{"id":"https://openalex.org/W4408696741","doi":"https://doi.org/10.1109/itsc58415.2024.10919750","title":"Computer Vision-Based Method for Digital Twin Modelling in Railway","display_name":"Computer Vision-Based Method for Digital Twin Modelling in Railway","publication_year":2024,"publication_date":"2024-09-24","ids":{"openalex":"https://openalex.org/W4408696741","doi":"https://doi.org/10.1109/itsc58415.2024.10919750"},"language":"en","primary_location":{"id":"doi:10.1109/itsc58415.2024.10919750","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc58415.2024.10919750","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-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/A5101822264","display_name":"Shirui Zhang","orcid":"https://orcid.org/0000-0002-8720-1811"},"institutions":[{"id":"https://openalex.org/I142631665","display_name":"\u00c9cole nationale des ponts et chauss\u00e9es","ror":"https://ror.org/02nwvxz07","country_code":"FR","type":"education","lineage":["https://openalex.org/I142631665","https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I190752583","display_name":"ParisTech","ror":"https://ror.org/05c2qg481","country_code":"FR","type":"education","lineage":["https://openalex.org/I190752583"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Shirui Zhang","raw_affiliation_strings":["École des Ponts ParisTech (ENPC) and SNCF"],"affiliations":[{"raw_affiliation_string":"École des Ponts ParisTech (ENPC) and SNCF","institution_ids":["https://openalex.org/I142631665","https://openalex.org/I190752583"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116732420","display_name":"Briac Leromancer","orcid":null},"institutions":[{"id":"https://openalex.org/I210368670","display_name":"Soci\u00e9t\u00e9 Nationale des Chemins de Fer Fran\u00e7ais (France)","ror":"https://ror.org/0454vek02","country_code":"FR","type":"company","lineage":["https://openalex.org/I210368670"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Briac Leromancer","raw_affiliation_strings":["SNCF SA,Research and Technology Department,Saint Denis,FRANCE"],"affiliations":[{"raw_affiliation_string":"SNCF SA,Research and Technology Department,Saint Denis,FRANCE","institution_ids":["https://openalex.org/I210368670"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086958347","display_name":"Claire Nicod\u00e8me","orcid":null},"institutions":[{"id":"https://openalex.org/I210368670","display_name":"Soci\u00e9t\u00e9 Nationale des Chemins de Fer Fran\u00e7ais (France)","ror":"https://ror.org/0454vek02","country_code":"FR","type":"company","lineage":["https://openalex.org/I210368670"]},{"id":"https://openalex.org/I2746051580","display_name":"Universit\u00e9 Paris Sciences et Lettres","ror":"https://ror.org/013cjyk83","country_code":"FR","type":"education","lineage":["https://openalex.org/I2746051580"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Claire Nicodeme","raw_affiliation_strings":["Mines Paris-PSL University and SNCF"],"affiliations":[{"raw_affiliation_string":"Mines Paris-PSL University and SNCF","institution_ids":["https://openalex.org/I2746051580","https://openalex.org/I210368670"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101822264"],"corresponding_institution_ids":["https://openalex.org/I142631665","https://openalex.org/I190752583"],"apc_list":null,"apc_paid":null,"fwci":0.2734,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59269309,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"2737","last_page":"2742"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13527","display_name":"Transportation Systems and Logistics","score":0.9638000130653381,"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"}},"topics":[{"id":"https://openalex.org/T13527","display_name":"Transportation Systems and Logistics","score":0.9638000130653381,"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/T12984","display_name":"Transport and Logistics Innovations","score":0.9075999855995178,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/computer-science","display_name":"Computer science","score":0.6975974440574646},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4564899802207947},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.4561116695404053},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4015468657016754}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6975974440574646},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4564899802207947},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.4561116695404053},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4015468657016754}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc58415.2024.10919750","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc58415.2024.10919750","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1155136325","https://openalex.org/W2027254180","https://openalex.org/W2049768161","https://openalex.org/W2064147896","https://openalex.org/W2285089189","https://openalex.org/W2471962767","https://openalex.org/W2565449271","https://openalex.org/W2810562083","https://openalex.org/W2919115771","https://openalex.org/W2946746335","https://openalex.org/W2961443823","https://openalex.org/W2972744686","https://openalex.org/W2982604968","https://openalex.org/W3004543888","https://openalex.org/W3027647924","https://openalex.org/W3040266635","https://openalex.org/W3044015199","https://openalex.org/W3092074970","https://openalex.org/W3108975329","https://openalex.org/W3109585842","https://openalex.org/W3114177701","https://openalex.org/W3135550350","https://openalex.org/W3164800436","https://openalex.org/W3195402235","https://openalex.org/W3197217317","https://openalex.org/W3198299806","https://openalex.org/W3204859697","https://openalex.org/W4221151978","https://openalex.org/W4225539092","https://openalex.org/W4229007983","https://openalex.org/W4310832369","https://openalex.org/W4312234520","https://openalex.org/W4313154783","https://openalex.org/W4319163914","https://openalex.org/W4385302125","https://openalex.org/W4385318467","https://openalex.org/W4385490099","https://openalex.org/W4386071699","https://openalex.org/W4387886049","https://openalex.org/W4391019608","https://openalex.org/W4400403028","https://openalex.org/W6774631009","https://openalex.org/W6802338675","https://openalex.org/W6811615473","https://openalex.org/W6862680221","https://openalex.org/W7075594730"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Efficient":[0],"maintenance":[1],"requires":[2],"knowledge":[3],"and":[4,16,29,48,93,113,136],"expertise":[5,35],"about":[6],"the":[7,23,42,61,68,71],"equipment.":[8],"This":[9],"is":[10,20,64],"especially":[11],"true":[12],"for":[13,79,126],"public":[14],"transportation":[15],"railway,":[17],"where":[18],"security":[19],"one":[21],"of":[22,45,105],"most":[24],"important":[25],"pillars.":[26],"However,":[27],"trains":[28],"related":[30],"systems":[31],"are":[32,98,117,124],"complex,":[33],"making":[34],"difficult":[36],"to":[37,100,115],"acquire.":[38],"In":[39],"addition,":[40],"given":[41],"long":[43],"lifecycle":[44],"railway":[46,107],"equipment":[47],"infrastructures,":[49],"some":[50],"may":[51],"no":[52],"longer":[53],"be":[54],"documented.":[55],"Yet,":[56],"retrieving":[57],"essential":[58],"information":[59,82],"with":[60],"required":[62],"details":[63],"needed.":[65],"To":[66],"provide":[67],"necessary":[69],"data,":[70],"authors":[72],"present":[73],"a":[74],"novel":[75],"digital":[76],"twin-based":[77],"concept":[78],"advanced":[80],"real-world":[81],"gathering.":[83],"Different":[84],"modelling":[85],"techniques":[86],"such":[87],"as":[88],"LiDAR":[89],"Scanning,":[90],"RGB-D":[91],"Scanning":[92],"Deep":[94],"Learning-based":[95],"scene":[96],"reconstruction":[97],"investigated":[99],"create":[101],"texture-aware":[102],"3D":[103],"models":[104,123],"different":[106],"objects.":[108],"Representation":[109],"quality,":[110],"scale":[111],"adaptation":[112],"access":[114],"technologies":[116],"discussed.":[118],"From":[119],"this":[120],"perspective,":[121],"these":[122],"promising":[125],"object":[127],"recognition,":[128],"predictive":[129],"maintenance,":[130],"extended":[131],"reality":[132],"(XR)":[133],"tools":[134],"development":[135],"agents":[137],"training":[138],"in":[139],"Intelligent":[140],"Transportation":[141],"Systems":[142],"(ITS).":[143]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}