{"id":"https://openalex.org/W4403432550","doi":"https://doi.org/10.36893/jes.2024.v15i10.05","title":"ILLUMINATING AUTONOMY FEDERATED LEARNING FOR OBJECT DETECTION IN AUTONOMOUS VEHICLES UNDER LOW LIGHT","display_name":"ILLUMINATING AUTONOMY FEDERATED LEARNING FOR OBJECT DETECTION IN AUTONOMOUS VEHICLES UNDER LOW LIGHT","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4403432550","doi":"https://doi.org/10.36893/jes.2024.v15i10.05"},"language":"en","primary_location":{"id":"doi:10.36893/jes.2024.v15i10.05","doi":"https://doi.org/10.36893/jes.2024.v15i10.05","is_oa":true,"landing_page_url":"https://doi.org/10.36893/jes.2024.v15i10.05","pdf_url":"https://doi.org/10.36893/jes.2024.v15i10.05","source":{"id":"https://openalex.org/S4404662470","display_name":"Journal of engineering sciences.","issn_l":"0009-2258","issn":["0009-2258","0377-9254"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["anvur-scientific"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Engineering Sciences","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://doi.org/10.36893/jes.2024.v15i10.05","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113041255","display_name":"Devi Vara Prasad","orcid":"https://orcid.org/0000-0002-7875-801X","observed_orcids":["https://orcid.org/0000-0002-7875-801X"]},"institutions":[{"id":"https://openalex.org/I4405256248","display_name":"Malla Reddy Engineering College for Women","ror":"https://ror.org/03yyp5644","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405256248"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"DR.C.V.P.R PRASAD","raw_affiliation_strings":["Professor, Department of CSE , MALLAREDDY ENGINEERING COLLEGE FOR WOMEN , Maisammaguda , Secunderabad , Telangana"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Professor, Department of CSE , MALLAREDDY ENGINEERING COLLEGE FOR WOMEN , Maisammaguda , Secunderabad , Telangana","institution_ids":["https://openalex.org/I4405256248"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114279880","display_name":"AAYUSHI HOTTA","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"AAYUSHI HOTTA","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007604571","display_name":"B Guru Sneha","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"B.SNEHA","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114279881","display_name":"ADITI CHINTAREVULA","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405256248","display_name":"Malla Reddy Engineering College for Women","ror":"https://ror.org/03yyp5644","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405256248"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"ADITI CHINTAREVULA","raw_affiliation_strings":["Student, Department of CSE , MALLAREDDY ENGINEERING COLLEGE FOR WOMEN , Maisammaguda , Secunderabad , Telangana"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Student, Department of CSE , MALLAREDDY ENGINEERING COLLEGE FOR WOMEN , Maisammaguda , Secunderabad , Telangana","institution_ids":["https://openalex.org/I4405256248"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109682670","display_name":"Divya Sindhu","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"D. SRI SINDHU","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"15","issue":"10","first_page":"29","last_page":"38"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.5336999893188477,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.5336999893188477,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.23430000245571136,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.20579999685287476,"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/federated-learning","display_name":"federated learning","score":0.925000011920929},{"id":"https://openalex.org/keywords/object-detection","display_name":"object detection","score":0.875},{"id":"https://openalex.org/keywords/autonomous-vehicles","display_name":"autonomous vehicles","score":0.9950000047683716},{"id":"https://openalex.org/keywords/low-light-conditions","display_name":"low-light conditions","score":0.9390000104904175},{"id":"https://openalex.org/keywords/data-privacy","display_name":"data privacy","score":0.8019999861717224},{"id":"https://openalex.org/keywords/image-enhancement","display_name":"image enhancement","score":0.9169999957084656},{"id":"https://openalex.org/keywords/autonomous-driving","display_name":"autonomous driving","score":0.5559999942779541},{"id":"https://openalex.org/keywords/distributed-training","display_name":"distributed training","score":0.4169999957084656}],"concepts":[{"id":"https://openalex.org/C65414064","wikidata":"https://www.wikidata.org/wiki/Q484105","display_name":"Autonomy","level":2,"score":0.6514289379119873},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5275147557258606},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5065203905105591},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4752996861934662},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3491457998752594},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.13300392031669617},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.36893/jes.2024.v15i10.05","doi":"https://doi.org/10.36893/jes.2024.v15i10.05","is_oa":true,"landing_page_url":"https://doi.org/10.36893/jes.2024.v15i10.05","pdf_url":"https://doi.org/10.36893/jes.2024.v15i10.05","source":{"id":"https://openalex.org/S4404662470","display_name":"Journal of engineering sciences.","issn_l":"0009-2258","issn":["0009-2258","0377-9254"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["anvur-scientific"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Engineering Sciences","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.36893/jes.2024.v15i10.05","doi":"https://doi.org/10.36893/jes.2024.v15i10.05","is_oa":true,"landing_page_url":"https://doi.org/10.36893/jes.2024.v15i10.05","pdf_url":"https://doi.org/10.36893/jes.2024.v15i10.05","source":{"id":"https://openalex.org/S4404662470","display_name":"Journal of engineering sciences.","issn_l":"0009-2258","issn":["0009-2258","0377-9254"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["anvur-scientific"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Engineering Sciences","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7207000255584717,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403432550.pdf","grobid_xml":"https://content.openalex.org/works/W4403432550.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7128730418","https://openalex.org/W4416909351","https://openalex.org/W4408651206","https://openalex.org/W7220387042","https://openalex.org/W7162543854","https://openalex.org/W4407146920","https://openalex.org/W7130950264","https://openalex.org/W4408281846","https://openalex.org/W7214553103","https://openalex.org/W7160547355"],"abstract_inverted_index":{"Autonomous":[0],"vehicles":[1,52,68],"rely":[2],"heavily":[3],"on":[4],"object":[5,48,63,92],"detection":[6,49,64,119],"systems":[7],"to":[8,17,46,61,89,100],"navigate":[9],"safely,":[10],"yet":[11],"low-light":[12,55,91,122],"conditions":[13],"pose":[14],"significant":[15],"challenges":[16],"these":[18],"systems.":[19],"Traditional":[20],"centralized":[21],"machine":[22],"learning":[23,60,98],"approaches":[24],"require":[25],"substantial":[26],"data":[27,131],"aggregation,":[28],"raising":[29],"privacy":[30,75,132],"and":[31,104,111,127,133,143],"security":[32],"concerns.":[33],"This":[34,135],"paper":[35],"introduces":[36],"an":[37],"innovative":[38],"approach,":[39],"Illuminating":[40],"Autonomy":[41],"Federated":[42],"Learning":[43],"(IAFL),":[44],"designed":[45],"enhance":[47],"in":[50,121,148],"autonomous":[51,146],"operating":[53],"under":[54],"conditions.":[56,151],"IAFL":[57,116],"leverages":[58],"federated":[59,97],"train":[62],"models":[65],"across":[66,106],"multiple":[67],"without":[69],"centralizing":[70],"the":[71],"data,":[72],"thus":[73],"preserving":[74],"while":[76,129],"utilizing":[77],"diverse":[78],"realworld":[79],"driving":[80,147],"data.":[81],"The":[82],"approach":[83],"integrates":[84],"advanced":[85],"image":[86],"enhancement":[87],"techniques":[88],"improve":[90],"visibility,":[93],"combined":[94],"with":[95],"robust":[96],"algorithms":[99],"ensure":[101],"model":[102],"accuracy":[103,126],"generalization":[105],"varying":[107],"environments.":[108],"Extensive":[109],"simulations":[110],"real-world":[112],"testing":[113],"demonstrate":[114],"that":[115],"significantly":[117],"improves":[118],"performance":[120],"scenarios,":[123],"maintaining":[124],"high":[125],"efficiency":[128],"ensuring":[130],"security.":[134],"research":[136],"marks":[137],"a":[138],"pivotal":[139],"step":[140],"toward":[141],"safer":[142],"more":[144],"reliable":[145],"challenging":[149],"lighting":[150]},"counts_by_year":[],"updated_date":"2026-08-24T07:32:12.397491","created_date":"2024-10-16T00:00:00"}
