{"id":"https://openalex.org/W4407955356","doi":"https://doi.org/10.1061/jccee5.cpeng-6303","title":"An Efficient Three-Dimensional Point Cloud Segmentation Method for the Dimensional Quality Assessment of Precast Concrete Components Utilizing Multiview Information Fusion","display_name":"An Efficient Three-Dimensional Point Cloud Segmentation Method for the Dimensional Quality Assessment of Precast Concrete Components Utilizing Multiview Information Fusion","publication_year":2025,"publication_date":"2025-02-27","ids":{"openalex":"https://openalex.org/W4407955356","doi":"https://doi.org/10.1061/jccee5.cpeng-6303"},"language":"en","primary_location":{"id":"doi:10.1061/jccee5.cpeng-6303","is_oa":false,"landing_page_url":"https://doi.org/10.1061/jccee5.cpeng-6303","pdf_url":null,"source":{"id":"https://openalex.org/S176637136","display_name":"Journal of Computing in Civil Engineering","issn_l":"0887-3801","issn":["0887-3801","1943-5487"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315747","host_organization_name":"American Society of Civil Engineers","host_organization_lineage":["https://openalex.org/P4310315747"],"host_organization_lineage_names":["American Society of Civil Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computing in Civil Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017963617","display_name":"Hua\u2010Ping Wan","orcid":"https://orcid.org/0000-0001-6111-9441"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua-Ping Wan","raw_affiliation_strings":["Zhejiang Univ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang Univ","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5118983684","display_name":"Wenjie Zhang","orcid":"https://orcid.org/0009-0001-3591-2830"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen-Jie Zhang","raw_affiliation_strings":["Zhejiang Univ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang Univ","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100693929","display_name":"Yi Chen","orcid":"https://orcid.org/0000-0001-5919-6413"},"institutions":[{"id":"https://openalex.org/I4210108865","display_name":"Zhejiang Institute of Communications","ror":"https://ror.org/01q17sd51","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210108865"]},{"id":"https://openalex.org/I4210130035","display_name":"China Communications Construction Company (China)","ror":"https://ror.org/03q3een69","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210130035"]},{"id":"https://openalex.org/I4210153035","display_name":"Shanghai Construction Group (China)","ror":"https://ror.org/04azzhq34","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210153035"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Chen","raw_affiliation_strings":["Zhejiang Communications Construction Group Co., Ltd","Zhejiang Univ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang Communications Construction Group Co., Ltd","institution_ids":["https://openalex.org/I4210108865","https://openalex.org/I4210130035","https://openalex.org/I4210153035"]},{"raw_affiliation_string":"Zhejiang Univ","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102902487","display_name":"Yaozhi Luo","orcid":"https://orcid.org/0000-0001-5342-0904"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaozhi Luo","raw_affiliation_strings":["Zhejiang Univ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang Univ","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052874876","display_name":"Michael D. Todd","orcid":"https://orcid.org/0000-0002-4492-5887"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael D. Todd","raw_affiliation_strings":["Univ. of California, San Diego"],"raw_orcid":"https://orcid.org/0000-0002-4492-5887","affiliations":[{"raw_affiliation_string":"Univ. of California, San Diego","institution_ids":["https://openalex.org/I36258959"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":12.541,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.98819636,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"39","issue":"3","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9998999834060669,"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/precast-concrete","display_name":"Precast concrete","score":0.9119125604629517},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.7416975498199463},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5494737029075623},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5472476482391357},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5275318622589111},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4982719421386719},{"id":"https://openalex.org/keywords/quality-assessment","display_name":"Quality assessment","score":0.48232266306877136},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4506509602069855},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4254133701324463},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.38814207911491394},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3470120429992676},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34203028678894043},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32829850912094116},{"id":"https://openalex.org/keywords/engineering-drawing","display_name":"Engineering drawing","score":0.3217165470123291},{"id":"https://openalex.org/keywords/structural-engineering","display_name":"Structural engineering","score":0.317141592502594},{"id":"https://openalex.org/keywords/evaluation-methods","display_name":"Evaluation methods","score":0.16228288412094116},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.15952610969543457},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09577637910842896}],"concepts":[{"id":"https://openalex.org/C125450124","wikidata":"https://www.wikidata.org/wiki/Q831541","display_name":"Precast concrete","level":2,"score":0.9119125604629517},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7416975498199463},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5494737029075623},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5472476482391357},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5275318622589111},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4982719421386719},{"id":"https://openalex.org/C3020001037","wikidata":"https://www.wikidata.org/wiki/Q836575","display_name":"Quality assessment","level":3,"score":0.48232266306877136},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4506509602069855},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4254133701324463},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.38814207911491394},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3470120429992676},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34203028678894043},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32829850912094116},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.3217165470123291},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.317141592502594},{"id":"https://openalex.org/C3018395757","wikidata":"https://www.wikidata.org/wiki/Q1379672","display_name":"Evaluation methods","level":2,"score":0.16228288412094116},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.15952610969543457},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09577637910842896},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1061/jccee5.cpeng-6303","is_oa":false,"landing_page_url":"https://doi.org/10.1061/jccee5.cpeng-6303","pdf_url":null,"source":{"id":"https://openalex.org/S176637136","display_name":"Journal of Computing in Civil Engineering","issn_l":"0887-3801","issn":["0887-3801","1943-5487"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315747","host_organization_name":"American Society of Civil Engineers","host_organization_lineage":["https://openalex.org/P4310315747"],"host_organization_lineage_names":["American Society of Civil Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computing in Civil Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W1673310716","https://openalex.org/W1994699846","https://openalex.org/W2009070339","https://openalex.org/W2026950612","https://openalex.org/W2033979122","https://openalex.org/W2067191022","https://openalex.org/W2124313187","https://openalex.org/W2131009518","https://openalex.org/W2167667767","https://openalex.org/W2471962767","https://openalex.org/W2517726615","https://openalex.org/W2519683295","https://openalex.org/W2526166515","https://openalex.org/W2560609797","https://openalex.org/W2630837129","https://openalex.org/W2767318950","https://openalex.org/W2782344141","https://openalex.org/W2792784869","https://openalex.org/W2884585870","https://openalex.org/W2920881684","https://openalex.org/W2921343170","https://openalex.org/W2954804933","https://openalex.org/W2969350702","https://openalex.org/W2983364583","https://openalex.org/W3000045134","https://openalex.org/W3008227238","https://openalex.org/W3033178564","https://openalex.org/W3036860105","https://openalex.org/W3043075211","https://openalex.org/W3043650969","https://openalex.org/W3111535274","https://openalex.org/W3113650215","https://openalex.org/W3119584808","https://openalex.org/W3127982036","https://openalex.org/W3143963681","https://openalex.org/W3152628576","https://openalex.org/W3153465022","https://openalex.org/W3177330511","https://openalex.org/W3180312551","https://openalex.org/W3208474673","https://openalex.org/W4211111745","https://openalex.org/W4213015249","https://openalex.org/W4213283474","https://openalex.org/W4214703423","https://openalex.org/W4224950022","https://openalex.org/W4225413462","https://openalex.org/W4284977113","https://openalex.org/W4309451731","https://openalex.org/W4309768015","https://openalex.org/W4311434603","https://openalex.org/W4315643714","https://openalex.org/W4327694343","https://openalex.org/W4361279450","https://openalex.org/W4365455888","https://openalex.org/W4366257146","https://openalex.org/W4366577357","https://openalex.org/W4385513494","https://openalex.org/W4385541341","https://openalex.org/W4385704209","https://openalex.org/W4391242497","https://openalex.org/W4392672388"],"related_works":["https://openalex.org/W4214875542","https://openalex.org/W2382955806","https://openalex.org/W648475852","https://openalex.org/W4298335583","https://openalex.org/W2032329706","https://openalex.org/W3041004952","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2152662039"],"abstract_inverted_index":{"Significant":[0],"discrepancies":[1],"between":[2,196],"the":[3,22,36,63,99,118,136,141,157,164,183,187,193,197,201,212,215,220,228],"actual":[4,202],"and":[5,18,60,84,139,180,192,200,226],"designed":[6],"dimensions":[7,199,203],"of":[8,28,40,66,103,121,214,223],"precast":[9],"concrete":[10],"(PC)":[11],"components":[12,69,123,225],"can":[13,34],"result":[14],"in":[15,218],"construction":[16],"delays":[17],"extensive":[19],"rework,":[20],"highlighting":[21],"imperative":[23],"for":[24,47,98],"dimensional":[25,48,100,165,229],"quality":[26,49,101,166,230],"assessment":[27,102],"these":[29,71],"components.":[30,105],"Point":[31],"cloud":[32,77,92,120,147,172],"technology":[33],"restore":[35],"three-dimensional":[37],"(3D)":[38],"information":[39],"objects,":[41],"serving":[42],"as":[43],"an":[44,107,128],"effective":[45],"tool":[46],"assessment.":[50,167,231],"The":[51,209],"original":[52],"point":[53,73,76,91,119,146,161,171,221],"clouds":[54,222],"often":[55],"contain":[56],"substantial":[57],"nonessential":[58],"data":[59],"outliers,":[61],"necessitating":[62],"automatic":[64],"extraction":[65],"relevant":[67],"PC":[68,104,122,159,224],"from":[70,81,110,124],"complex":[72],"clouds.":[74],"Existing":[75],"segmentation":[78,93,148,173],"methods":[79,174],"suffer":[80],"insufficient":[82],"accuracy":[83],"high":[85],"cost.":[86],"This":[87],"study":[88],"proposes":[89],"a":[90,145],"method":[94,113,149,185,217],"employing":[95],"multiview":[96,125,137,151],"fusion":[97,152],"First,":[106],"improved":[108,129],"structure":[109],"motion":[111],"(SfM)":[112],"is":[114,132,153],"used":[115,133],"to":[116,134,155,169],"reconstruct":[117],"images.":[126],"Second,":[127],"DeepLabv3":[130],"model":[131],"segment":[135],"images":[138],"generate":[140],"corresponding":[142],"masks.":[143],"Third,":[144],"using":[150],"proposed":[154,184,216],"extract":[156],"target":[158],"component":[160],"cloud,":[162],"facilitating":[163,227],"Compared":[168],"traditional":[170],"(i.e.,":[175],"DBSCAN,":[176],"K-means,":[177],"mean":[178],"shift,":[179],"region":[181],"growing),":[182],"achieves":[186],"highest":[188],"F-score":[189],"exceeding":[190],"99.5%,":[191],"relative":[194],"errors":[195],"calculated":[198],"measured":[204],"manually":[205],"are":[206],"below":[207],"1.3%.":[208],"results":[210],"demonstrate":[211],"effectiveness":[213],"segmenting":[219]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":6}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}