乐胖代购免代理版

{"id":"https://openalex.org/W3119443389","doi":"https://doi.org/10.3390/s21010307","title":"A Hybrid Approach to Industrial Augmented Reality Using Deep Learning-Based Facility Segmentation and Depth Prediction","display_name":"A Hybrid Approach to Industrial Augmented Reality Using Deep Learning-Based Facility Segmentation and Depth Prediction","publication_year":2021,"publication_date":"2021-01-05","ids":{"openalex":"https://openalex.org/W3119443389","doi":"https://doi.org/10.3390/s21010307","mag":"3119443389","pmid":"https://pubmed.ncbi.nlm.nih.gov/33466398","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/7796343"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21010307","pdf_url":"https://www.mdpi.com/1424-8220/21/1/307/pdf?version=1610001323","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/21/1/307/pdf?version=1610001323","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100332530","display_name":"Minseok Kim","orcid":"https://orcid.org/0000-0003-1675-8003"},"institutions":[{"id":"https://openalex.org/I878022262","display_name":"Korea Institute of Science & Technology Information","ror":"https://ror.org/01k4yrm29","country_code":"KR","type":"funder","lineage":["https://openalex.org/I878022262"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Minseok Kim","raw_affiliation_strings":["Korea Institute of Science and Technology Information (KISTI), Daejeon 34141, Korea"],"affiliations":[{"raw_affiliation_string":"Korea Institute of Science and Technology Information (KISTI), Daejeon 34141, Korea","institution_ids":["https://openalex.org/I878022262"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100332529","display_name":"Sung Ho Choi","orcid":null},"institutions":[{"id":"https://openalex.org/I111277659","display_name":"Chonnam National University","ror":"https://ror.org/05kzjxq56","country_code":"KR","type":"funder","lineage":["https://openalex.org/I111277659"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sung Ho Choi","raw_affiliation_strings":["Department of Industrial Engineering, Chonnam National University, Gwangju 61186, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Chonnam National University, Gwangju 61186, Korea","institution_ids":["https://openalex.org/I111277659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042382229","display_name":"Kyeong-Beom Park","orcid":"https://orcid.org/0000-0003-4737-730X"},"institutions":[{"id":"https://openalex.org/I111277659","display_name":"Chonnam National University","ror":"https://ror.org/05kzjxq56","country_code":"KR","type":"funder","lineage":["https://openalex.org/I111277659"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyeong-Beom Park","raw_affiliation_strings":["Department of Industrial Engineering, Chonnam National University, Gwangju 61186, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Chonnam National University, Gwangju 61186, Korea","institution_ids":["https://openalex.org/I111277659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101767652","display_name":"Jae Yeol Lee","orcid":"https://orcid.org/0000-0002-2653-0742"},"institutions":[{"id":"https://openalex.org/I111277659","display_name":"Chonnam National University","ror":"https://ror.org/05kzjxq56","country_code":"KR","type":"funder","lineage":["https://openalex.org/I111277659"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jae Yeol Lee","raw_affiliation_strings":["Department of Industrial Engineering, Chonnam National University, Gwangju 61186, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Chonnam National University, Gwangju 61186, Korea","institution_ids":["https://openalex.org/I111277659"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101767652"],"corresponding_institution_ids":["https://openalex.org/I111277659"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":1.583,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.810288,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":92},"biblio":{"volume":"21","issue":"1","first_page":"307","last_page":"307"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10888","display_name":"Augmented Reality Applications","score":0.9994,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10888","display_name":"Augmented Reality Applications","score":0.9994,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9984,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9962,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.45043093}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7666817},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7467269},{"id":"https://openalex.org/C153715457","wikidata":"https://www.wikidata.org/wiki/Q254183","display_name":"Augmented reality","level":2,"score":0.71795523},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.67250395},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6667914},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6122211},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.55014247},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.53189945},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.45609346},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.45043093},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21010307","pdf_url":"https://www.mdpi.com/1424-8220/21/1/307/pdf?version=1610001323","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":false,"landing_page_url":"https://doaj.org/article/23c5c70928a24f678da4f893028c971f","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://europepmc.org/articles/pmc7796343","pdf_url":"https://europepmc.org/articles/pmc7796343?pdf=render","source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":["European Bioinformatics Institute"],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7796343","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":["National Institutes of Health"],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21010307","pdf_url":"https://www.mdpi.com/1424-8220/21/1/307/pdf?version=1610001323","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.55,"display_name":"Industry, innovation and infrastructure"}],"grants":[{"funder":"https://openalex.org/F4320322107","funder_display_name":"Korea Health Industry Development Institute","award_id":"HI19C0642"},{"funder":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea","award_id":"NRF-2019R1I1A3A01059082"}],"datasets":[],"versions":[],"referenced_works_count":37,"referenced_works":["https://openalex.org/W1967139035","https://openalex.org/W1972291043","https://openalex.org/W2002827932","https://openalex.org/W2012657274","https://openalex.org/W2032680804","https://openalex.org/W2038969306","https://openalex.org/W2129840796","https://openalex.org/W2195307056","https://openalex.org/W2204862353","https://openalex.org/W2276698927","https://openalex.org/W2382688314","https://openalex.org/W2418916695","https://openalex.org/W2540977113","https://openalex.org/W2541220018","https://openalex.org/W2562928371","https://openalex.org/W2570095262","https://openalex.org/W2603195173","https://openalex.org/W2765688352","https://openalex.org/W2765905086","https://openalex.org/W2767346351","https://openalex.org/W2784109655","https://openalex.org/W2787469566","https://openalex.org/W2790112892","https://openalex.org/W2792444131","https://openalex.org/W2795856457","https://openalex.org/W2846874919","https://openalex.org/W2899026724","https://openalex.org/W2944037117","https://openalex.org/W2952659826","https://openalex.org/W2963150697","https://openalex.org/W2963760790","https://openalex.org/W2964737083","https://openalex.org/W2979186555","https://openalex.org/W3034447159","https://openalex.org/W3035052333","https://openalex.org/W4254068085","https://openalex.org/W639708223"],"related_works":["https://openalex.org/W4382054174","https://openalex.org/W3158001554","https://openalex.org/W2991048842","https://openalex.org/W2957704286","https://openalex.org/W2771909920","https://openalex.org/W2750280393","https://openalex.org/W2355696739","https://openalex.org/W2179141964","https://openalex.org/W2172197285","https://openalex.org/W2028936041"],"abstract_inverted_index":{"Typical":[0],"AR":[1,23,28,51,55,66,95,106,169,190,222],"methods":[2,56],"have":[3],"generic":[4],"problems":[5,149],"such":[6,164],"as":[7,113,165,182],"visual":[8,145,204],"mismatching,":[9],"incorrect":[10],"occlusions,":[11],"and":[12,25,62,68,147,209,251],"limited":[13],"augmentation":[14],"due":[15],"to":[16,19,49,88,104,108,188,238,242],"the":[17,27,35,73,89,94,105,110,119,124,134,144,176,198,213,216,230,248],"inability":[18],"estimate":[20,109],"depth":[21,63,70,99,111],"from":[22,38,93],"images":[24],"attaching":[26],"markers":[29,67],"onto":[30],"physical":[31,76,135],"objects,":[32],"which":[33,139],"prevents":[34],"industrial":[36,50,199],"worker":[37,200],"conducting":[39],"manufacturing":[40,239],"tasks":[41],"effectively.":[42],"This":[43],"paper":[44],"proposes":[45],"a":[46,69,82,98,114,157,161,166,183],"hybrid":[47,184],"approach":[48,178,218],"for":[52,118],"complementing":[53,186],"existing":[54,189,221],"using":[57],"deep":[58,83],"learning-based":[59,84],"facility":[60],"segmentation":[61,86],"prediction":[64,100],"without":[65],"camera.":[71,96],"First,":[72],"outlines":[74],"of":[75,203,215,253],"objects":[77,136],"are":[78,137],"extracted":[79],"by":[80],"applying":[81],"instance":[85],"method":[87,101,232],"RGB":[90],"image":[91,107],"acquired":[92],"Simultaneously,":[97],"is":[102],"applied":[103,235],"map":[112],"3D":[115,126,130],"point":[116,127],"cloud":[117,128],"detected":[120],"object.":[121],"Based":[122],"on":[123],"segmented":[125],"data,":[129],"spatial":[131],"relationships":[132],"among":[133],"calculated,":[138],"can":[140,154,179,194,233],"assist":[141],"in":[142],"solving":[143],"mismatch":[146],"occlusion":[148],"properly.":[150],"In":[151],"addition,":[152],"it":[153,193],"deal":[155],"with":[156,220],"dynamically":[158],"operating":[159],"or":[160,185,206],"moving":[162],"facility,":[163],"robot\u2014the":[167],"conventional":[168],"cannot":[170],"do":[171],"so.":[172],"For":[173],"these":[174],"reasons,":[175],"proposed":[177,217,231,255],"be":[180,195,234],"utilized":[181],"function":[187],"methods,":[191],"since":[192],"activated":[196],"whenever":[197],"requires":[201],"handing":[202],"mismatches":[205],"occlusions.":[207],"Quantitative":[208],"qualitative":[210],"analyses":[211],"verify":[212],"advantage":[214],"compared":[219],"methods.":[223],"Some":[224],"case":[225],"studies":[226,246],"also":[227,241],"prove":[228],"that":[229],"not":[236],"only":[237],"but":[240],"other":[243],"fields.":[244],"These":[245],"confirm":[247],"scalability,":[249],"effectiveness,":[250],"originality":[252],"this":[254],"approach.":[256]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3119443389","counts_by_year":[{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2}],"updated_date":"2025-03-22T15:38:27.126193","created_date":"2021-01-18"}