{"id":"https://openalex.org/W3213063024","doi":"https://doi.org/10.1109/jiot.2021.3128065","title":"Performance Evaluation and Analysis of Drone-Based Vehicle Detection Techniques From Deep Learning Perspective","display_name":"Performance Evaluation and Analysis of Drone-Based Vehicle Detection Techniques From Deep Learning Perspective","publication_year":2021,"publication_date":"2021-11-15","ids":{"openalex":"https://openalex.org/W3213063024","doi":"https://doi.org/10.1109/jiot.2021.3128065","mag":"3213063024"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2021.3128065","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2021.3128065","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-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/A5055392194","display_name":"Igor Bisio","orcid":"https://orcid.org/0000-0003-3198-7306"},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Igor Bisio","raw_affiliation_strings":["DITEN Department, University of Genoa, Genova, Italy"],"affiliations":[{"raw_affiliation_string":"DITEN Department, University of Genoa, Genova, Italy","institution_ids":["https://openalex.org/I83816512"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050626776","display_name":"Halar Haleem","orcid":"https://orcid.org/0000-0001-9589-6505"},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Halar Haleem","raw_affiliation_strings":["DITEN Department, University of Genoa, Genova, Italy"],"affiliations":[{"raw_affiliation_string":"DITEN Department, University of Genoa, Genova, Italy","institution_ids":["https://openalex.org/I83816512"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045825361","display_name":"Chiara Garibotto","orcid":"https://orcid.org/0000-0002-6107-2484"},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Chiara Garibotto","raw_affiliation_strings":["DITEN Department, University of Genoa, Genova, Italy"],"affiliations":[{"raw_affiliation_string":"DITEN Department, University of Genoa, Genova, Italy","institution_ids":["https://openalex.org/I83816512"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069126784","display_name":"Fabio Lavagetto","orcid":"https://orcid.org/0000-0003-3692-4021"},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Fabio Lavagetto","raw_affiliation_strings":["DITEN Department, University of Genoa, Genova, Italy"],"affiliations":[{"raw_affiliation_string":"DITEN Department, University of Genoa, Genova, Italy","institution_ids":["https://openalex.org/I83816512"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046303512","display_name":"Andrea Sciarrone","orcid":"https://orcid.org/0000-0001-7023-2710"},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Andrea Sciarrone","raw_affiliation_strings":["DITEN Department, University of Genoa, Genova, Italy"],"affiliations":[{"raw_affiliation_string":"DITEN Department, University of Genoa, Genova, Italy","institution_ids":["https://openalex.org/I83816512"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5055392194"],"corresponding_institution_ids":["https://openalex.org/I83816512"],"apc_list":null,"apc_paid":null,"fwci":2.1135,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.89387255,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"9","issue":"13","first_page":"10920","last_page":"10935"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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":0.9998999834060669,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9993000030517578,"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":0.9879000186920166,"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/computer-science","display_name":"Computer science","score":0.82413649559021},{"id":"https://openalex.org/keywords/drone","display_name":"Drone","score":0.8150445222854614},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.7096636295318604},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.5993800163269043},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5600350499153137},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5577118992805481},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5097863078117371},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4863598942756653},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4860301613807678},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39657631516456604},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.14777928590774536}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.82413649559021},{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.8150445222854614},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.7096636295318604},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.5993800163269043},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5600350499153137},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5577118992805481},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5097863078117371},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4863598942756653},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4860301613807678},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39657631516456604},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.14777928590774536},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jiot.2021.3128065","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2021.3128065","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-article"},{"id":"pmh:oai:iris.unige.it:11567/1063554","is_oa":false,"landing_page_url":"http://hdl.handle.net/11567/1063554","pdf_url":null,"source":{"id":"https://openalex.org/S4377196291","display_name":"CINECA IRIS Institutial Research Information System (University of Genoa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I83816512","host_organization_name":"University of Genoa","host_organization_lineage":["https://openalex.org/I83816512"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1522301498","https://openalex.org/W1536680647","https://openalex.org/W1686810756","https://openalex.org/W1861492603","https://openalex.org/W2037227137","https://openalex.org/W2097117768","https://openalex.org/W2102605133","https://openalex.org/W2109255472","https://openalex.org/W2162915993","https://openalex.org/W2163605009","https://openalex.org/W2165698076","https://openalex.org/W2194775991","https://openalex.org/W2307770531","https://openalex.org/W2570343428","https://openalex.org/W2597364644","https://openalex.org/W2884367402","https://openalex.org/W2889606600","https://openalex.org/W2899607431","https://openalex.org/W2901291024","https://openalex.org/W2913012218","https://openalex.org/W2915476573","https://openalex.org/W2950800384","https://openalex.org/W2955425717","https://openalex.org/W2963037989","https://openalex.org/W2963150697","https://openalex.org/W2963351448","https://openalex.org/W2963786238","https://openalex.org/W2963915818","https://openalex.org/W2964241181","https://openalex.org/W2973851319","https://openalex.org/W2986357608","https://openalex.org/W2988452521","https://openalex.org/W2989604896","https://openalex.org/W3001057419","https://openalex.org/W3011722050","https://openalex.org/W3012573144","https://openalex.org/W3018757597","https://openalex.org/W3020146925","https://openalex.org/W3034971973","https://openalex.org/W3042011474","https://openalex.org/W3043944662","https://openalex.org/W3095320185","https://openalex.org/W3106250896","https://openalex.org/W3110532956","https://openalex.org/W3113929572","https://openalex.org/W3124372372","https://openalex.org/W3167308647","https://openalex.org/W3184439416","https://openalex.org/W4293584584","https://openalex.org/W4299518610","https://openalex.org/W6620707391","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6639102338","https://openalex.org/W6682132143","https://openalex.org/W6714138976","https://openalex.org/W6750227808","https://openalex.org/W6753494528","https://openalex.org/W6762718338","https://openalex.org/W6777046832","https://openalex.org/W6780945792","https://openalex.org/W6785652829","https://openalex.org/W6798838024"],"related_works":["https://openalex.org/W4229448053","https://openalex.org/W2059768187","https://openalex.org/W4247925126","https://openalex.org/W4312858960","https://openalex.org/W4287991909","https://openalex.org/W2949096641","https://openalex.org/W2970686063","https://openalex.org/W3034745255","https://openalex.org/W4254103348","https://openalex.org/W3210378990"],"abstract_inverted_index":{"From":[0],"smart":[1],"cities":[2],"development":[3,42],"perspective,":[4],"road":[5],"vehicle":[6,47,113],"detection":[7,83,101,114],"exploiting":[8],"drone-based":[9],"aerial":[10],"imagery":[11],"is":[12,165],"a":[13,89,171],"crucial":[14],"part":[15],"of":[16,26,35,46,67,71,80,93,95,112,126,151,157],"traffic":[17],"surveillance":[18],"and":[19,73,173],"monitoring":[20],"systems":[21,84],"where":[22],"effective":[23],"results":[24,136],"are":[25,144],"utmost":[27],"demand.":[28],"A":[29],"recent":[30],"boom":[31],"in":[32,43,64],"the":[33,44,57,61,65,69,78,96,116,120,127,135,139,149,155],"field":[34,66],"deep":[36],"learning":[37],"(DL)":[38],"has":[39,76,103,130],"provided":[40,137],"remarkable":[41],"problem":[45],"detection.":[48],"Aerial":[49],"views":[50],"pose":[51],"more":[52],"complexity":[53],"with":[54,108,134],"respect":[55],"to":[56,147],"ground":[58],"view":[59],"but":[60],"rapid":[62],"advancement":[63],"DL,":[68],"volume":[70],"data,":[72],"hardware":[74],"configuration":[75],"facilitated":[77],"realization":[79],"these":[81],"intelligent":[82],"effectively.":[85],"In":[86],"this":[87],"article,":[88],"detailed":[90],"performance":[91,125],"evaluation":[92],"some":[94],"main":[97],"state-of-the-art":[98],"DL-based":[99],"object":[100],"techniques":[102],"been":[104,131],"carried":[105],"out":[106],"along":[107],"an":[109],"experimental":[110],"analysis":[111],"using":[115],"RetinaNet":[117,128],"framework":[118,129],"on":[119,170],"VisDrone-benchmark":[121],"data":[122],"set.":[123],"The":[124],"validated":[132],"together":[133],"by":[138],"VisDrone":[140],"team.":[141],"Further":[142],"experiments":[143],"then":[145],"conducted":[146],"investigate":[148],"impact":[150],"various":[152],"parameters.":[153],"Finally,":[154],"selection":[156],"suitable":[158],"models":[159],"that":[160],"can":[161],"be":[162],"practically":[163],"implemented":[164],"also":[166],"discussed":[167],"based":[168],"both":[169],"qualitative":[172],"quantitative":[174],"analysis.":[175]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":19},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":9}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}