{"id":"https://openalex.org/W2969587568","doi":"https://doi.org/10.1109/siu.2019.8806465","title":"Deep Learning Based Vehicle Make, Model and Color Recognition Using License Plate Recognition Camera Images","display_name":"Deep Learning Based Vehicle Make, Model and Color Recognition Using License Plate Recognition Camera Images","publication_year":2019,"publication_date":"2019-04-01","ids":{"openalex":"https://openalex.org/W2969587568","doi":"https://doi.org/10.1109/siu.2019.8806465","mag":"2969587568"},"language":"en","primary_location":{"id":"doi:10.1109/siu.2019.8806465","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2019.8806465","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 27th Signal Processing and Communications Applications Conference (SIU)","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/A5038884712","display_name":"Yusuf Artan","orcid":null},"institutions":[{"id":"https://openalex.org/I56303344","display_name":"Aselsan (Turkey)","ror":"https://ror.org/04knh8e66","country_code":"TR","type":"company","lineage":["https://openalex.org/I56303344"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Yusuf Artan","raw_affiliation_strings":["HAVELSAN A.Ş, Ankara, Türkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HAVELSAN A.Ş, Ankara, Türkiye","institution_ids":["https://openalex.org/I56303344"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088031299","display_name":"Bensu Alkan","orcid":null},"institutions":[{"id":"https://openalex.org/I56303344","display_name":"Aselsan (Turkey)","ror":"https://ror.org/04knh8e66","country_code":"TR","type":"company","lineage":["https://openalex.org/I56303344"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Bensu Alkan","raw_affiliation_strings":["HAVELSAN A.Ş, Ankara, Türkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HAVELSAN A.Ş, Ankara, Türkiye","institution_ids":["https://openalex.org/I56303344"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037225948","display_name":"Burak Balc\u0131","orcid":null},"institutions":[{"id":"https://openalex.org/I56303344","display_name":"Aselsan (Turkey)","ror":"https://ror.org/04knh8e66","country_code":"TR","type":"company","lineage":["https://openalex.org/I56303344"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Burak Balci","raw_affiliation_strings":["HAVELSAN A.Ş, Ankara, Türkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HAVELSAN A.Ş, Ankara, Türkiye","institution_ids":["https://openalex.org/I56303344"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069890292","display_name":"Alperen Eliho\u015f","orcid":null},"institutions":[{"id":"https://openalex.org/I56303344","display_name":"Aselsan (Turkey)","ror":"https://ror.org/04knh8e66","country_code":"TR","type":"company","lineage":["https://openalex.org/I56303344"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Alperen Eliho\u015f","raw_affiliation_strings":["HAVELSAN A.Ş, Ankara, Türkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HAVELSAN A.Ş, Ankara, Türkiye","institution_ids":["https://openalex.org/I56303344"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I56303344"],"apc_list":null,"apc_paid":null,"fwci":0.7249,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.75683045,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":1.0,"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"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9995999932289124,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8237046003341675},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.778220534324646},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7409400343894958},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6182882785797119},{"id":"https://openalex.org/keywords/license","display_name":"License","score":0.5825207233428955},{"id":"https://openalex.org/keywords/color-model","display_name":"Color model","score":0.561659574508667},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.490835964679718},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4255021810531616},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24014928936958313},{"id":"https://openalex.org/keywords/color-space","display_name":"Color space","score":0.2204802930355072}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8237046003341675},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.778220534324646},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7409400343894958},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6182882785797119},{"id":"https://openalex.org/C2780560020","wikidata":"https://www.wikidata.org/wiki/Q79719","display_name":"License","level":2,"score":0.5825207233428955},{"id":"https://openalex.org/C36262787","wikidata":"https://www.wikidata.org/wiki/Q2294018","display_name":"Color model","level":4,"score":0.561659574508667},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.490835964679718},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4255021810531616},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24014928936958313},{"id":"https://openalex.org/C2961294","wikidata":"https://www.wikidata.org/wiki/Q166863","display_name":"Color space","level":3,"score":0.2204802930355072},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/siu.2019.8806465","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2019.8806465","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 27th Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5099999904632568,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1869000332","https://openalex.org/W2162349892","https://openalex.org/W2828354385","https://openalex.org/W2914756761","https://openalex.org/W3106250896"],"related_works":["https://openalex.org/W2187695786","https://openalex.org/W2072998265","https://openalex.org/W2362726478","https://openalex.org/W2766874807","https://openalex.org/W4316813138","https://openalex.org/W4299802890","https://openalex.org/W4289093185","https://openalex.org/W1971021582","https://openalex.org/W4382246118","https://openalex.org/W2057933061"],"abstract_inverted_index":{"In":[0,24],"this":[1],"study,":[2],"we":[3,41],"propose":[4],"a":[5,43,134],"deep":[6,44],"learning":[7,45],"based":[8,46],"vehicle":[9,28,55,112],"make,":[10,47,113],"model":[11,48,52,87,89,102,114,132,141],"and":[12,49,64,77,86,95,115,143],"color":[13,50,100,116,149],"recognition":[14,19,101,142,150],"method":[15],"using":[16,33,92,105],"license":[17],"plate":[18],"cameras":[20,127],"installed":[21],"in":[22,74,138,148],"highways.":[23],"the":[25,54,75,81,99,122,125],"proposed":[26,82],"approach,":[27],"localization":[29],"is":[30],"carried":[31],"out":[32],"single":[34],"shot":[35],"multi-box":[36],"detector":[37],"(SSD)":[38],"model.":[39],"Next,":[40],"utilize":[42],"classification":[51,88,117],"on":[53,128],"region.":[56],"Data":[57],"sets":[58],"of":[59,80,111,124],"different":[60],"shade,":[61],"light,":[62],"reflection":[63],"other":[65],"lighting":[66],"effects":[67],"have":[68],"been":[69],"created":[70],"to":[71],"be":[72],"used":[73],"training":[76],"testing":[78],"stages":[79],"methods.":[83],"Vehicles":[84],"make":[85,139],"was":[90,103],"tested":[91,104],"6238":[93],"NIR":[94],"RGB":[96,107],"images,":[97],"while":[98],"3588":[106],"images.":[108],"Test":[109],"results":[110],"methods":[118],"were":[119],"compared":[120],"with":[121],"performances":[123],"existing":[126],"roadways":[129],"today.":[130],"Proposed":[131],"achieved":[133],"94%":[135],"accuracy":[136,146],"rate":[137,147],"&":[140],"92":[144],"%":[145],"tasks.":[151]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}