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1
المؤلفون: Magnusson, Martin, 1977, Vaskevicius, Narunas, Stoyanov, Todor, 1984, Pathak, Kaustubh, Birk, Andreas
المصدر: ALLO SPENCER RobLog 2015 IEEE International Conference on Robotics and Automation (ICRA) Proceedings - IEEE International Conference on Robotics and Automation. :3631-3637
مصطلحات موضوعية: Normal distribution, robot vision, 3D scan registration algorithm, 3D scan-matching algorithm, ICP method, MUMC algorithm, NDT, benchmark protocol, iterative closest point method, large-scale investigation, local surface structure, minimally uncertain maximum consensus algorithm, normal distribution transform, robot, Benchmark testing, Gaussian distribution, Iterative closest point algorithm, Optimization, Protocols, Three-dimensional displays, Transforms, Datavetenskap, Computer Science
وصف الملف: electronic
الوصول الحر: https://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-45597Test
https://oru.diva-portal.org/smash/get/diva2:847086/FULLTEXT02.pdfTest -
2دورية أكاديمية
المؤلفون: Wang, Jing Lin, Wang, Hai Feng, Hu, Pei Jun
المصدر: Wang , J L , Wang , H F & Hu , P J 2018 , ' 不同晶体结构金属氧化物催化小分子分解的BEP关系 ' , Huadong Ligong Daxue Xuebao/Journal of East China University of Science and Technology , vol. 44 , no. 5 , pp. 707-714 . https://doi.org/10.14135/j.cnki.1006-3080.20170815001Test
مصطلحات موضوعية: BEP relation, Density functional theory, Local surface structure, Metal oxides, Transition state configuration type, /dk/atira/pure/subjectarea/asjc/1500/1500, name=General Chemical Engineering, /dk/atira/pure/subjectarea/asjc/2200/2200, name=General Engineering, /dk/atira/pure/subjectarea/asjc/2500/2505, name=Materials Chemistry
الإتاحة: https://doi.org/10.14135/j.cnki.1006-3080.20170815001Test
https://pure.qub.ac.uk/en/publications/f0cbaa66-3c30-4b2c-a927-c156d071a7d2Test -
3
المصدر: ICRA
مصطلحات موضوعية: Optimization, Matching (statistics), Pipeline (computing), Gaussian distribution, 3D scan registration algorithm, NDT, benchmark protocol, ICP method, minimally uncertain maximum consensus algorithm, Iterative closest point algorithm, Mathematics, Protocol (science), Benchmark testing, Computer Sciences, MUMC algorithm, Information and Computer Science, Iterative closest point, robot, Transforms, robot vision, iterative closest point method, local surface structure, Data set, Range (mathematics), Datavetenskap (datalogi), 3D scan-matching algorithm, Benchmark (computing), Three-dimensional displays, large-scale investigation, Normal distribution, normal distribution transform, Algorithm, Protocols
وصف الملف: application/pdf
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::efb80927ef060bb55fbf6d23fd64ec6aTest
http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-45597Test -
4مورد إلكتروني
مصطلحات الفهرس: Normal distribution, robot vision, 3D scan registration algorithm, 3D scan-matching algorithm, ICP method, MUMC algorithm, NDT, benchmark protocol, iterative closest point method, large-scale investigation, local surface structure, minimally uncertain maximum consensus algorithm, normal distribution transform, robot, Benchmark testing, Gaussian distribution, Iterative closest point algorithm, Optimization, Protocols, Three-dimensional displays, Transforms, Computer Sciences, Datavetenskap (datalogi), Conference paper, info:eu-repo/semantics/conferenceObject, text
URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-45597Test
Proceedings - IEEE International Conference on Robotics and Automation, 1050-4729 ; 2015-June
2015 IEEE International Conference on Robotics and Automation (ICRA), p. 3631-3637
info:eu-repo/grantAgreement/EC/FP7/ICT-2011-600877
info:eu-repo/grantAgreement/EC/FP7/ICT-270350 -
5مورد إلكتروني
مصطلحات الفهرس: Normal distribution, robot vision, 3D scan registration algorithm, 3D scan-matching algorithm, ICP method, MUMC algorithm, NDT, benchmark protocol, iterative closest point method, large-scale investigation, local surface structure, minimally uncertain maximum consensus algorithm, normal distribution transform, robot, Benchmark testing, Gaussian distribution, Iterative closest point algorithm, Optimization, Protocols, Three-dimensional displays, Transforms, Computer Sciences, Datavetenskap (datalogi), Conference paper, info:eu-repo/semantics/conferenceObject, text
URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-45597Test
Proceedings - IEEE International Conference on Robotics and Automation, 1050-4729 ; 2015-June
2015 IEEE International Conference on Robotics and Automation (ICRA), p. 3631-3637
info:eu-repo/grantAgreement/EC/FP7/ICT-2011-600877
info:eu-repo/grantAgreement/EC/FP7/ICT-270350 -
6مورد إلكتروني
مصطلحات الفهرس: Normal distribution, robot vision, 3D scan registration algorithm, 3D scan-matching algorithm, ICP method, MUMC algorithm, NDT, benchmark protocol, iterative closest point method, large-scale investigation, local surface structure, minimally uncertain maximum consensus algorithm, normal distribution transform, robot, Benchmark testing, Gaussian distribution, Iterative closest point algorithm, Optimization, Protocols, Three-dimensional displays, Transforms, Computer Sciences, Datavetenskap (datalogi), Conference paper, info:eu-repo/semantics/conferenceObject, text
URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-45597Test
Proceedings - IEEE International Conference on Robotics and Automation, 1050-4729 ; 2015-June
2015 IEEE International Conference on Robotics and Automation (ICRA), p. 3631-3637
info:eu-repo/grantAgreement/EC/FP7/ICT-2011-600877
info:eu-repo/grantAgreement/EC/FP7/ICT-270350 -
7مورد إلكتروني
مصطلحات الفهرس: Normal distribution, robot vision, 3D scan registration algorithm, 3D scan-matching algorithm, ICP method, MUMC algorithm, NDT, benchmark protocol, iterative closest point method, large-scale investigation, local surface structure, minimally uncertain maximum consensus algorithm, normal distribution transform, robot, Benchmark testing, Gaussian distribution, Iterative closest point algorithm, Optimization, Protocols, Three-dimensional displays, Transforms, Computer Sciences, Datavetenskap (datalogi), Conference paper, info:eu-repo/semantics/conferenceObject, text
URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-45597Test
Proceedings - IEEE International Conference on Robotics and Automation, 1050-4729 ; 2015-June
2015 IEEE International Conference on Robotics and Automation (ICRA), p. 3631-3637
info:eu-repo/grantAgreement/EC/FP7/ICT-2011-600877
info:eu-repo/grantAgreement/EC/FP7/ICT-270350 -
8مورد إلكتروني
مصطلحات الفهرس: Normal distribution, robot vision, 3D scan registration algorithm, 3D scan-matching algorithm, ICP method, MUMC algorithm, NDT, benchmark protocol, iterative closest point method, large-scale investigation, local surface structure, minimally uncertain maximum consensus algorithm, normal distribution transform, robot, Benchmark testing, Gaussian distribution, Iterative closest point algorithm, Optimization, Protocols, Three-dimensional displays, Transforms, Computer Sciences, Datavetenskap (datalogi), Conference paper, info:eu-repo/semantics/conferenceObject, text
URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-45597Test
Proceedings - IEEE International Conference on Robotics and Automation, 1050-4729 ; 2015-June
2015 IEEE International Conference on Robotics and Automation (ICRA), p. 3631-3637
info:eu-repo/grantAgreement/EC/FP7/ICT-2011-600877
info:eu-repo/grantAgreement/EC/FP7/ICT-270350