{"id":"https://openalex.org/W3010249776","doi":"https://doi.org/10.1109/icsai48974.2019.9010517","title":"Foreign Object Detection between PSDs and Metro Doors Using Deep Neural Networks","display_name":"Foreign Object Detection between PSDs and Metro Doors Using Deep Neural Networks","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3010249776","doi":"https://doi.org/10.1109/icsai48974.2019.9010517","mag":"3010249776"},"language":"en","primary_location":{"id":"doi:10.1109/icsai48974.2019.9010517","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai48974.2019.9010517","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 6th International Conference on Systems and Informatics (ICSAI)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5043154142","display_name":"Weiming Liu","orcid":"https://orcid.org/0000-0003-1819-9153"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiming Liu","raw_affiliation_strings":["School of Civil Engineering and Transportation, South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Civil Engineering and Transportation, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013271959","display_name":"Yuan Dai","orcid":"https://orcid.org/0000-0002-0408-5529"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Dai","raw_affiliation_strings":["School of Civil Engineering and Transportation, South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Civil Engineering and Transportation, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101574415","display_name":"Haiyu Li","orcid":"https://orcid.org/0000-0002-2097-1061"},"institutions":[{"id":"https://openalex.org/I4210145820","display_name":"Guangzhou Metro Group (China)","ror":"https://ror.org/04gfyef21","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210145820"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiyu Li","raw_affiliation_strings":["Guangzhou Metro Corportation, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangzhou Metro Corportation, Guangzhou, China","institution_ids":["https://openalex.org/I4210145820"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100748127","display_name":"Lan Liu","orcid":"https://orcid.org/0000-0002-4429-7753"},"institutions":[{"id":"https://openalex.org/I4210145820","display_name":"Guangzhou Metro Group (China)","ror":"https://ror.org/04gfyef21","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210145820"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lan Liu","raw_affiliation_strings":["Guangzhou Metro Corportation, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangzhou Metro Corportation, Guangzhou, China","institution_ids":["https://openalex.org/I4210145820"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047053915","display_name":"Lin Zhong","orcid":"https://orcid.org/0000-0002-5661-6897"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Zhong","raw_affiliation_strings":["School of Civil Engineering and Transportation, South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Civil Engineering and Transportation, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.35941115,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"762","last_page":"767"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9997000098228455,"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9997000098228455,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9994000196456909,"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/T12707","display_name":"Vehicle License Plate Recognition","score":0.9814000129699707,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/doors","display_name":"Doors","score":0.9529411792755127},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.7694451808929443},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7246819138526917},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6097851395606995},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5800368189811707},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.5632027387619019},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5515390634536743},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5284562110900879},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.4131605625152588},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3865533471107483},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3391995429992676},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.22453796863555908},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16346994042396545},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.15754348039627075},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.10020160675048828},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.059430211782455444}],"concepts":[{"id":"https://openalex.org/C125209513","wikidata":"https://www.wikidata.org/wiki/Q4037520","display_name":"Doors","level":2,"score":0.9529411792755127},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.7694451808929443},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7246819138526917},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6097851395606995},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5800368189811707},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.5632027387619019},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5515390634536743},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5284562110900879},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.4131605625152588},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3865533471107483},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3391995429992676},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.22453796863555908},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16346994042396545},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.15754348039627075},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.10020160675048828},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.059430211782455444}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsai48974.2019.9010517","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai48974.2019.9010517","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 6th International Conference on Systems and Informatics (ICSAI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1686810756","https://openalex.org/W2102605133","https://openalex.org/W2194775991","https://openalex.org/W2348884780","https://openalex.org/W2570343428","https://openalex.org/W2613718673","https://openalex.org/W2796347433","https://openalex.org/W2963037989","https://openalex.org/W2963150697","https://openalex.org/W3106250896","https://openalex.org/W4293584584","https://openalex.org/W6620707391","https://openalex.org/W6637373629","https://openalex.org/W6750227808","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W3016239942","https://openalex.org/W2486091485","https://openalex.org/W4293365988","https://openalex.org/W2374188760","https://openalex.org/W2997934945","https://openalex.org/W2468876127","https://openalex.org/W4205206412","https://openalex.org/W2885750329","https://openalex.org/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"At":[0],"present,":[1],"many":[2],"cities":[3,46],"have":[4],"established":[5],"sophisticated":[6],"metro":[7,11,55,100,175,227],"transportation":[8],"systems,":[9],"and":[10,35,57,99,119,133,174,200,214,226],"passenger":[12,24],"traffic":[13,202],"accounts":[14],"for":[15],"about":[16],"50":[17],"to":[18,67,83,88,139],"80":[19],"percent":[20],"of":[21,30,32,44,51,73,92,130,167,189,197],"the":[22,80,90,97,108,128,141,165,172,179,186,195,224],"total":[23],"traffic.":[25],"Unfortunately,":[26],"there":[27],"are":[28],"hundreds":[29],"incidents":[31],"train":[33],"delays":[34],"even":[36],"casualties":[37],"caused":[38],"by":[39,135],"foreign":[40,52,93,142,168,190,220],"objects":[41,53],"in":[42,146,164,219],"metros":[43],"various":[45],"every":[47],"year.":[48],"The":[49,70,152],"detection":[50,95,110,162,170,222],"between":[54,96,171,223],"doors":[56],"Platform":[58],"Screen":[59],"Doors":[60],"(PSDs)":[61],"has":[62],"become":[63],"an":[64],"urgent":[65],"problem":[66,91],"be":[68],"solved.":[69],"main":[71],"contribution":[72],"this":[74,78,103],"paper":[75,207],"is":[76,79],"that":[77,156],"first":[81,106],"attempt":[82],"use":[84],"deep":[85,157,180],"neural":[86,158,181],"networks":[87,159],"solve":[89],"object":[94,109,143,169,221],"PSDs":[98,173,225],"doors.":[101,176,228],"In":[102,177],"paper,":[104],"we":[105],"introduce":[107],"framework":[111],"called":[112],"You":[113],"Only":[114],"Look":[115],"Once":[116],"(YOLO":[117],"series)":[118],"Single":[120],"Shot":[121],"MultiBox":[122],"Detector":[123],"(SSD).":[124],"We":[125,204],"further":[126],"explore":[127],"performance":[129],"YOLO":[131],"v3":[132],"SSD":[134],"implementing":[136],"their":[137],"models":[138],"do":[140],"detecting":[144],"task":[145,166],"our":[147,206],"dataset":[148],"(from":[149],"real-world":[150],"data).":[151],"experimental":[153],"results":[154],"demonstrate":[155],"achieve":[160],"good":[161],"accuracy":[163],"addition,":[178],"network":[182],"can":[183],"also":[184],"give":[185],"category":[187],"information":[188],"objects,":[191],"which":[192],"greatly":[193],"reducing":[194],"time":[196],"artificial":[198],"judgment":[199],"relieving":[201],"pressure.":[203],"hope":[205],"will":[208],"serve":[209],"as":[210],"a":[211],"solid":[212],"baseline":[213],"help":[215],"ease":[216],"future":[217],"research":[218]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}