223 hasConcept C115901376 @default.
- W2402091223 hasConcept C127413603 @default.
- W2402091223 hasConcept C154945302 @default.
- W2402091223 hasConcept C175309249 @default.
- W2402091223 hasConcept C199104240 @default.
- W2402091223 hasConcept C199639397 @default.
- W2402091223 hasConcept C41008148 @default.
- W2402091223 hasConcept C43521106 @default.
- W2402091223 hasConcept C78519656 @default.
- W2402091223 hasConcept C89600930 @default.
- W2402091223 hasConceptScore W2402091223C115901376 @default.
- W2402091223 hasConceptScore W2402091223C127413603 @default.
- W2402091223 hasConceptScore W2402091223C154945302 @default.
- W2402091223 hasConceptScore W2402091223C175309249 @default.
- W2402091223 hasConceptScore W2402091223C199104240 @default.
- W2402091223 hasConceptScore W2402091223C199639397 @default.
- W2402091223 hasConceptScore W2402091223C41008148 @default.
- W2402091223 hasConceptScore W2402091223C43521106 @default.
- W2402091223 hasConceptScore W2402091223C78519656 @default.
- W2402091223 hasConceptScore W2402091223C89600930 @default.
- W2402091223 hasFunder F4320321408 @default.
- W2402091223 hasFunder F4320322120 @default.
- W2402091223 hasLocation W24020912231 @default.
- W2402091223 hasOpenAccess W2402091223 @default.
- W2402091223 hasPrimaryLocation W24020912231 @default.
- W2402091223 hasRelatedWork W2049652730 @default.
- W2402091223 hasRelatedWork W2056926904 @default.
- W2402091223 hasRelatedWork W2183293231 @default.
- W2402091223 hasRelatedWork W2357506238 @default.
- W2402091223 hasRelatedWork W2367598641 @default.
- W2402091223 hasRelatedWork W2989254254 @default.
- W2402091223 hasRelatedWork W4220935756 @default.
- W2402091223 hasRelatedWork W4381571215 @default.
- W2402091223 hasRelatedWork W48058006 @default.
- W2402091223 hasRelatedWork W64709489 @default.
- W2402091223 hasVolume "68" @default.
- W2402091223 isParatext "false" @default.
- W2402091223 isRetracted "false" @default.
- W2402091223 magId "2402091223" @default.
- W2402091223 workType "article" @default.