FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2914857582> ?p ?o ?g. }

• W2914857582 endingPage "744" @default.
• W2914857582 startingPage "744" @default.
• W2914857582 abstract "Periodic health checks of contouring errors under unloaded conditions are critical for machine performance evaluation and value-added manufacturing. Aiming at breaking the dimension, range and speed measurement limitations of the existing devices, a cost-effective knowledge-driven approach for detecting error motions of arbitrary paths using a single camera is proposed. In combination with the PNP algorithm, the three-dimensional (3D) evaluation of large-scale contouring error in relatively high feed rate conditions can be deduced from a priori geometrical knowledge. The innovations of this paper focus on improving the accuracy, efficiency and ability of the vision measurement. Firstly, a camera calibration method considering distortion partition of the depth-of-field (DOF) is presented to give an accurate description of the distortion behavior in the entire photography domain. Then, to maximize the utilization of the decimal involved in the feature encoding, new high-efficient encoding markers are designed on a cooperative target to characterize motion information of the machine. Accordingly, in the image processing, markers are automatically identified and located by the proposed decoding method based on finding the optimal start bit. Finally, with the selected imaging parameters and the precalibrated position of each marker, the 3D measurement of large-scale contouring error under relatively high dynamic conditions can be realized by comparing the curve that is measured by PNP algorithm with the nominal one. Both detection and verification experiments are conducted for two types of paths (i.e., planar and spatial trajectory), and experimental results validate the measurement accuracy and advantages of the proposed method." @default.
• W2914857582 created "2019-02-21" @default.
• W2914857582 creator A5035339773 @default.
• W2914857582 creator A5036084837 @default.
• W2914857582 creator A5068003384 @default.
• W2914857582 creator A5069970942 @default.
• W2914857582 creator A5071037763 @default.
• W2914857582 date "2019-02-12" @default.
• W2914857582 modified "2023-10-18" @default.
• W2914857582 title "A Knowledge-Driven Approach for 3D High Temporal-Spatial Measurement of an Arbitrary Contouring Error of CNC Machine Tools Using Monocular Vision" @default.
• W2914857582 cites W1043992842 @default.
• W2914857582 cites W1979449810 @default.
• W2914857582 cites W1981647077 @default.
• W2914857582 cites W1981838797 @default.
• W2914857582 cites W1998120481 @default.
• W2914857582 cites W2012569707 @default.
• W2914857582 cites W2014532882 @default.
• W2914857582 cites W2016159573 @default.
• W2914857582 cites W2019673552 @default.
• W2914857582 cites W2021206267 @default.
• W2914857582 cites W2022538177 @default.
• W2914857582 cites W2029039331 @default.
• W2914857582 cites W2053231447 @default.
• W2914857582 cites W2059531497 @default.
• W2914857582 cites W2075346307 @default.
• W2914857582 cites W2085261163 @default.
• W2914857582 cites W2087916491 @default.
• W2914857582 cites W2092614276 @default.
• W2914857582 cites W2135611875 @default.
• W2914857582 cites W2162440713 @default.
• W2914857582 cites W2167667767 @default.
• W2914857582 cites W2171777235 @default.
• W2914857582 cites W2211390032 @default.
• W2914857582 cites W2561015269 @default.
• W2914857582 cites W2589731605 @default.
• W2914857582 cites W2606732459 @default.
• W2914857582 cites W2607223110 @default.
• W2914857582 cites W2608522171 @default.
• W2914857582 cites W2731046959 @default.
• W2914857582 cites W2751094398 @default.
• W2914857582 cites W2752393178 @default.
• W2914857582 cites W2765377992 @default.
• W2914857582 cites W2770609462 @default.
• W2914857582 cites W2894486437 @default.
• W2914857582 cites W2900648000 @default.
• W2914857582 doi "https://doi.org/10.3390/s19030744" @default.
• W2914857582 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6387178" @default.
• W2914857582 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30759847" @default.
• W2914857582 hasPublicationYear "2019" @default.
• W2914857582 type Work @default.
• W2914857582 sameAs 2914857582 @default.
• W2914857582 citedByCount "12" @default.
• W2914857582 countsByYear W29148575822019 @default.
• W2914857582 countsByYear W29148575822020 @default.
• W2914857582 countsByYear W29148575822021 @default.
• W2914857582 countsByYear W29148575822022 @default.
• W2914857582 countsByYear W29148575822023 @default.
• W2914857582 crossrefType "journal-article" @default.
• W2914857582 hasAuthorship W2914857582A5035339773 @default.
• W2914857582 hasAuthorship W2914857582A5036084837 @default.
• W2914857582 hasAuthorship W2914857582A5068003384 @default.
• W2914857582 hasAuthorship W2914857582A5069970942 @default.
• W2914857582 hasAuthorship W2914857582A5071037763 @default.
• W2914857582 hasBestOaLocation W29148575821 @default.
• W2914857582 hasConcept C111919701 @default.
• W2914857582 hasConcept C11413529 @default.
• W2914857582 hasConcept C118505674 @default.
• W2914857582 hasConcept C121684516 @default.
• W2914857582 hasConcept C126780896 @default.
• W2914857582 hasConcept C154945302 @default.
• W2914857582 hasConcept C194257627 @default.
• W2914857582 hasConcept C2776257435 @default.
• W2914857582 hasConcept C2779104521 @default.
• W2914857582 hasConcept C31258907 @default.
• W2914857582 hasConcept C31972630 @default.
• W2914857582 hasConcept C41008148 @default.
• W2914857582 hasConcept C65909025 @default.
• W2914857582 hasConceptScore W2914857582C111919701 @default.
• W2914857582 hasConceptScore W2914857582C11413529 @default.
• W2914857582 hasConceptScore W2914857582C118505674 @default.
• W2914857582 hasConceptScore W2914857582C121684516 @default.
• W2914857582 hasConceptScore W2914857582C126780896 @default.
• W2914857582 hasConceptScore W2914857582C154945302 @default.
• W2914857582 hasConceptScore W2914857582C194257627 @default.
• W2914857582 hasConceptScore W2914857582C2776257435 @default.
• W2914857582 hasConceptScore W2914857582C2779104521 @default.
• W2914857582 hasConceptScore W2914857582C31258907 @default.
• W2914857582 hasConceptScore W2914857582C31972630 @default.
• W2914857582 hasConceptScore W2914857582C41008148 @default.
• W2914857582 hasConceptScore W2914857582C65909025 @default.
• W2914857582 hasFunder F4320321001 @default.
• W2914857582 hasFunder F4320326152 @default.
• W2914857582 hasIssue "3" @default.
• W2914857582 hasLocation W29148575821 @default.
• W2914857582 hasLocation W29148575822 @default.
• W2914857582 hasLocation W29148575823 @default.
• W2914857582 hasLocation W29148575824 @default.
• W2914857582 hasLocation W29148575825 @default.

• next