{"id":"https://openalex.org/W4366517555","doi":"https://doi.org/10.1145/3582099.3582113","title":"The drone detection based on improved YOLOv5","display_name":"The drone detection based on improved YOLOv5","publication_year":2022,"publication_date":"2022-12-17","ids":{"openalex":"https://openalex.org/W4366517555","doi":"https://doi.org/10.1145/3582099.3582113"},"language":"en","primary_location":{"id":"doi:10.1145/3582099.3582113","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3582099.3582113","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 5th Artificial Intelligence and Cloud Computing Conference","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/A5090614741","display_name":"Ziwei Tian","orcid":"https://orcid.org/0000-0001-6833-9869"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ziwei Tian","raw_affiliation_strings":["Zhengzhou University, China"],"raw_orcid":"https://orcid.org/0000-0001-6833-9869","affiliations":[{"raw_affiliation_string":"Zhengzhou University, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082288137","display_name":"Jie Huang","orcid":"https://orcid.org/0000-0003-2396-7946"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Huang","raw_affiliation_strings":["PLA Information Engineering University, China"],"raw_orcid":"https://orcid.org/0000-0003-2396-7946","affiliations":[{"raw_affiliation_string":"PLA Information Engineering University, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043081138","display_name":"Yang Yang","orcid":"https://orcid.org/0000-0002-8851-1790"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Yang","raw_affiliation_strings":["PLA Information Engineering University, China"],"raw_orcid":"https://orcid.org/0000-0002-8851-1790","affiliations":[{"raw_affiliation_string":"PLA Information Engineering University, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050036174","display_name":"Weiying Nie","orcid":"https://orcid.org/0000-0003-0278-8754"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiying Nie","raw_affiliation_strings":["Central China Normal University, China"],"raw_orcid":"https://orcid.org/0000-0003-0278-8754","affiliations":[{"raw_affiliation_string":"Central China Normal University, China","institution_ids":["https://openalex.org/I40963666"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5090614741"],"corresponding_institution_ids":["https://openalex.org/I38877650"],"apc_list":null,"apc_paid":null,"fwci":0.102,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.43490811,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"83","last_page":"89"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9955000281333923,"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/T11133","display_name":"UAV Applications and Optimization","score":0.9865000247955322,"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/drone","display_name":"Drone","score":0.9862756729125977},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7158653140068054},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5095036625862122},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5071756839752197},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4772074818611145},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3912944197654724},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.353384405374527},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11898210644721985}],"concepts":[{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.9862756729125977},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7158653140068054},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5095036625862122},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5071756839752197},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4772074818611145},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3912944197654724},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.353384405374527},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11898210644721985},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3582099.3582113","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3582099.3582113","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 5th Artificial Intelligence and Cloud Computing Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2163605009","https://openalex.org/W2565639579","https://openalex.org/W2613718673","https://openalex.org/W2985445719"],"related_works":["https://openalex.org/W4360603849","https://openalex.org/W3101676691","https://openalex.org/W4312959403","https://openalex.org/W4224881325","https://openalex.org/W2104432455","https://openalex.org/W2948434816","https://openalex.org/W2747873377","https://openalex.org/W3168496988","https://openalex.org/W4226383822","https://openalex.org/W3162138263"],"abstract_inverted_index":{"The":[0,96],"wide":[1],"application":[2],"of":[3,24,46,67,85],"drones":[4,30,56,90],"not":[5],"only":[6],"brings":[7],"convenience":[8],"to":[9,18,34],"production":[10],"and":[11,43,77,102,108,114,119],"life,":[12],"but":[13],"also":[14],"poses":[15],"a":[16,54],"threat":[17],"public":[19],"safety.":[20],"Therefore,":[21,50],"the":[22,65,71,82,86,105,123,137],"detection":[23,38,57,83,130],"s":[25],"is":[26,94,100,126],"crucial.":[27],"However,":[28],"tiny":[29,48,55],"make":[31],"it":[32,140],"difficult":[33],"cope":[35],"with":[36,136],"traditional":[37],"methods":[39],"such":[40],"as":[41],"radar":[42],"photoelectricity":[44],"because":[45],"their":[47],"size.":[49],"this":[51],"paper":[52],"proposed":[53],"method":[58],"based":[59],"on":[60,104],"YOLOv5":[61,98,125],"framework.":[62],"By":[63],"optimizing":[64],"size":[66],"Anchor":[68],"box,":[69],"embedding":[70],"Convolutional":[72],"Block":[73],"Attention":[74],"Module":[75],"(CBAM)":[76],"optimized":[78],"loss":[79],"function":[80],"(CIoU),":[81],"performance":[84],"original":[87,138],"algorithm":[88,99],"for":[89,128],"under":[91],"complex":[92,132],"background":[93,133],"improved.":[95],"improved":[97,124],"trained":[101],"tested":[103],"self-built":[106],"dataset,":[107],"its":[109],"mean":[110],"Average":[111],"Precision,":[112],"Accuracy":[113],"Recall":[115],"reach":[116],"96.9%,":[117],"97.8%":[118],"95.6%":[120],"respectively.":[121],"Finally,":[122],"used":[127],"drone":[129,144],"in":[131,146],"environments.":[134,148],"Compared":[135],"algorithm,":[139],"can":[141],"correctly":[142],"identify":[143],"targets":[145],"harsh":[147]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}