{"id":"https://openalex.org/W4399800795","doi":"https://doi.org/10.1109/tiv.2024.3416846","title":"FedPRM: Federated Personalized Mixture Representation for Driver Intention Prediction","display_name":"FedPRM: Federated Personalized Mixture Representation for Driver Intention Prediction","publication_year":2024,"publication_date":"2024-06-19","ids":{"openalex":"https://openalex.org/W4399800795","doi":"https://doi.org/10.1109/tiv.2024.3416846"},"language":"en","primary_location":{"id":"doi:10.1109/tiv.2024.3416846","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tiv.2024.3416846","pdf_url":null,"source":{"id":"https://openalex.org/S4210199657","display_name":"IEEE Transactions on Intelligent Vehicles","issn_l":"2379-8858","issn":["2379-8858","2379-8904"],"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 Intelligent Vehicles","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/A5088162760","display_name":"Zhongpan Zhu","orcid":"https://orcid.org/0000-0003-2385-6146"},"institutions":[{"id":"https://openalex.org/I148128674","display_name":"University of Shanghai for Science and Technology","ror":"https://ror.org/00ay9v204","country_code":"CN","type":"education","lineage":["https://openalex.org/I148128674"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhongpan Zhu","raw_affiliation_strings":["College of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"College of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I148128674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066159049","display_name":"Shuaijie Zhao","orcid":"https://orcid.org/0000-0002-4549-8952"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuaijie Zhao","raw_affiliation_strings":["School of Automotive Studies, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Automotive Studies, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5099243654","display_name":"Chuanchuan Chu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chuanchuan Chu","raw_affiliation_strings":["Department of ADAS, SenseAuto, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of ADAS, SenseAuto, Shanghai, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048439891","display_name":"C.H. Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I32062511","display_name":"Heriot-Watt University","ror":"https://ror.org/04mghma93","country_code":"GB","type":"education","lineage":["https://openalex.org/I32062511"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Cheng Wang","raw_affiliation_strings":["School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh, U.K","School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh, United Kingdom"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh, U.K","institution_ids":["https://openalex.org/I32062511"]},{"raw_affiliation_string":"School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh, United Kingdom","institution_ids":["https://openalex.org/I32062511"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047255318","display_name":"Aimin Du","orcid":"https://orcid.org/0000-0002-4196-7328"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aimin Du","raw_affiliation_strings":["School of Automotive Studies, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Automotive Studies, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053221285","display_name":"Bin He","orcid":null},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin He","raw_affiliation_strings":["Frontiers Science Center for Intelligent Autonomous Systems, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Frontiers Science Center for Intelligent Autonomous Systems, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5088162760"],"corresponding_institution_ids":["https://openalex.org/I148128674"],"apc_list":null,"apc_paid":null,"fwci":1.5001,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.81914552,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"10","issue":"1","first_page":"627","last_page":"640"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9214000105857849,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9214000105857849,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9063000082969666,"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/representation","display_name":"Representation (politics)","score":0.677664041519165},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5975647568702698},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.38104748725891113},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.326924592256546},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.11963623762130737}],"concepts":[{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.677664041519165},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5975647568702698},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.38104748725891113},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.326924592256546},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.11963623762130737},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"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:10.1109/tiv.2024.3416846","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tiv.2024.3416846","pdf_url":null,"source":{"id":"https://openalex.org/S4210199657","display_name":"IEEE Transactions on Intelligent Vehicles","issn_l":"2379-8858","issn":["2379-8858","2379-8904"],"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 Intelligent Vehicles","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2575069074","display_name":null,"funder_award_id":"62088101","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G278545510","display_name":null,"funder_award_id":"52002286","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8465003870","display_name":null,"funder_award_id":"22120220642","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1789187189","https://openalex.org/W2104806250","https://openalex.org/W2108785746","https://openalex.org/W2146404773","https://openalex.org/W2151226872","https://openalex.org/W2162508706","https://openalex.org/W2526085503","https://openalex.org/W2572377564","https://openalex.org/W2620407671","https://openalex.org/W2739970253","https://openalex.org/W2741066535","https://openalex.org/W2750939671","https://openalex.org/W2766237839","https://openalex.org/W2916321744","https://openalex.org/W2922458387","https://openalex.org/W2963692464","https://openalex.org/W2964344294","https://openalex.org/W2970069713","https://openalex.org/W2990783677","https://openalex.org/W3008924669","https://openalex.org/W3019688365","https://openalex.org/W3080934299","https://openalex.org/W3107164117","https://openalex.org/W3107668387","https://openalex.org/W3112044954","https://openalex.org/W3117025268","https://openalex.org/W3163257372","https://openalex.org/W3200219902","https://openalex.org/W3200318570","https://openalex.org/W3211910497","https://openalex.org/W3216996634","https://openalex.org/W4206320562","https://openalex.org/W4225147796","https://openalex.org/W4287332481","https://openalex.org/W4292828967","https://openalex.org/W4313459230","https://openalex.org/W4313555044","https://openalex.org/W4318344247","https://openalex.org/W4319663591","https://openalex.org/W4365512373","https://openalex.org/W4366773940","https://openalex.org/W4367280918","https://openalex.org/W4376851165","https://openalex.org/W4377710503","https://openalex.org/W4382463479","https://openalex.org/W4385245566","https://openalex.org/W4385325724","https://openalex.org/W4385815544","https://openalex.org/W4386465411","https://openalex.org/W4387105517","https://openalex.org/W4388666567","https://openalex.org/W4390481633","https://openalex.org/W4391564355","https://openalex.org/W4391770362","https://openalex.org/W4392397363"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"Driver":[0],"intention":[1,30,73,177],"prediction":[2,31,74],"has":[3,56],"the":[4,9,45,48,77,84,97,112,129,142,164,169],"potential":[5],"to":[6,15,76,110,122,128,175],"greatly":[7],"improve":[8],"ability":[10],"of":[11,47,50,79,88,114,133,148,155],"autonomous":[12],"vehicles":[13],"(AVs)":[14],"effectively":[16,167],"handle":[17],"risky":[18],"driving":[19,23],"behaviors,":[20],"thereby":[21],"ensuring":[22],"safety.":[24],"Conventional":[25],"data-driven":[26],"approaches":[27],"for":[28,105],"driver":[29,72,80,107,135,176],"models":[32],"typically":[33],"involve":[34],"gathering":[35],"extensive":[36,139],"driver-related":[37],"data,":[38],"which":[39],"raises":[40],"significant":[41],"privacy":[42],"concerns.":[43],"With":[44],"development":[46],"Internet":[49],"Vehicles":[51],"(IoV),":[52],"federated":[53],"learning":[54,62],"(FL)":[55],"emerged":[57],"as":[58],"a":[59,101,124,151],"prominent":[60],"privacy-preserving":[61],"paradigm,":[63],"garnering":[64],"considerable":[65],"attention.":[66],"However,":[67],"FL":[68,174],"encounters":[69],"challenges":[70,170],"in":[71],"due":[75],"heterogeneity":[78],"client":[81],"data":[82,115,131],"and":[83,150],"limited":[85],"computational":[86],"resources":[87],"vehicles.":[89],"To":[90],"address":[91],"these":[92],"challenges,":[93],"this":[94],"paper":[95],"proposes":[96],"FedPMR":[98,166],"framework,":[99],"comprising":[100],"computationally":[102],"efficient":[103],"model":[104,126],"predicting":[106],"intentions.":[108],"Moreover,":[109],"tackle":[111],"problem":[113],"heterogeneity,":[116],"it":[117],"leverages":[118],"personalized":[119,125],"mixture":[120],"representation":[121],"provide":[123],"adapted":[127],"local":[130],"distribution":[132],"each":[134],"client.":[136],"We":[137],"conducted":[138],"experiments":[140],"on":[141],"Brain4Cars":[143],"dataset,":[144],"achieving":[145],"an":[146],"F1-score":[147],"95.24%":[149],"comprehensive":[152],"evaluation":[153],"metric":[154],"0.9663,":[156],"exceeding":[157],"state-of-the-art.":[158],"The":[159],"experimental":[160],"results":[161],"demonstrate":[162],"that":[163],"proposed":[165],"addresses":[168],"encountered":[171],"when":[172],"applying":[173],"prediction.":[178]},"counts_by_year":[{"year":2025,"cited_by_count":4}],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}