{"id":"https://openalex.org/W4411726373","doi":"https://doi.org/10.1109/meco66322.2025.11049220","title":"A Vehicle Detection Model from Still Images using Modified RT-DETR with Channel and Spatial Attention Modules","display_name":"A Vehicle Detection Model from Still Images using Modified RT-DETR with Channel and Spatial Attention Modules","publication_year":2025,"publication_date":"2025-06-10","ids":{"openalex":"https://openalex.org/W4411726373","doi":"https://doi.org/10.1109/meco66322.2025.11049220"},"language":"en","primary_location":{"id":"doi:10.1109/meco66322.2025.11049220","is_oa":false,"landing_page_url":"https://doi.org/10.1109/meco66322.2025.11049220","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 14th Mediterranean Conference on Embedded Computing (MECO)","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/A5000595674","display_name":"Sourajit Maity","orcid":"https://orcid.org/0000-0001-5880-0930"},"institutions":[{"id":"https://openalex.org/I170979836","display_name":"Jadavpur University","ror":"https://ror.org/02af4h012","country_code":"IN","type":"education","lineage":["https://openalex.org/I170979836"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Sourajit Maity","raw_affiliation_strings":["Jadavpur University,Department of CSE"],"affiliations":[{"raw_affiliation_string":"Jadavpur University,Department of CSE","institution_ids":["https://openalex.org/I170979836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042939549","display_name":"Vyacheslav Gulvanskii","orcid":"https://orcid.org/0000-0002-0937-7731"},"institutions":[{"id":"https://openalex.org/I41518628","display_name":"Saint Petersburg State Electrotechnical University","ror":"https://ror.org/023bq8521","country_code":"RU","type":"education","lineage":["https://openalex.org/I41518628"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Vyacheslav Gulvanskii","raw_affiliation_strings":["St. Petersburg Electrotechnical University \"LETI\",Dept. of Automation and Control Process,St. Petersburg,Russian Federation"],"affiliations":[{"raw_affiliation_string":"St. Petersburg Electrotechnical University \"LETI\",Dept. of Automation and Control Process,St. Petersburg,Russian Federation","institution_ids":["https://openalex.org/I41518628"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054967047","display_name":"Dmitrii Kaplun","orcid":"https://orcid.org/0000-0003-2765-4509"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dmitrii Kaplun","raw_affiliation_strings":["China University of Mining and Technology,Artificial Intelligence Research Institute,Xuzhou,China"],"affiliations":[{"raw_affiliation_string":"China University of Mining and Technology,Artificial Intelligence Research Institute,Xuzhou,China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082599641","display_name":"Ram Sarkar","orcid":"https://orcid.org/0000-0001-8813-4086"},"institutions":[{"id":"https://openalex.org/I170979836","display_name":"Jadavpur University","ror":"https://ror.org/02af4h012","country_code":"IN","type":"education","lineage":["https://openalex.org/I170979836"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ram Sarkar","raw_affiliation_strings":["Jadavpur University,Department of CSE"],"affiliations":[{"raw_affiliation_string":"Jadavpur University,Department of CSE","institution_ids":["https://openalex.org/I170979836"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5000595674"],"corresponding_institution_ids":["https://openalex.org/I170979836"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16703374,"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":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.8648999929428101,"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":0.8648999929428101,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.8450999855995178,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.7682999968528748,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/computer-science","display_name":"Computer science","score":0.6060451865196228},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5592601895332336},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4679844379425049},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38609346747398376},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38578587770462036},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1460094451904297},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.12753340601921082}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6060451865196228},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5592601895332336},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4679844379425049},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38609346747398376},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38578587770462036},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1460094451904297},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.12753340601921082}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/meco66322.2025.11049220","is_oa":false,"landing_page_url":"https://doi.org/10.1109/meco66322.2025.11049220","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 14th Mediterranean Conference on Embedded Computing (MECO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320311382","display_name":"Jadavpur University","ror":"https://ror.org/02af4h012"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1572134200","https://openalex.org/W2055667362","https://openalex.org/W2066916495","https://openalex.org/W2150066425","https://openalex.org/W2901309398","https://openalex.org/W2962750014","https://openalex.org/W2984306354","https://openalex.org/W3006988488","https://openalex.org/W3034884618","https://openalex.org/W3035564946","https://openalex.org/W3097939555","https://openalex.org/W3204623355","https://openalex.org/W4206575109","https://openalex.org/W4221057108","https://openalex.org/W4282975999","https://openalex.org/W4289752563","https://openalex.org/W4322774947","https://openalex.org/W4381053586","https://openalex.org/W4389049926","https://openalex.org/W4393087105","https://openalex.org/W4394995282"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"For":[0,102],"developing":[1],"an":[2],"automated":[3],"traffic":[4,26],"management":[5],"system,":[6],"it":[7],"would":[8],"be":[9],"highly":[10],"advantageous":[11],"to":[12,34],"design":[13],"automatic":[14],"vehicle":[15,38,47,115],"detection":[16,39,81,116],"(AVD)":[17],"systems":[18],"that":[19,41],"use":[20],"either":[21],"images":[22],"or":[23],"videos":[24],"from":[25],"data.":[27],"The":[28],"goal":[29],"of":[30,46,51],"this":[31,91],"paper":[32],"is":[33,76],"develop":[35],"a":[36,49,69,77,125,135],"reliable":[37],"model":[40,67,82,110],"can":[42],"detect":[43],"different":[44],"kinds":[45],"in":[48],"variety":[50],"lighting":[52],"and":[53,61,97,120,143],"weather":[54],"conditions,":[55],"such":[56],"as":[57],"sunny,":[58],"rainy,":[59],"daytime":[60],"nighttime.":[62],"We":[63,88,122,132],"have":[64,89,107,123,133],"designed":[65],"our":[66,109],"using":[68],"modified":[70,90],"RT-DETR":[71],"(Real-Time":[72],"Detection":[73],"Transformer),":[74],"which":[75],"basically":[78],"Transformer-based":[79],"object":[80],"pre-trained":[83],"on":[84,111,128,139,147],"the":[85,94,103,140,148],"COCO":[86],"dataset.":[87,150],"by":[92],"adding":[93],"Channel":[95],"Attention":[96,99],"Spatial":[98],"modules":[100],"sequentially.":[101],"experimental":[104],"evaluation,":[105],"we":[106],"tested":[108],"two":[112,130],"recently":[113],"introduced":[114],"datasets,":[117],"namely":[118],"JUVDsiv1":[119,141],"IRUVD.":[121],"achieved":[124],"satisfactory":[126],"result":[127],"these":[129],"datasets.":[131],"obtained":[134],"77%":[136],"mAP":[137,145],"score":[138,146],"dataset,":[142],"96.3%":[144],"IRUVD":[149]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
