{"id":"https://openalex.org/W4317383143","doi":"https://doi.org/10.1109/robio55434.2022.10011729","title":"UAV Forest Fire Detection based on RepVGG-YOLOv5","display_name":"UAV Forest Fire Detection based on RepVGG-YOLOv5","publication_year":2022,"publication_date":"2022-12-05","ids":{"openalex":"https://openalex.org/W4317383143","doi":"https://doi.org/10.1109/robio55434.2022.10011729"},"language":"en","primary_location":{"id":"doi:10.1109/robio55434.2022.10011729","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio55434.2022.10011729","pdf_url":null,"source":{"id":"https://openalex.org/S4363607789","display_name":"2022 IEEE International Conference on Robotics and Biomimetics (ROBIO)","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":"2022 IEEE International Conference on Robotics and Biomimetics (ROBIO)","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/A5030581708","display_name":"Kang Song","orcid":"https://orcid.org/0000-0002-1557-3966"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210165339","display_name":"Ningbo Institute of Industrial Technology","ror":"https://ror.org/05nqg3g04","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165339"]},{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kang Song","raw_affiliation_strings":["Soochow University,Department of Automation Engineering, School of Mechanical and Electrical Engineering,Suzhou,China,215137","Ningbo Institute of Materi-als Technology & Engineering, Chinese Academy of Sciences, Zhejiang Key Laboratory of Robotics and Intelligent Manufacturing Equipment Technology, Ningbo, China"],"affiliations":[{"raw_affiliation_string":"Soochow University,Department of Automation Engineering, School of Mechanical and Electrical Engineering,Suzhou,China,215137","institution_ids":["https://openalex.org/I3923682"]},{"raw_affiliation_string":"Ningbo Institute of Materi-als Technology & Engineering, Chinese Academy of Sciences, Zhejiang Key Laboratory of Robotics and Intelligent Manufacturing Equipment Technology, Ningbo, China","institution_ids":["https://openalex.org/I4210165339","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051733113","display_name":"Yueyuan Zhang","orcid":"https://orcid.org/0000-0002-1612-2710"},"institutions":[{"id":"https://openalex.org/I4210165339","display_name":"Ningbo Institute of Industrial Technology","ror":"https://ror.org/05nqg3g04","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165339"]},{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yueyuan Zhang","raw_affiliation_strings":["Soochow University,Department of Automation Engineering, School of Mechanical and Electrical Engineering,Suzhou,China,215137","Ningbo Institute of Materi-als Technology & Engineering, Chinese Academy of Sciences, Zhejiang Key Laboratory of Robotics and Intelligent Manufacturing Equipment Technology, Ningbo, China"],"affiliations":[{"raw_affiliation_string":"Soochow University,Department of Automation Engineering, School of Mechanical and Electrical Engineering,Suzhou,China,215137","institution_ids":["https://openalex.org/I3923682"]},{"raw_affiliation_string":"Ningbo Institute of Materi-als Technology & Engineering, Chinese Academy of Sciences, Zhejiang Key Laboratory of Robotics and Intelligent Manufacturing Equipment Technology, Ningbo, China","institution_ids":["https://openalex.org/I4210165339","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101776400","display_name":"Bo L\u00fc","orcid":"https://orcid.org/0000-0003-0471-7546"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Lu","raw_affiliation_strings":["Soochow University,Robotics and Microsystems Center, School of Mechanical and Electrical Engineering,Suzhou,China,215137"],"affiliations":[{"raw_affiliation_string":"Soochow University,Robotics and Microsystems Center, School of Mechanical and Electrical Engineering,Suzhou,China,215137","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014759749","display_name":"Wenzheng Chi","orcid":"https://orcid.org/0000-0002-8121-2624"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenzheng Chi","raw_affiliation_strings":["Soochow University,Robotics and Microsystems Center, School of Mechanical and Electrical Engineering,Suzhou,China,215137"],"affiliations":[{"raw_affiliation_string":"Soochow University,Robotics and Microsystems Center, School of Mechanical and Electrical Engineering,Suzhou,China,215137","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028713186","display_name":"Lining Sun","orcid":"https://orcid.org/0000-0001-5557-3509"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lining Sun","raw_affiliation_strings":["Soochow University,Robotics and Microsystems Center, School of Mechanical and Electrical Engineering,Suzhou,China,215137"],"affiliations":[{"raw_affiliation_string":"Soochow University,Robotics and Microsystems Center, School of Mechanical and Electrical Engineering,Suzhou,China,215137","institution_ids":["https://openalex.org/I3923682"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5030581708"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I3923682","https://openalex.org/I4210165339"],"apc_list":null,"apc_paid":null,"fwci":1.0153,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.95014955,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1277","last_page":"1282"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12597","display_name":"Fire Detection and Safety Systems","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9983999729156494,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9950000047683716,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/fire-detection","display_name":"Fire detection","score":0.7246817350387573},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6976443529129028},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.662397563457489},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.540481686592102},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4788098931312561},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4164220690727234},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3676145076751709},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.1656166911125183},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15737494826316833},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09082549810409546},{"id":"https://openalex.org/keywords/architectural-engineering","display_name":"Architectural engineering","score":0.07793658971786499}],"concepts":[{"id":"https://openalex.org/C2780836893","wikidata":"https://www.wikidata.org/wiki/Q19922674","display_name":"Fire detection","level":2,"score":0.7246817350387573},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6976443529129028},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.662397563457489},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.540481686592102},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4788098931312561},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4164220690727234},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3676145076751709},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.1656166911125183},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15737494826316833},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09082549810409546},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.07793658971786499}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/robio55434.2022.10011729","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio55434.2022.10011729","pdf_url":null,"source":{"id":"https://openalex.org/S4363607789","display_name":"2022 IEEE International Conference on Robotics and Biomimetics (ROBIO)","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":"2022 IEEE International Conference on Robotics and Biomimetics (ROBIO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5400000214576721,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[{"id":"https://openalex.org/G3369209961","display_name":null,"funder_award_id":"62103295,21KJB510045,RIE2020OSF05","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W2012442533","https://openalex.org/W2109255472","https://openalex.org/W2194775991","https://openalex.org/W2565639579","https://openalex.org/W2570343428","https://openalex.org/W2603776936","https://openalex.org/W2963037989","https://openalex.org/W2963857746","https://openalex.org/W2978858971","https://openalex.org/W3018757597","https://openalex.org/W3042011474","https://openalex.org/W3049293014","https://openalex.org/W3090022951","https://openalex.org/W3119627071","https://openalex.org/W3136217325","https://openalex.org/W3167976421","https://openalex.org/W3196908521","https://openalex.org/W4211057462","https://openalex.org/W4246193833","https://openalex.org/W4293584584","https://openalex.org/W6637373629","https://openalex.org/W6750227808","https://openalex.org/W6777046832"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2358832620","https://openalex.org/W2381458399","https://openalex.org/W2949096641","https://openalex.org/W2970686063","https://openalex.org/W4320729701","https://openalex.org/W4254103348","https://openalex.org/W3210378990","https://openalex.org/W3034745255","https://openalex.org/W1007896408"],"abstract_inverted_index":{"The":[0,89],"safety":[1],"of":[2,6,20,26,32,43,50,71,103,130,175,185,199,207,216],"forest":[3,21,34,72,119,192,218],"resources":[4],"is":[5,23],"great":[7,205],"im-portance":[8],"to":[9,82,99,124],"natural":[10],"and":[11,14,17,47,80,123,159,178,196],"public":[12],"safety,":[13],"the":[15,30,40,83,101,110,117,127,138,153,160,165,170,183,190,197,200,204],"efficient":[16],"accurate":[18,217],"detection":[19,36,61,97,113,121,128,176,179,194,211,220],"fires":[22,73],"an":[24,146],"issue":[25],"close":[27],"concern.":[28],"Considering":[29],"limitations":[31],"traditional":[33],"fire":[35,60,120,193,219],"methods,":[37],"such":[38],"as":[39],"limited":[41],"range":[42],"view":[44],"from":[45],"watchtowers":[46],"insufficient":[48],"resolution":[49],"satellite":[51],"images,":[52],"a":[53,93,141,156],"deep":[54,94],"learning-based":[55],"Unmanned":[56],"Aerial":[57],"Vehicle":[58],"(UAV)":[59],"system":[62],"has":[63,221],"been":[64,223],"proposed.":[65],"With":[66],"its":[67],"high":[68],"mobility,":[69],"images":[70],"can":[74],"be":[75],"captured":[76],"by":[77,135],"camera-equipped":[78],"UAV":[79,118,191],"transmitted":[81],"ground":[84,90],"station":[85,91],"in":[86,173,189],"real":[87],"time.":[88],"uses":[92],"learning":[95],"object":[96,112,210],"algorithm":[98,114],"achieve":[100],"recognition":[102],"fire.":[104],"In":[105],"this":[106,186,208],"paper,":[107],"we":[108,132,151],"choose":[109],"state-of-the-art":[111],"YOLOv5":[115,171],"for":[116,213],"scenario,":[122],"further":[125],"improve":[126],"performance":[129,177],"YOLOv5,":[131],"propose":[133],"RepVGG-YOLOv5":[134,167],"drawing":[136],"on":[137,155],"RepVGG":[139],"network,":[140],"training-time":[142],"multi-branch":[143],"topology":[144],"with":[145],"inference-time":[147],"plain":[148],"architecture.":[149],"Then":[150],"test":[152],"models":[154],"self-built":[157],"dataset,":[158],"experimental":[161],"results":[162],"show":[163],"that":[164],"improved":[166],"model":[168,172,188,201,212],"outperforms":[169],"terms":[174],"speed,":[180],"which":[181],"proves":[182],"feasibility":[184],"paper's":[187,209],"systems":[195],"effectiveness":[198],"improvement.":[202],"Furthermore,":[203],"potential":[206],"real-time":[214],"applications":[215],"also":[222],"demonstrated.":[224]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
