{"id":"https://openalex.org/W4400908488","doi":"https://doi.org/10.1109/siu61531.2024.10600735","title":"Vehicle Direction Classification System","display_name":"Vehicle Direction Classification System","publication_year":2024,"publication_date":"2024-05-15","ids":{"openalex":"https://openalex.org/W4400908488","doi":"https://doi.org/10.1109/siu61531.2024.10600735"},"language":"en","primary_location":{"id":"doi:10.1109/siu61531.2024.10600735","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/siu61531.2024.10600735","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 32nd 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/A5111265721","display_name":"Serkan Uysal","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Serkan Uysal","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034991795","display_name":"\u0130rem \u0130\u015flek","orcid":"https://orcid.org/0000-0003-0897-5809"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"\u0130rem \u0130\u015flek","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5072188543","display_name":"\u00c7a\u011fla \u00c7\u0131\u011f Karaman","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"\u00c7a\u011fla \u00c7\u0131\u011f Karaman","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5111265721"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18108327,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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":0.9305999875068665,"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":0.9305999875068665,"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/computer-science","display_name":"Computer science","score":0.6127575635910034},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3789309859275818}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6127575635910034},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3789309859275818}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/siu61531.2024.10600735","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/siu61531.2024.10600735","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 32nd Signal Processing and Communications Applications Conference (SIU)","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":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"A":[0],"vehicle":[1,45,76,107],"advertisement":[2],"on":[3,71,153,170],"a":[4,8,50,90],"classifieds":[5],"platform":[6],"contains":[7],"large":[9],"number":[10],"of":[11,13,30,35,44,74,105,149,160],"photographs":[12],"various":[14],"types,":[15],"such":[16],"as":[17],"exterior":[18,46],"photographs,":[19,21],"interior":[20,48],"parts":[22],"or":[23,103,146],"document":[24],"photographs.":[25],"However,":[26],"to":[27,39,59,87,138],"the":[28,33,60,63,65,72,75,96,106,111,120,125,131,133,141,144,147,150,154,158,161,171,174],"best":[29],"our":[31],"knowledge,":[32],"grouping":[34],"these":[36],"photos":[37],"according":[38],"certain":[40],"aspects":[41],"in":[42,62,110],"terms":[43],"and":[47,98,113,173],"is":[49,136],"problem":[51],"that":[52,157],"has":[53,167],"not":[54],"yet":[55],"been":[56,168],"solved.":[57],"According":[58],"studies":[61],"literature,":[64],"existing":[66],"researches":[67],"are":[68,177],"generally":[69],"focussed":[70],"detection":[73],"through":[77],"specific":[78],"images.":[79],"In":[80],"this":[81],"study,":[82],"multiple":[83],"models":[84],"were":[85],"used":[86,137],"determine":[88,139],"whether":[89,101,140],"photograph":[91,121,126,142],"was":[92,108,122,127,163],"taken":[93,128],"from":[94,116,129],"outside":[95],"vehicle,":[97,132],"if":[99,114,124],"so,":[100,115],"half":[102],"all":[104],"visible":[109],"photograph,":[112],"which":[117],"horizontal":[118],"plane":[119],"taken;":[123],"inside":[130],"model":[134],"hierarchy":[135],"shows":[143],"front":[145],"rear":[148],"vehicle.":[151],"Experiments":[152],"system":[155,162,166],"showed":[156],"performance":[159],"satisfactory.":[164],"The":[165],"tested":[169],"dataset":[172],"results":[175],"obtained":[176],"shared.":[178]},"counts_by_year":[],"updated_date":"2026-03-04T07:04:00.330322","created_date":"2025-10-10T00:00:00"}
