{"id":"https://openalex.org/W4408100571","doi":"https://doi.org/10.1109/tim.2025.3547100","title":"Uncertainty-Aware Laser Stripe Segmentation With Nonlocal Mechanisms for Welding Robots","display_name":"Uncertainty-Aware Laser Stripe Segmentation With Nonlocal Mechanisms for Welding Robots","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4408100571","doi":"https://doi.org/10.1109/tim.2025.3547100"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2025.3547100","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2025.3547100","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","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/A5089449805","display_name":"Yixiang Dai","orcid":"https://orcid.org/0009-0000-7501-5504"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yixiang Dai","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0000-7501-5504","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062232744","display_name":"Siang Chen","orcid":"https://orcid.org/0000-0002-9235-6439"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siang Chen","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-9235-6439","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025644552","display_name":"Tianyu Sun","orcid":"https://orcid.org/0009-0001-3918-2329"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianyu Sun","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0001-3918-2329","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021800624","display_name":"Zimo Fan","orcid":"https://orcid.org/0009-0002-4918-9476"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zimo Fan","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0002-4918-9476","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014997289","display_name":"C. Zhang","orcid":"https://orcid.org/0009-0009-3865-963X"},"institutions":[{"id":"https://openalex.org/I4210099020","display_name":"Beijing Biocytogen (China)","ror":"https://ror.org/01spyyb53","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210099020"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chun Zhang","raw_affiliation_strings":["Beijing Botsing Technology Company Ltd., Beijing, China","Beijing Botsing Technology Co., Ltd, China"],"raw_orcid":"https://orcid.org/0009-0009-3865-963X","affiliations":[{"raw_affiliation_string":"Beijing Botsing Technology Company Ltd., Beijing, China","institution_ids":["https://openalex.org/I4210099020"]},{"raw_affiliation_string":"Beijing Botsing Technology Co., Ltd, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000400540","display_name":"Xiaobing Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210099020","display_name":"Beijing Biocytogen (China)","ror":"https://ror.org/01spyyb53","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210099020"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaobing Feng","raw_affiliation_strings":["Beijing Botsing Technology Company Ltd., Beijing, China","Beijing Botsing Technology Co., Ltd, China"],"raw_orcid":"https://orcid.org/0009-0008-3624-5807","affiliations":[{"raw_affiliation_string":"Beijing Botsing Technology Company Ltd., Beijing, China","institution_ids":["https://openalex.org/I4210099020"]},{"raw_affiliation_string":"Beijing Botsing Technology Co., Ltd, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045183950","display_name":"Guijin Wang","orcid":"https://orcid.org/0000-0002-2131-3044"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guijin Wang","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-2131-3044","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0363,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.71540285,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"74","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10834","display_name":"Welding Techniques and Residual Stresses","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10834","display_name":"Welding Techniques and Residual Stresses","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T11583","display_name":"Advanced Measurement and Metrology Techniques","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T13049","display_name":"Surface Roughness and Optical Measurements","score":0.9865999817848206,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/robot","display_name":"Robot","score":0.7124881744384766},{"id":"https://openalex.org/keywords/welding","display_name":"Welding","score":0.5910791158676147},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5261537432670593},{"id":"https://openalex.org/keywords/laser","display_name":"Laser","score":0.5164749622344971},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46691039204597473},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44833970069885254},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42483603954315186},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.3757789731025696},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.25786852836608887},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.14826563000679016},{"id":"https://openalex.org/keywords/composite-material","display_name":"Composite material","score":0.09306633472442627}],"concepts":[{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.7124881744384766},{"id":"https://openalex.org/C19474535","wikidata":"https://www.wikidata.org/wiki/Q131172","display_name":"Welding","level":2,"score":0.5910791158676147},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5261537432670593},{"id":"https://openalex.org/C520434653","wikidata":"https://www.wikidata.org/wiki/Q38867","display_name":"Laser","level":2,"score":0.5164749622344971},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46691039204597473},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44833970069885254},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42483603954315186},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.3757789731025696},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.25786852836608887},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.14826563000679016},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.09306633472442627}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2025.3547100","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2025.3547100","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W170047185","https://openalex.org/W1901129140","https://openalex.org/W1987581727","https://openalex.org/W2003368991","https://openalex.org/W2051049288","https://openalex.org/W2068865910","https://openalex.org/W2124616079","https://openalex.org/W2134092095","https://openalex.org/W2156155065","https://openalex.org/W2167667767","https://openalex.org/W2762439315","https://openalex.org/W2793074270","https://openalex.org/W2793883288","https://openalex.org/W2894197539","https://openalex.org/W2963881378","https://openalex.org/W2979009279","https://openalex.org/W2998623274","https://openalex.org/W3015431291","https://openalex.org/W3016818713","https://openalex.org/W3054226980","https://openalex.org/W3094302006","https://openalex.org/W3095704867","https://openalex.org/W3110365712","https://openalex.org/W3119205652","https://openalex.org/W3156009749","https://openalex.org/W3156290881","https://openalex.org/W3172759863","https://openalex.org/W3194210916","https://openalex.org/W3214239281","https://openalex.org/W4210302585","https://openalex.org/W4281651306","https://openalex.org/W4315630747","https://openalex.org/W4391812864","https://openalex.org/W4392936874","https://openalex.org/W4393140546","https://openalex.org/W4400132620","https://openalex.org/W4403685085","https://openalex.org/W6735443497","https://openalex.org/W6737664043","https://openalex.org/W6797399245"],"related_works":["https://openalex.org/W2262409920","https://openalex.org/W3192220280","https://openalex.org/W2514640320","https://openalex.org/W2549651119","https://openalex.org/W2393201117","https://openalex.org/W1995340519","https://openalex.org/W4220851919","https://openalex.org/W2969591342","https://openalex.org/W2356243972","https://openalex.org/W2322861729"],"abstract_inverted_index":{"The":[0,64,123],"line-structured-light":[1],"system":[2],"has":[3],"been":[4],"widely":[5],"adopted":[6],"for":[7],"weld":[8,116],"seam":[9,117],"reconstruction":[10],"and":[11,120,142],"tracking":[12],"in":[13,36,137],"intelligent":[14],"welding":[15,37,62,112],"robots.":[16],"However,":[17],"extracting":[18],"projected":[19],"laser":[20,48,56,97,107,139],"stripes":[21],"from":[22],"captured":[23],"images":[24,113],"remains":[25],"a":[26,45],"significant":[27,135],"challenge":[28],"due":[29],"to":[30,53,88,130],"the":[31,94],"presence":[32],"of":[33,96],"intense":[34],"noises":[35],"environments.":[38],"In":[39,81],"this":[40],"work,":[41],"we":[42],"propose":[43],"an":[44,68],"uncertainty-aware":[46,69],"nonlocal":[47,83],"stripe":[49,57,108,140],"segmentation":[50,74,132],"network":[51],"(UNLS-Net)":[52],"achieve":[54],"precise":[55],"extraction":[58],"under":[59],"real-world,":[60],"challenging":[61],"conditions.":[63],"proposed":[65,124],"framework":[66],"designs":[67],"policy":[70],"that":[71],"refines":[72],"coarse":[73],"results":[75],"using":[76],"combined":[77],"epistemic-aleatoric":[78],"uncertainty":[79],"maps.":[80],"addition,":[82],"attention":[84],"modules":[85],"are":[86,101],"incorporated":[87],"enhance":[89],"spatial":[90],"correlation,":[91],"thereby":[92],"preserving":[93],"continuity":[95,141],"stripes.":[98],"Comprehensive":[99],"experiments":[100],"conducted":[102],"on":[103],"our":[104],"large-scale,":[105],"shape-diverse":[106],"dataset":[109],"comprising":[110],"3136":[111],"with":[114],"varying":[115],"geometries,":[118],"sizes,":[119],"noise":[121],"profiles.":[122],"method":[125],"demonstrates":[126],"superior":[127],"performance":[128],"compared":[129],"existing":[131],"approaches,":[133],"achieving":[134],"improvements":[136],"both":[138],"denoising":[143],"effectiveness.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
