{"id":"https://openalex.org/W2947496906","doi":"https://doi.org/10.5220/0007724601930198","title":"Front-View Vehicle Damage Detection using Roadway Surveillance Camera Images","display_name":"Front-View Vehicle Damage Detection using Roadway Surveillance Camera Images","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2947496906","doi":"https://doi.org/10.5220/0007724601930198","mag":"2947496906"},"language":"en","primary_location":{"id":"doi:10.5220/0007724601930198","is_oa":false,"landing_page_url":"https://doi.org/10.5220/0007724601930198","pdf_url":null,"source":{"id":"https://openalex.org/S4363609002","display_name":"Proceedings of the 5th International Conference on Vehicle Technology and Intelligent Transport Systems","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"Proceedings of the 5th International Conference on Vehicle Technology and Intelligent Transport Systems","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/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":["Video Analysis Group, HAVELSAN Incorporation, Ankara, Turkey, --- Select a Country ---"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Video Analysis Group, HAVELSAN Incorporation, Ankara, Turkey, --- Select a Country ---","institution_ids":["https://openalex.org/I56303344"]}]},{"author_position":"middle","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":["Video Analysis Group, HAVELSAN Incorporation, Ankara, Turkey, --- Select a Country ---"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Video Analysis Group, HAVELSAN Incorporation, Ankara, Turkey, --- Select a Country ---","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":["Video Analysis Group, HAVELSAN Incorporation, Ankara, Turkey, --- Select a Country ---"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Video Analysis Group, HAVELSAN Incorporation, Ankara, Turkey, --- Select a Country ---","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 Elihos","raw_affiliation_strings":["Video Analysis Group, HAVELSAN Incorporation, Ankara, Turkey, --- Select a Country ---"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Video Analysis Group, HAVELSAN Incorporation, Ankara, Turkey, --- Select a Country ---","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":0.6119,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.74808362,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"193","last_page":"198"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9955000281333923,"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":0.9955000281333923,"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":0.9821000099182129,"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"}},{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":0.9817000031471252,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7431239485740662},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7116203904151917},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7049275636672974},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5500562787055969},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5476951599121094},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5404004454612732},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5279606580734253},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4592544734477997},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.4120176136493683},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.26707351207733154}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7431239485740662},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7116203904151917},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7049275636672974},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5500562787055969},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5476951599121094},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5404004454612732},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5279606580734253},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4592544734477997},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.4120176136493683},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.26707351207733154},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5220/0007724601930198","is_oa":false,"landing_page_url":"https://doi.org/10.5220/0007724601930198","pdf_url":null,"source":{"id":"https://openalex.org/S4363609002","display_name":"Proceedings of the 5th International Conference on Vehicle Technology and Intelligent Transport Systems","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"Proceedings of the 5th International Conference on Vehicle Technology and Intelligent Transport Systems","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/W4206357785","https://openalex.org/W4281381188","https://openalex.org/W3192840557","https://openalex.org/W2951211570","https://openalex.org/W4375928479","https://openalex.org/W3167935049","https://openalex.org/W3023427754","https://openalex.org/W3131673289","https://openalex.org/W2949096641","https://openalex.org/W2970686063"],"abstract_inverted_index":{"Vehicle":[0],"body":[1,64],"damage":[2,65,87],"detection":[3,66,80],"from":[4,40],"still":[5],"images":[6,38],"has":[7],"received":[8],"considerable":[9],"interest":[10],"in":[11,16,107],"the":[12,25,31,47,51,61,96,115],"computer":[13],"vision":[14],"community":[15],"recent":[17],"years.":[18],"Existing":[19],"methods":[20,84],"are":[21],"typically":[22],"developed":[23],"towards":[24],"auto":[26],"insurance":[27],"industry":[28],"to":[29,46,50,85],"minimize":[30],"claim":[32],"leakage":[33],"problem.":[34],"Earlier":[35],"studies":[36],"utilized":[37],"taken":[39],"short":[41],"proximity":[42],"(<":[43],"3":[44],"meters)":[45],"vehicle":[48,62],"or":[49],"damaged":[52],"region":[53],"of":[54,89,99],"vehicle.":[55,91],"In":[56],"this":[57],"study,":[58],"we":[59],"investigate":[60],"frontal":[63,101],"using":[67],"roadway":[68],"surveillance":[69],"camera":[70],"images.":[71],"The":[72,92],"proposed":[73,93,116],"method":[74,94,117],"utilizes":[75],"deep":[76],"learning":[77,105],"based":[78],"object":[79],"and":[81,103],"image":[82],"classification":[83],"determine":[86],"status":[88],"a":[90,123],"combines":[95],"symmetry":[97],"property":[98],"vehicles\u2019":[100],"view":[102],"transfer":[104],"concept":[106],"its":[108],"inference":[109],"process.":[110],"Experimental":[111],"results":[112],"show":[113],"that":[114],"achieves":[118],"91":[119],"%":[120],"accuracy":[121],"on":[122],"test":[124],"dataset.":[125]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}