{"id":"https://openalex.org/W4399169398","doi":"https://doi.org/10.1109/wf-iot58464.2023.10539479","title":"An Optimized Object Detection Algorithm for Unmanned Aerial Vehicles (UAVs)","display_name":"An Optimized Object Detection Algorithm for Unmanned Aerial Vehicles (UAVs)","publication_year":2023,"publication_date":"2023-10-12","ids":{"openalex":"https://openalex.org/W4399169398","doi":"https://doi.org/10.1109/wf-iot58464.2023.10539479"},"language":"en","primary_location":{"id":"doi:10.1109/wf-iot58464.2023.10539479","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/wf-iot58464.2023.10539479","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 9th World Forum on Internet of Things (WF-IoT)","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/A5098943914","display_name":"Temilola Onifade","orcid":null},"institutions":[{"id":"https://openalex.org/I79516672","display_name":"University of Louisiana at Lafayette","ror":"https://ror.org/01x8rc503","country_code":"US","type":"education","lineage":["https://openalex.org/I2799628689","https://openalex.org/I79516672"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Temilola Onifade","raw_affiliation_strings":["University of Louisiana at Lafayette,Department of Electrical and Computer Engineering,USA","Department of Electrical and Computer Engineering, University of Louisiana at Lafayette, USA"],"affiliations":[{"raw_affiliation_string":"University of Louisiana at Lafayette,Department of Electrical and Computer Engineering,USA","institution_ids":["https://openalex.org/I79516672"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Louisiana at Lafayette, USA","institution_ids":["https://openalex.org/I79516672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026881865","display_name":"Omar Eldash","orcid":"https://orcid.org/0000-0002-3651-5132"},"institutions":[{"id":"https://openalex.org/I79516672","display_name":"University of Louisiana at Lafayette","ror":"https://ror.org/01x8rc503","country_code":"US","type":"education","lineage":["https://openalex.org/I2799628689","https://openalex.org/I79516672"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Omar Eldash","raw_affiliation_strings":["University of Louisiana at Lafayette,Department of Electrical and Computer Engineering,USA","Department of Electrical and Computer Engineering, University of Louisiana at Lafayette, USA"],"affiliations":[{"raw_affiliation_string":"University of Louisiana at Lafayette,Department of Electrical and Computer Engineering,USA","institution_ids":["https://openalex.org/I79516672"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Louisiana at Lafayette, USA","institution_ids":["https://openalex.org/I79516672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010023744","display_name":"Magdy Bayoumi","orcid":"https://orcid.org/0000-0002-0630-5273"},"institutions":[{"id":"https://openalex.org/I79516672","display_name":"University of Louisiana at Lafayette","ror":"https://ror.org/01x8rc503","country_code":"US","type":"education","lineage":["https://openalex.org/I2799628689","https://openalex.org/I79516672"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Magdy Bayoumi","raw_affiliation_strings":["University of Louisiana at Lafayette,Department of Electrical and Computer Engineering,USA","Department of Electrical and Computer Engineering, University of Louisiana at Lafayette, USA"],"affiliations":[{"raw_affiliation_string":"University of Louisiana at Lafayette,Department of Electrical and Computer Engineering,USA","institution_ids":["https://openalex.org/I79516672"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Louisiana at Lafayette, USA","institution_ids":["https://openalex.org/I79516672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5098943914"],"corresponding_institution_ids":["https://openalex.org/I79516672"],"apc_list":null,"apc_paid":null,"fwci":0.1228,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.4750222,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"8","issue":null,"first_page":"01","last_page":"07"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9991000294685364,"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":0.9991000294685364,"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":0.9975000023841858,"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"}},{"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"}}],"keywords":[{"id":"https://openalex.org/keywords/drone","display_name":"Drone","score":0.8910540342330933},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7889001369476318},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6694830060005188},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6303034424781799},{"id":"https://openalex.org/keywords/collision-avoidance","display_name":"Collision avoidance","score":0.5329039692878723},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4650261402130127},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42847323417663574},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3694639205932617},{"id":"https://openalex.org/keywords/collision","display_name":"Collision","score":0.3649890720844269},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35024213790893555},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.22775989770889282}],"concepts":[{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.8910540342330933},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7889001369476318},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6694830060005188},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6303034424781799},{"id":"https://openalex.org/C2780864053","wikidata":"https://www.wikidata.org/wiki/Q5147495","display_name":"Collision avoidance","level":3,"score":0.5329039692878723},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4650261402130127},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42847323417663574},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3694639205932617},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.3649890720844269},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35024213790893555},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.22775989770889282},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wf-iot58464.2023.10539479","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/wf-iot58464.2023.10539479","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 9th World Forum on Internet of Things (WF-IoT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W155231534","https://openalex.org/W639708223","https://openalex.org/W2547032273","https://openalex.org/W2810092033","https://openalex.org/W2884367402","https://openalex.org/W2902726851","https://openalex.org/W2940612399","https://openalex.org/W2963037989","https://openalex.org/W2969126124","https://openalex.org/W2983403079","https://openalex.org/W3033271745","https://openalex.org/W3043995050","https://openalex.org/W3115999170","https://openalex.org/W3137336600","https://openalex.org/W3146332956","https://openalex.org/W4200335308","https://openalex.org/W4224236022","https://openalex.org/W4291208863","https://openalex.org/W4291819654","https://openalex.org/W4307552005","https://openalex.org/W6752916225"],"related_works":["https://openalex.org/W4229448053","https://openalex.org/W4247925126","https://openalex.org/W4327774218","https://openalex.org/W2059768187","https://openalex.org/W4312858960","https://openalex.org/W1819938260","https://openalex.org/W2340892746","https://openalex.org/W3005999311","https://openalex.org/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"The":[0,89],"application":[1],"of":[2,14,130,145,175],"Unmanned":[3],"Aerial":[4],"Vehicles":[5],"(UAVs)":[6],"has":[7],"greatly":[8],"benefited":[9],"from":[10],"the":[11,67,114,128,131,146,154,172],"rapid":[12],"advancement":[13],"artificial":[15],"intelligence":[16,22],"in":[17,137,153],"research":[18],"and":[19,30,51,87,98,105,112,122,139,165],"development.":[20],"Artificial":[21],"techniques":[23],"such":[24],"as":[25],"speech":[26],"recognition,":[27],"computer":[28,41],"vision,":[29],"facial":[31],"recognition":[32],"have":[33],"significantly":[34],"enhanced":[35,44],"UAV":[36,55],"capabilities.":[37],"This":[38,158],"paper":[39],"utilizes":[40],"vision":[42],"with":[43],"datasets":[45],"to":[46,62,66,109,126,161],"enable":[47],"better":[48],"object":[49,91],"detection":[50,92],"collision":[52,76],"avoidance":[53],"for":[54,78,102,167],"use.":[56],"A":[57],"labeled":[58],"dataset":[59],"is":[60],"employed":[61],"improve":[63],"accuracy":[64,106,121,166],"compared":[65],"currently":[68],"used":[69],"dataset.":[70,115],"Some":[71],"identified":[72],"obstacles":[73],"that":[74],"pose":[75],"risks":[77],"UAVs":[79],"during":[80],"flight":[81],"include":[82],"birds,":[83],"trees,":[84],"drones,":[85],"airplanes,":[86],"helicopters.":[88],"best":[90],"algorithms,":[93],"You":[94],"Only":[95],"Look":[96],"Once(YOLO)":[97],"Faster":[99],"R-CNN,":[100],"known":[101],"their":[103],"speed":[104,164],"are":[107,124],"utilized":[108],"train,":[110],"validate,":[111],"test":[113],"Furthermore,":[116],"important":[117],"performance":[118,174],"metrics,":[119],"primarily":[120],"speed,":[123],"discussed":[125],"evaluate":[127],"effectiveness":[129],"algorithms.":[132],"Inaccurate":[133],"models":[134],"may":[135],"result":[136],"collisions":[138],"subsequent":[140],"damages,":[141],"while":[142],"excessive":[143],"runtime":[144],"machine":[147],"learning":[148],"model":[149],"can":[150],"cause":[151],"delays":[152],"drone's":[155],"response":[156],"time.":[157],"project":[159],"aims":[160],"attain":[162],"comparable":[163],"drone":[168],"flight,":[169],"thereby":[170],"enhancing":[171],"overall":[173],"UAVs.":[176]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}
