{"id":"https://openalex.org/W4407247455","doi":"https://doi.org/10.1109/tce.2025.3539652","title":"Robust Lightweight UAV Inspection System for Consumer Electronics Applications in Smart Grids","display_name":"Robust Lightweight UAV Inspection System for Consumer Electronics Applications in Smart Grids","publication_year":2025,"publication_date":"2025-02-07","ids":{"openalex":"https://openalex.org/W4407247455","doi":"https://doi.org/10.1109/tce.2025.3539652"},"language":"en","primary_location":{"id":"doi:10.1109/tce.2025.3539652","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2025.3539652","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"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 Transactions on Consumer Electronics","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/A5100419394","display_name":"Xiaoyu Zhang","orcid":"https://orcid.org/0000-0002-0209-531X"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao-Yu Zhang","raw_affiliation_strings":["School of Artificial Intelligence, Anhui University, Hefei, Anhui, China"],"raw_orcid":"https://orcid.org/0000-0002-0209-531X","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Anhui University, Hefei, Anhui, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100644368","display_name":"Xuan Yang","orcid":"https://orcid.org/0000-0002-6319-8072"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Xuan","raw_affiliation_strings":["School of Artificial Intelligence, Anhui University, Hefei, Anhui, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Anhui University, Hefei, Anhui, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057898837","display_name":"Chaoxu Mu","orcid":"https://orcid.org/0000-0003-1055-9513"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaoxu Mu","raw_affiliation_strings":["School of Artificial Intelligence, Anhui University, Hefei, Anhui, China"],"raw_orcid":"https://orcid.org/0000-0003-1055-9513","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Anhui University, Hefei, Anhui, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037245061","display_name":"Zhenhuan Ding","orcid":"https://orcid.org/0000-0001-6614-8188"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenhuan Ding","raw_affiliation_strings":["School of Artificial Intelligence, Anhui University, Hefei, Anhui, China"],"raw_orcid":"https://orcid.org/0000-0001-6614-8188","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Anhui University, Hefei, Anhui, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100460685","display_name":"Hui Wang","orcid":"https://orcid.org/0000-0001-7048-853X"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Wang","raw_affiliation_strings":["School of Artificial Intelligence, Anhui University, Hefei, Anhui, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Anhui University, Hefei, Anhui, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028168526","display_name":"Peiqian Guo","orcid":"https://orcid.org/0000-0001-6555-351X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peiqian Guo","raw_affiliation_strings":["Department of Electrical Engineering, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-6555-351X","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.7464,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.92762745,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"71","issue":"2","first_page":"3118","last_page":"3128"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12222","display_name":"IoT-based Smart Home Systems","score":0.9711999893188477,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T12222","display_name":"IoT-based Smart Home Systems","score":0.9711999893188477,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9599999785423279,"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"}},{"id":"https://openalex.org/T13715","display_name":"Power Line Inspection Robots","score":0.9484000205993652,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/electronics","display_name":"Electronics","score":0.6469282507896423},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5394952893257141},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.4713142514228821},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.38991695642471313},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.29375791549682617}],"concepts":[{"id":"https://openalex.org/C138331895","wikidata":"https://www.wikidata.org/wiki/Q11650","display_name":"Electronics","level":2,"score":0.6469282507896423},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5394952893257141},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.4713142514228821},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.38991695642471313},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.29375791549682617}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tce.2025.3539652","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2025.3539652","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"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 Transactions on Consumer Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.5299999713897705,"id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G3981438236","display_name":null,"funder_award_id":"62303005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6532556903","display_name":null,"funder_award_id":"U24A20243","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7450045114","display_name":null,"funder_award_id":"W2421091","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W2897772777","https://openalex.org/W2921199990","https://openalex.org/W2944462776","https://openalex.org/W3018757597","https://openalex.org/W3035414587","https://openalex.org/W3135281326","https://openalex.org/W3155174489","https://openalex.org/W3194790201","https://openalex.org/W4205521763","https://openalex.org/W4226154576","https://openalex.org/W4226434816","https://openalex.org/W4281790833","https://openalex.org/W4285250327","https://openalex.org/W4293057111","https://openalex.org/W4297912733","https://openalex.org/W4313119025","https://openalex.org/W4320029744","https://openalex.org/W4328007770","https://openalex.org/W4353004354","https://openalex.org/W4360995420","https://openalex.org/W4379958746","https://openalex.org/W4387042926","https://openalex.org/W4387917711","https://openalex.org/W4388469725","https://openalex.org/W4390480947","https://openalex.org/W4390956158","https://openalex.org/W4391992600","https://openalex.org/W4392309216","https://openalex.org/W4399527494","https://openalex.org/W4399800978","https://openalex.org/W4399939593","https://openalex.org/W4399988239"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"With":[0],"the":[1,7,50,73,118,132,139,144],"expansion":[2],"of":[3,52,146],"smart":[4,25],"grids,":[5],"and":[6,24,41,44,62,80,100,103,123,142],"increasing":[8],"need":[9],"for":[10,18,68],"efficient":[11],"infrastructure":[12],"management,":[13],"UAVs":[14],"have":[15],"become":[16],"vital":[17],"tasks":[19],"such":[20],"as":[21],"object":[22,134],"detection":[23,135],"grid":[26],"inspections.":[27],"However,":[28],"current":[29],"UAV-based":[30],"systems":[31],"face":[32],"challenges":[33],"related":[34],"to":[35,96,107],"environmental":[36],"factors":[37],"(e.g.,":[38],"fog,":[39],"wind,":[40],"low":[42],"visibility)":[43],"limited":[45],"computational":[46],"power,":[47],"which":[48],"restrict":[49],"use":[51],"advanced":[53,76],"computer":[54,77],"vision":[55,78],"techniques.":[56],"This":[57],"work":[58],"presents":[59],"a":[60,89,92,112,153],"lightweight":[61,90],"robust":[63],"YOLOv8":[64],"(LR-YOLOv8)":[65],"model":[66,87,140],"designed":[67],"consumer":[69],"electronics":[70],"applications,":[71],"bridging":[72],"gap":[74],"between":[75],"algorithms":[79],"real-time":[81],"operations":[82],"on":[83],"resource-constrained":[84],"UAVs.":[85],"The":[86,125],"integrates":[88],"architecture,":[91],"soft":[93],"thresholding":[94],"strategy":[95],"handle":[97],"noisy":[98],"data,":[99],"hue,":[101],"saturation,":[102],"value":[104],"(HSV)":[105],"augmentation":[106],"simulate":[108],"complex":[109],"environments.":[110],"Additionally,":[111],"multiscale":[113],"domain-adapted":[114],"loss":[115],"function":[116],"improves":[117],"mean":[119],"average":[120],"precision":[121],"(mAP)":[122],"robustness.":[124],"experimental":[126],"results":[127],"demonstrate":[128],"that,":[129],"compared":[130],"with":[131],"existing":[133],"methods,":[136],"LR-YOLOv8":[137],"reduces":[138],"weight,":[141],"increases":[143],"number":[145],"frames":[147],"per":[148],"second":[149],"(FPS),":[150],"while":[151],"achieving":[152],"higher":[154],"mAP.":[155]},"counts_by_year":[{"year":2025,"cited_by_count":7}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
