{"id":"https://openalex.org/W2566212712","doi":"https://doi.org/10.1109/itsc.2016.7795670","title":"Driver identification using automobile sensor data from a single turn","display_name":"Driver identification using automobile sensor data from a single turn","publication_year":2016,"publication_date":"2016-11-01","ids":{"openalex":"https://openalex.org/W2566212712","doi":"https://doi.org/10.1109/itsc.2016.7795670","mag":"2566212712"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2016.7795670","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2016.7795670","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1708.04636","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079356706","display_name":"David Hallac","orcid":"https://orcid.org/0000-0002-2145-2597"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Hallac","raw_affiliation_strings":["Stanford University","Stanford University, United States of America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]},{"raw_affiliation_string":"Stanford University, United States of America","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052186672","display_name":"Abhijit Sharang","orcid":null},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Abhijit Sharang","raw_affiliation_strings":["Stanford University","Stanford University, United States of America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]},{"raw_affiliation_string":"Stanford University, United States of America","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014042412","display_name":"R. Stahlmann","orcid":null},"institutions":[{"id":"https://openalex.org/I1322300227","display_name":"Audi (Germany)","ror":"https://ror.org/02aykj333","country_code":"DE","type":"company","lineage":["https://openalex.org/I1322300227"]},{"id":"https://openalex.org/I8659980","display_name":"Volkswagen Group (United States)","ror":"https://ror.org/034e5n787","country_code":"US","type":"company","lineage":["https://openalex.org/I1319473763","https://openalex.org/I8659980"]}],"countries":["DE","US"],"is_corresponding":false,"raw_author_name":"Rainer Stahlmann","raw_affiliation_strings":["Volkswagen Electronics Research Laboratory","AUDI AG, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Volkswagen Electronics Research Laboratory","institution_ids":["https://openalex.org/I8659980"]},{"raw_affiliation_string":"AUDI AG, Germany","institution_ids":["https://openalex.org/I1322300227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071340641","display_name":"Andreas Lamprecht","orcid":null},"institutions":[{"id":"https://openalex.org/I1322300227","display_name":"Audi (Germany)","ror":"https://ror.org/02aykj333","country_code":"DE","type":"company","lineage":["https://openalex.org/I1322300227"]},{"id":"https://openalex.org/I8659980","display_name":"Volkswagen Group (United States)","ror":"https://ror.org/034e5n787","country_code":"US","type":"company","lineage":["https://openalex.org/I1319473763","https://openalex.org/I8659980"]}],"countries":["DE","US"],"is_corresponding":false,"raw_author_name":"Andreas Lamprecht","raw_affiliation_strings":["Volkswagen Electronics Research Laboratory","AUDI AG, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Volkswagen Electronics Research Laboratory","institution_ids":["https://openalex.org/I8659980"]},{"raw_affiliation_string":"AUDI AG, Germany","institution_ids":["https://openalex.org/I1322300227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032121938","display_name":"Markus Huber","orcid":null},"institutions":[{"id":"https://openalex.org/I1319473763","display_name":"Volkswagen Group (Germany)","ror":"https://ror.org/01f3bhg26","country_code":"DE","type":"company","lineage":["https://openalex.org/I1319473763"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Markus Huber","raw_affiliation_strings":["Volkswagen Electronics Research Laboratory, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Volkswagen Electronics Research Laboratory, Germany","institution_ids":["https://openalex.org/I1319473763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080454983","display_name":"Martin Roehder","orcid":null},"institutions":[{"id":"https://openalex.org/I1319473763","display_name":"Volkswagen Group (Germany)","ror":"https://ror.org/01f3bhg26","country_code":"DE","type":"company","lineage":["https://openalex.org/I1319473763"]},{"id":"https://openalex.org/I8659980","display_name":"Volkswagen Group (United States)","ror":"https://ror.org/034e5n787","country_code":"US","type":"company","lineage":["https://openalex.org/I1319473763","https://openalex.org/I8659980"]}],"countries":["DE","US"],"is_corresponding":false,"raw_author_name":"Martin Roehder","raw_affiliation_strings":["Volkswagen Electronics Research Laboratory","Volkswagen Electronics Research Laboratory, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Volkswagen Electronics Research Laboratory","institution_ids":["https://openalex.org/I8659980"]},{"raw_affiliation_string":"Volkswagen Electronics Research Laboratory, Germany","institution_ids":["https://openalex.org/I1319473763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087005512","display_name":"Rok Sosi\u010d","orcid":"https://orcid.org/0000-0003-0723-9172"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rok Sosic","raw_affiliation_strings":["Stanford University","Stanford University, United States of America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]},{"raw_affiliation_string":"Stanford University, United States of America","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091272738","display_name":"Jure Leskovec","orcid":"https://orcid.org/0000-0002-5411-923X"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jure Leskovec","raw_affiliation_strings":["Stanford University","Stanford University, United States of America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]},{"raw_affiliation_string":"Stanford University, United States of America","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0522,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.82197535,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9991000294685364,"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":0.9991000294685364,"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":0.9980999827384949,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9972000122070312,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/automotive-industry","display_name":"Automotive industry","score":0.7312055230140686},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.636001706123352},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6110184788703918},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5426015257835388},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5202611684799194},{"id":"https://openalex.org/keywords/electronics","display_name":"Electronics","score":0.47416985034942627},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4532935321331024},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36432313919067383},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3415340483188629},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33143728971481323},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.26291561126708984},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.09111219644546509}],"concepts":[{"id":"https://openalex.org/C526921623","wikidata":"https://www.wikidata.org/wiki/Q190117","display_name":"Automotive industry","level":2,"score":0.7312055230140686},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.636001706123352},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6110184788703918},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5426015257835388},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5202611684799194},{"id":"https://openalex.org/C138331895","wikidata":"https://www.wikidata.org/wiki/Q11650","display_name":"Electronics","level":2,"score":0.47416985034942627},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4532935321331024},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36432313919067383},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3415340483188629},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33143728971481323},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.26291561126708984},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.09111219644546509},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/itsc.2016.7795670","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2016.7795670","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1708.04636","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1708.04636","pdf_url":"https://arxiv.org/pdf/1708.04636","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.1708.04636","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1708.04636","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"},{"id":"mag:2566212712","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1708.04636","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1708.04636","pdf_url":"https://arxiv.org/pdf/1708.04636","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.44999998807907104,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W2566212712.pdf"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W228380312","https://openalex.org/W1495816349","https://openalex.org/W1579066341","https://openalex.org/W1972441921","https://openalex.org/W1973948212","https://openalex.org/W1999873341","https://openalex.org/W2017372880","https://openalex.org/W2018690964","https://openalex.org/W2029809489","https://openalex.org/W2052653358","https://openalex.org/W2083863819","https://openalex.org/W2115973169","https://openalex.org/W2145961982","https://openalex.org/W2150000966","https://openalex.org/W2151373013","https://openalex.org/W2210119327","https://openalex.org/W3143942160","https://openalex.org/W4239510810","https://openalex.org/W6643601877","https://openalex.org/W6655104002","https://openalex.org/W6734105811"],"related_works":["https://openalex.org/W2963535483","https://openalex.org/W2963182155","https://openalex.org/W2955129302","https://openalex.org/W3039752569","https://openalex.org/W2809276296","https://openalex.org/W2763330871","https://openalex.org/W3114563362","https://openalex.org/W3171405338","https://openalex.org/W2971017585","https://openalex.org/W2986160079","https://openalex.org/W3155693755","https://openalex.org/W315192054","https://openalex.org/W2181496036","https://openalex.org/W2734699352","https://openalex.org/W2603236247","https://openalex.org/W2247345839","https://openalex.org/W2614267756","https://openalex.org/W2066339979","https://openalex.org/W2880690563","https://openalex.org/W2931162491"],"abstract_inverted_index":{"As":[0],"automotive":[1,153],"electronics":[2],"continue":[3],"to":[4,15,41,54,105,178],"advance,":[5],"cars":[6],"are":[7,22,115,167],"becoming":[8],"more":[9,11],"and":[10,24,31,140,199,205],"reliant":[12],"on":[13,121,160,183],"sensors":[14,21],"perform":[16],"everyday":[17],"driving":[18,112],"operations.":[19],"These":[20],"omnipresent":[23],"help":[25],"the":[26,44,64,78,118,184,191],"car":[27],"navigate,":[28],"reduce":[29],"accidents,":[30],"provide":[32],"comfortable":[33],"rides.":[34],"However,":[35],"they":[36],"can":[37],"also":[38],"be":[39],"used":[40],"learn":[42],"about":[43,209],"drivers":[45],"themselves.":[46],"In":[47],"this":[48],"paper,":[49],"we":[50,131],"propose":[51],"a":[52,61,67,71,103,123,133,145,213],"method":[53],"predict,":[55],"from":[56],"sensor":[57,90,158],"data":[58,119,154],"collected":[59,136],"at":[60,92],"single":[62],"turn,":[63,94],"identity":[65],"of":[66,70,74,82,147,215],"driver":[68,210],"out":[69],"given":[72],"set":[73],"individuals.":[75],"We":[76,101,163,180],"cast":[77],"problem":[79],"in":[80,109,117,190,212],"terms":[81],"time":[83],"series":[84],"classification,":[85],"where":[86,144],"our":[87,129],"dataset":[88,135],"contains":[89],"readings":[91,159],"one":[93],"repeated":[95],"several":[96],"times":[97],"by":[98,137],"multiple":[99],"drivers.":[100],"build":[102],"classifier":[104],"find":[106],"unique":[107],"patterns":[108],"each":[110],"individual's":[111],"style,":[113],"which":[114,193],"visible":[116],"even":[120],"such":[122],"short":[124],"road":[125],"segment.":[126],"To":[127],"test":[128,148],"approach,":[130],"analyze":[132],"new":[134],"AUDI":[138],"AG":[139],"Audi":[141],"Electronics":[142],"Venture,":[143],"fleet":[146],"vehicles":[149],"was":[150],"equipped":[151],"with":[152],"loggers":[155],"storing":[156],"all":[157],"real":[161],"roads.":[162],"show":[164],"that":[165],"turns":[166,189],"particularly":[168],"well-suited":[169],"for":[170],"detecting":[171],"variations":[172],"across":[173],"drivers,":[174],"especially":[175],"when":[176],"compared":[177],"straightaways.":[179],"then":[181],"focus":[182],"12":[185],"most":[186],"frequently":[187],"made":[188],"dataset,":[192],"include":[194],"rural,":[195],"urban,":[196],"highway":[197],"on-ramps,":[198],"more,":[200],"obtaining":[201],"accurate":[202],"identification":[203],"results":[204],"learning":[206],"useful":[207],"insights":[208],"behavior":[211],"variety":[214],"settings.":[216]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
