{"id":"https://openalex.org/W2991246835","doi":"https://doi.org/10.1109/avss.2019.8909880","title":"Front-View Vehicle Make and Model Recognition on Night-Time NIR Camera Images","display_name":"Front-View Vehicle Make and Model Recognition on Night-Time NIR Camera Images","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2991246835","doi":"https://doi.org/10.1109/avss.2019.8909880","mag":"2991246835"},"language":"en","primary_location":{"id":"doi:10.1109/avss.2019.8909880","doi":"https://doi.org/10.1109/avss.2019.8909880","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2019.8909880","pdf_url":null,"source":{"id":"https://openalex.org/S7407086167","display_name":"IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5037225948","display_name":"Burak Balc\u0131","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Burak Balci","raw_affiliation_strings":["Havelsan Inc., Ankara, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Havelsan Inc., Ankara, Turkey","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069890292","display_name":"Alperen Eliho\u015f","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alperen Elihos","raw_affiliation_strings":["Havelsan Inc., Ankara, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Havelsan Inc., Ankara, Turkey","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Mehmet Turan","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mehmet Turan","raw_affiliation_strings":["Havelsan Inc., Ankara, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Havelsan Inc., Ankara, Turkey","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088031299","display_name":"Bensu Alkan","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bensu Alkan","raw_affiliation_strings":["Havelsan Inc., Ankara, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Havelsan Inc., Ankara, Turkey","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038884712","display_name":"Yusuf Oguzhan Artan","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yusuf Artan","raw_affiliation_strings":["Havelsan Inc., Ankara, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Havelsan Inc., Ankara, Turkey","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2425,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.59154172,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.7886000275611877,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.7886000275611877,"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":0.1881999969482422,"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":0.0066999997943639755,"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/vehicle-make-and-model-recognition","display_name":"vehicle make and model recognition","score":0.9789999723434448},{"id":"https://openalex.org/keywords/near-infrared-images","display_name":"near-infrared imagery","score":0.7950000166893005},{"id":"https://openalex.org/keywords/nighttime-imaging","display_name":"nighttime imaging","score":0.6769999861717224},{"id":"https://openalex.org/keywords/low-light-conditions","display_name":"low-light conditions","score":0.8379999995231628},{"id":"https://openalex.org/keywords/vehicle-localization","display_name":"vehicle localization","score":0.8960000276565552},{"id":"https://openalex.org/keywords/single-shot-multibox-detector","display_name":"Single Shot MultiBox Detector","score":0.8999999761581421},{"id":"https://openalex.org/keywords/low-light-image-enhancement","display_name":"low-light image enhancement","score":0.9649999737739563},{"id":"https://openalex.org/keywords/light-effects","display_name":"light effects","score":0.3919999897480011},{"id":"https://openalex.org/keywords/road-traffic-monitoring","display_name":"road traffic monitoring","score":0.3630000054836273}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7033389806747437},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6611911058425903},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6485126614570618},{"id":"https://openalex.org/C2777551076","wikidata":"https://www.wikidata.org/wiki/Q842332","display_name":"Front (military)","level":2,"score":0.4990346431732178},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3758026659488678},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.169926255941391},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/avss.2019.8909880","doi":"https://doi.org/10.1109/avss.2019.8909880","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2019.8909880","pdf_url":null,"source":{"id":"https://openalex.org/S7407086167","display_name":"IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2108598243","https://openalex.org/W2138011018","https://openalex.org/W2179713099","https://openalex.org/W2183341477","https://openalex.org/W2474271337","https://openalex.org/W2481114392","https://openalex.org/W2549125172","https://openalex.org/W2557728737","https://openalex.org/W2566376500","https://openalex.org/W2586385818","https://openalex.org/W2736720785","https://openalex.org/W2766802800","https://openalex.org/W2783399029","https://openalex.org/W2807062951","https://openalex.org/W3106250896"],"related_works":["https://openalex.org/W3152527867","https://openalex.org/W2969587568","https://openalex.org/W2986435640","https://openalex.org/W4285419088","https://openalex.org/W4381616667","https://openalex.org/W2903857507","https://openalex.org/W2405089906","https://openalex.org/W4320504228","https://openalex.org/W2989111758","https://openalex.org/W4385063358"],"abstract_inverted_index":{"In":[0,43,119],"this":[1,33],"study,":[2],"we":[3,59],"propose":[4],"a":[5,61,117],"deep":[6],"learning":[7],"based":[8],"vehicle":[9,47,66,72,128],"make":[10,102,162],"and":[11,81,94,103,157],"model":[12,67,104,106,149,155],"recognition":[13,130,156,163],"method":[14,131],"for":[15,38],"weakly":[16],"illuminated":[17],"near-infrared":[18],"camera":[19],"images":[20,28,39,114],"(NIR).":[21],"Unlike":[22],"earlier":[23],"approaches":[24],"that":[25],"consider":[26],"color":[27],"obtained":[29],"in":[30,91,154,161],"well-lit":[31],"environments,":[32],"study":[34],"proposes":[35],"an":[36],"approach":[37],"captured":[40],"at":[41],"night-time.":[42],"the":[44,70,92,98,123,126],"proposed":[45,99,127],"approach,":[46],"localization":[48],"is":[49],"carried":[50],"out":[51],"using":[52,109],"single":[53],"shot":[54],"multi-box":[55],"detector":[56],"(SSD)model.":[57],"Next,":[58],"utilize":[60],"convolutional":[62],"neural":[63],"network":[64],"(CNN)based":[65],"classifier":[68],"on":[69,116,132],"detected":[71],"region.":[73],"Data":[74],"sets":[75],"of":[76,97,125],"different":[77],"shade,":[78],"light,":[79],"reflection":[80],"other":[82],"lighting":[83],"effects":[84],"have":[85],"been":[86],"created":[87],"to":[88,121,144],"be":[89],"used":[90],"training":[93],"testing":[95],"stages":[96],"methods.":[100],"Vehicle":[101],"classification":[105],"was":[107],"tested":[108],"3327":[110],"real-world":[111],"night-time":[112],"NIR":[113],"collected":[115],"roadway.":[118],"order":[120],"observe":[122],"performance":[124],"make-model":[129],"enhanced":[133],"images,":[134],"three":[135],"popular":[136],"low-light":[137],"image":[138],"enhancement":[139],"methods":[140],"are":[141],"also":[142],"applied":[143],"our":[145],"test":[146],"dataset.":[147],"Proposed":[148],"achieved":[150],"86%":[151],"accuracy":[152,159],"rate":[153,160],"95%":[158],"tasks.":[164]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2019-12-05T00:00:00"}
