{"id":"https://openalex.org/W4414432460","doi":"https://doi.org/10.1109/case58245.2025.11163927","title":"Modified YOLOv8 for Real-Time Multi-Class Uncooperative Aerial Vehicle Detection and Classification","display_name":"Modified YOLOv8 for Real-Time Multi-Class Uncooperative Aerial Vehicle Detection and Classification","publication_year":2025,"publication_date":"2025-08-17","ids":{"openalex":"https://openalex.org/W4414432460","doi":"https://doi.org/10.1109/case58245.2025.11163927"},"language":"en","primary_location":{"id":"doi:10.1109/case58245.2025.11163927","is_oa":false,"landing_page_url":"https://doi.org/10.1109/case58245.2025.11163927","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 21st International Conference on Automation Science and Engineering (CASE)","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/A5008402578","display_name":"Pavan Varma","orcid":null},"institutions":[{"id":"https://openalex.org/I94234084","display_name":"Indian Institute of Technology Kanpur","ror":"https://ror.org/05pjsgx75","country_code":"IN","type":"education","lineage":["https://openalex.org/I94234084"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Pavan Varma","raw_affiliation_strings":["Indian Institute of Technology Kanpur,Department of Aerospace Engineering,Kanpur,India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Kanpur,Department of Aerospace Engineering,Kanpur,India","institution_ids":["https://openalex.org/I94234084"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Kripesh Singh","orcid":null},"institutions":[{"id":"https://openalex.org/I94234084","display_name":"Indian Institute of Technology Kanpur","ror":"https://ror.org/05pjsgx75","country_code":"IN","type":"education","lineage":["https://openalex.org/I94234084"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kripesh Singh","raw_affiliation_strings":["Indian Institute of Technology Kanpur,Department of Aerospace Engineering,Kanpur,India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Kanpur,Department of Aerospace Engineering,Kanpur,India","institution_ids":["https://openalex.org/I94234084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113393096","display_name":"Arya Das","orcid":null},"institutions":[{"id":"https://openalex.org/I94234084","display_name":"Indian Institute of Technology Kanpur","ror":"https://ror.org/05pjsgx75","country_code":"IN","type":"education","lineage":["https://openalex.org/I94234084"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Arya Das","raw_affiliation_strings":["Indian Institute of Technology Kanpur,Department of Aerospace Engineering,Kanpur,India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Kanpur,Department of Aerospace Engineering,Kanpur,India","institution_ids":["https://openalex.org/I94234084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042305007","display_name":"Dipak Kumar Giri","orcid":"https://orcid.org/0000-0003-3497-1369"},"institutions":[{"id":"https://openalex.org/I94234084","display_name":"Indian Institute of Technology Kanpur","ror":"https://ror.org/05pjsgx75","country_code":"IN","type":"education","lineage":["https://openalex.org/I94234084"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Dipak Kumar Giri","raw_affiliation_strings":["Indian Institute of Technology Kanpur,Department of Aerospace Engineering,Kanpur,India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Kanpur,Department of Aerospace Engineering,Kanpur,India","institution_ids":["https://openalex.org/I94234084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008885274","display_name":"P. N. Dwivedi","orcid":"https://orcid.org/0000-0002-2541-1186"},"institutions":[{"id":"https://openalex.org/I1340206300","display_name":"Defence Research and Development Organisation","ror":"https://ror.org/05k37v296","country_code":"IN","type":"government","lineage":["https://openalex.org/I1340206300","https://openalex.org/I4210150591"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"P. N. Dwivedi","raw_affiliation_strings":["Defence Research and Development Organisation (DRDO)"],"affiliations":[{"raw_affiliation_string":"Defence Research and Development Organisation (DRDO)","institution_ids":["https://openalex.org/I1340206300"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5008402578"],"corresponding_institution_ids":["https://openalex.org/I94234084"],"apc_list":null,"apc_paid":null,"fwci":4.8743,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.95305432,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"3010","last_page":"3015"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9322999715805054,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9322999715805054,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9211999773979187,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/block","display_name":"Block (permutation group theory)","score":0.5426999926567078},{"id":"https://openalex.org/keywords/drone","display_name":"Drone","score":0.4320000112056732},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.3813000023365021},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.3743000030517578},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.3483999967575073},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.3253999948501587},{"id":"https://openalex.org/keywords/aerial-imagery","display_name":"Aerial imagery","score":0.3070000112056732}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7141000032424927},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5918999910354614},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5426999926567078},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4399000108242035},{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.4320000112056732},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.3813000023365021},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.3743000030517578},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.3483999967575073},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.3253999948501587},{"id":"https://openalex.org/C2987819851","wikidata":"https://www.wikidata.org/wiki/Q191839","display_name":"Aerial imagery","level":2,"score":0.3070000112056732},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29739999771118164},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.29490000009536743},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2946000099182129},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2881999909877777},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.2867000102996826},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.27399998903274536},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27129998803138733},{"id":"https://openalex.org/C140547941","wikidata":"https://www.wikidata.org/wiki/Q7797194","display_name":"Threat model","level":2,"score":0.2678000032901764},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.25589999556541443}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/case58245.2025.11163927","is_oa":false,"landing_page_url":"https://doi.org/10.1109/case58245.2025.11163927","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 21st International Conference on Automation Science and Engineering (CASE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2102605133","https://openalex.org/W2752782242","https://openalex.org/W2758604054","https://openalex.org/W2795330322","https://openalex.org/W2963037989","https://openalex.org/W2988916019","https://openalex.org/W3034552520","https://openalex.org/W3153216549","https://openalex.org/W3162418282","https://openalex.org/W3177052299","https://openalex.org/W3188564128","https://openalex.org/W3199621185","https://openalex.org/W4226474208","https://openalex.org/W4289752563","https://openalex.org/W4319796192","https://openalex.org/W4382812830","https://openalex.org/W4386303392","https://openalex.org/W4402661196"],"related_works":[],"abstract_inverted_index":{"With":[0],"the":[1,56,148,166,185],"rapid":[2],"increase":[3],"in":[4,109,156,162,188],"UAVs":[5],"(fixed-wing":[6],"or":[7],"rotor-based)":[8],"for":[9,43,72,81],"commercial":[10],"and":[11,35,46,87,141,158,182,192],"recreational":[12],"applications,":[13],"serious":[14],"concerns":[15],"arise":[16],"regarding":[17],"their":[18,21],"misuse.":[19],"Moreover,":[20],"small":[22],"size":[23],"complicates":[24],"detection,":[25],"distinguishing":[26],"them":[27],"from":[28,48],"other":[29],"aerial":[30,190],"vehicles":[31],"like":[32],"airplanes,":[33,85],"helicopters,":[34,86],"birds.":[36],"This":[37],"paper":[38,103],"introduces":[39],"an":[40,115],"efficient":[41],"model":[42,58,151],"UAV":[44,174],"detection":[45,175],"classification":[47],"a":[49,61,76,153,159],"distance":[50],"using":[51],"visual":[52],"sensors.":[53],"We":[54],"enhance":[55],"YOLOv8":[57,150,167],"by":[59],"integrating":[60],"novel":[62],"attention":[63,125],"module":[64],"called":[65],"Multi":[66],"Group":[67],"Dual":[68],"Attention":[69,129,139],"Module":[70,130],"(MGDAM)":[71],"small-object":[73],"detection.":[74],"Additionally,":[75],"synthetic":[77],"dataset":[78],"is":[79],"generated":[80],"multiple":[82],"classes":[83],"(drones,":[84],"birds)":[88],"that":[89,147],"closely":[90],"resemble":[91],"real-world":[92,170],"camera-captured":[93],"images.":[94],"Unlike":[95],"many":[96],"studies":[97],"focusing":[98],"only":[99],"on":[100],"mAP@50,":[101],"this":[102],"emphasizes":[104],"mAP50\u201395":[105],"to":[106],"evaluate":[107],"performance":[108],"detecting":[110],"tiny":[111],"objects.":[112],"To":[113],"identify":[114],"optimal":[116],"configuration,":[117],"thorough":[118],"ablation":[119],"experiments":[120],"were":[121],"conducted":[122],"involving":[123],"different":[124],"modules\u2014":[126],"Convolutional":[127],"Block":[128],"(CBAM),":[131],"Coordinate":[132],"Attention,":[133,135],"Shuffle":[134],"Squeeze-And-Excitation,":[136],"Efficient":[137],"Channel":[138],"(ECA),":[140],"proposed":[142],"MGDAM.":[143],"Experimental":[144],"results":[145],"show":[146],"MGDAM-enhanced":[149],"achieves":[152],"0.4%":[154],"gain":[155],"mAP50":[157],"1.7%":[160],"boost":[161],"mAP50\u2013":[163],"95":[164],"over":[165],"baseline.":[168],"Finally,":[169],"testing":[171],"confirms":[172],"robust":[173],"under":[176],"challenging":[177],"conditions":[178],"(e.g.,":[179],"extreme":[180],"lighting":[181],"clutter),":[183],"demonstrating":[184],"method\u2019s":[186],"efficacy":[187],"improving":[189],"surveillance":[191],"security":[193],"measures.":[194]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
