{"id":"https://openalex.org/W4392904344","doi":"https://doi.org/10.1109/tvt.2024.3378182","title":"Multi-Modal Data and Model Reduction for Enabling Edge Fusion in Connected Vehicle Environments","display_name":"Multi-Modal Data and Model Reduction for Enabling Edge Fusion in Connected Vehicle Environments","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392904344","doi":"https://doi.org/10.1109/tvt.2024.3378182"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2024.3378182","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2024.3378182","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Vehicular Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://escholarship.org/content/qt1jc3b6jc/qt1jc3b6jc.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005712985","display_name":"Samuel Thornton","orcid":"https://orcid.org/0000-0002-3087-2577"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Samuel Thornton","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, USA","department of Electrical and Computer Engineering and the Center for Wireless Communications, University of California San Diego, USA"],"raw_orcid":"https://orcid.org/0000-0002-3087-2577","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, USA","institution_ids":["https://openalex.org/I36258959"]},{"raw_affiliation_string":"department of Electrical and Computer Engineering and the Center for Wireless Communications, University of California San Diego, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5105369696","display_name":"Sujit Dey","orcid":"https://orcid.org/0000-0001-9671-3950"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sujit Dey","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, USA","department of Electrical and Computer Engineering and the Center for Wireless Communications, University of California San Diego, USA"],"raw_orcid":"https://orcid.org/0000-0001-9671-3950","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, USA","institution_ids":["https://openalex.org/I36258959"]},{"raw_affiliation_string":"department of Electrical and Computer Engineering and the Center for Wireless Communications, University of California San Diego, USA","institution_ids":["https://openalex.org/I36258959"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2426,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.77179714,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"73","issue":"8","first_page":"11979","last_page":"11994"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9980000257492065,"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"}},"topics":[{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9980000257492065,"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":0.9912999868392944,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/reduction","display_name":"Reduction (mathematics)","score":0.6349275708198547},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5714377760887146},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.5573465824127197},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5205724835395813},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4935115575790405},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43986600637435913},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.3761517107486725},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.345145583152771},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.23073962330818176},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20782622694969177},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.15877410769462585},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1304849088191986}],"concepts":[{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.6349275708198547},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5714377760887146},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.5573465824127197},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5205724835395813},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4935115575790405},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43986600637435913},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3761517107486725},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.345145583152771},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.23073962330818176},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20782622694969177},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.15877410769462585},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1304849088191986},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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":3,"locations":[{"id":"doi:10.1109/tvt.2024.3378182","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2024.3378182","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Vehicular Technology","raw_type":"journal-article"},{"id":"pmh:oai:escholarship.org:ark:/13030/qt1jc3b6jc","is_oa":true,"landing_page_url":"https://escholarship.org/uc/item/1jc3b6jc","pdf_url":"https://escholarship.org/content/qt1jc3b6jc/qt1jc3b6jc.pdf","source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Vehicular Technology, vol 73, iss 8","raw_type":"article"},{"id":"pmh:ark:/13030/qt1jc3b6jc","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:escholarship.org:ark:/13030/qt1jc3b6jc","is_oa":true,"landing_page_url":"https://escholarship.org/uc/item/1jc3b6jc","pdf_url":"https://escholarship.org/content/qt1jc3b6jc/qt1jc3b6jc.pdf","source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Vehicular Technology, vol 73, iss 8","raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392904344.pdf","grobid_xml":"https://content.openalex.org/works/W4392904344.grobid-xml"},"referenced_works_count":83,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1677409904","https://openalex.org/W1821462560","https://openalex.org/W1973066300","https://openalex.org/W2027922120","https://openalex.org/W2036989445","https://openalex.org/W2044097773","https://openalex.org/W2089181482","https://openalex.org/W2097018403","https://openalex.org/W2110158442","https://openalex.org/W2115763357","https://openalex.org/W2126326837","https://openalex.org/W2128154306","https://openalex.org/W2129305389","https://openalex.org/W2145456321","https://openalex.org/W2151103935","https://openalex.org/W2162915993","https://openalex.org/W2168356304","https://openalex.org/W2188028980","https://openalex.org/W2194775991","https://openalex.org/W2295528854","https://openalex.org/W2622826443","https://openalex.org/W2777186991","https://openalex.org/W2783538964","https://openalex.org/W2785562966","https://openalex.org/W2803903883","https://openalex.org/W2884367402","https://openalex.org/W2886579803","https://openalex.org/W2891201238","https://openalex.org/W2911964244","https://openalex.org/W2916889275","https://openalex.org/W2939411050","https://openalex.org/W2943515156","https://openalex.org/W2962677625","https://openalex.org/W2964221923","https://openalex.org/W2980856918","https://openalex.org/W2982083293","https://openalex.org/W3005620403","https://openalex.org/W3007578538","https://openalex.org/W3008052774","https://openalex.org/W3012561096","https://openalex.org/W3017194848","https://openalex.org/W3026658694","https://openalex.org/W3035788210","https://openalex.org/W3036394006","https://openalex.org/W3045049179","https://openalex.org/W3081605498","https://openalex.org/W3096646121","https://openalex.org/W3098774053","https://openalex.org/W3103179390","https://openalex.org/W3109991383","https://openalex.org/W3128655704","https://openalex.org/W3132455321","https://openalex.org/W3133149219","https://openalex.org/W3159767275","https://openalex.org/W3178544809","https://openalex.org/W3202294484","https://openalex.org/W3206568047","https://openalex.org/W3211003315","https://openalex.org/W3212045733","https://openalex.org/W4210387249","https://openalex.org/W4213436958","https://openalex.org/W4214755140","https://openalex.org/W4246193833","https://openalex.org/W4283028672","https://openalex.org/W4293057440","https://openalex.org/W4293071398","https://openalex.org/W4309592030","https://openalex.org/W4311728943","https://openalex.org/W4312238141","https://openalex.org/W4312837350","https://openalex.org/W4319597842","https://openalex.org/W4386634496","https://openalex.org/W6631190155","https://openalex.org/W6638523607","https://openalex.org/W6684191040","https://openalex.org/W6685891324","https://openalex.org/W6687483927","https://openalex.org/W6732866452","https://openalex.org/W6745609711","https://openalex.org/W6745935785","https://openalex.org/W6757036269","https://openalex.org/W6893711219"],"related_works":["https://openalex.org/W2379392295","https://openalex.org/W3160965418","https://openalex.org/W613940353","https://openalex.org/W2532234348","https://openalex.org/W2320915480","https://openalex.org/W2099421762","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2152662039"],"abstract_inverted_index":{"The":[0],"emergence":[1],"of":[2,74,82,93,102,151,196,202],"edge":[3,27,75],"computing":[4,28,119,205],"in":[5,13,31,194],"Intelligent":[6],"Transportation":[7],"Systems":[8],"(ITS)":[9],"has":[10],"shown":[11],"promise":[12],"enabling":[14],"real-time":[15],"sensor":[16,44,84,144],"fusion":[17,145,171],"applications.":[18],"In":[19],"this":[20],"paper,":[21],"we":[22,123],"explore":[23],"how":[24],"to":[25,29,49,78,107,142,149],"utilize":[26],"aid":[30],"collaborative":[32,65],"vehicular":[33],"perception,":[34],"an":[35],"emerging":[36],"topic":[37],"within":[38],"ITS":[39],"which":[40,166],"involves":[41],"vehicles":[42],"sharing":[43],"data":[45,85,94,137],"with":[46,71,136],"one":[47],"another":[48],"extend":[50],"each":[51],"vehicle's":[52],"perception":[53,66],"beyond":[54],"what":[55],"its":[56],"individual":[57],"sensors":[58],"can":[59,185],"see.":[60],"However,":[61],"achieving":[62],"real":[63],"time":[64],"is":[67],"a":[68,126,157],"challenge":[69],"even":[70],"the":[72,79,91,100,113,187],"utilization":[73],"computing;":[76],"due":[77],"large":[80],"amount":[81,92],"multi-modal":[83],"produced":[86],"by":[87,191],"modern":[88],"intelligent":[89],"vehicles,":[90],"transmitted":[95],"over":[96,198],"wireless":[97,114],"channels":[98],"and":[99,117,139,170,173,204],"complexity":[101],"computational":[103],"tasks":[104],"will":[105],"need":[106],"be":[108],"managed":[109],"dynamically":[110],"based":[111,180],"on":[112],"network":[115,179,203],"conditions":[116],"available":[118],"resources.":[120],"As":[121],"such":[122],"propose":[124],"REFO,":[125],"Real-time":[127],"Edge":[128],"Fusion":[129],"Optimization":[130],"method":[131],"that":[132,175],"combines":[133],"task":[134],"partitioning":[135],"reduction":[138],"model":[140],"compression":[141],"maximize":[143],"accuracy":[146],"while":[147],"adhering":[148],"Quality":[150],"Service":[152],"(QoS)":[153],"requirements.":[154],"We":[155],"define":[156],"performance":[158],"metric":[159],"termed":[160],"effective":[161],"mean":[162],"average":[163],"precision":[164],"(EmAP),":[165],"incorporates":[167],"both":[168],"QoS":[169],"accuracy,":[172],"show":[174],"our":[176],"proposed":[177],"neural":[178],"REFO":[181],"action":[182],"decision":[183],"framework":[184],"outperform":[186],"best":[188],"comparison":[189],"models":[190],"approximately":[192],"10%":[193],"terms":[195],"EmAP":[197],"18":[199],"test":[200],"combinations":[201],"conditions.":[206]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
