{"id":"https://openalex.org/W2970581417","doi":"https://doi.org/10.1109/ivs.2019.8814061","title":"Fitting Cornering Speed Models with One-Class Support Vector Machines","display_name":"Fitting Cornering Speed Models with One-Class Support Vector Machines","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2970581417","doi":"https://doi.org/10.1109/ivs.2019.8814061","mag":"2970581417"},"language":"en","primary_location":{"id":"doi:10.1109/ivs.2019.8814061","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2019.8814061","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Intelligent Vehicles Symposium (IV)","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/A5057680972","display_name":"James Fleming","orcid":"https://orcid.org/0000-0003-2936-4644"},"institutions":[{"id":"https://openalex.org/I43439940","display_name":"University of Southampton","ror":"https://ror.org/01ryk1543","country_code":"GB","type":"education","lineage":["https://openalex.org/I43439940"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"James M. Fleming","raw_affiliation_strings":["University of Southampton, UK"],"affiliations":[{"raw_affiliation_string":"University of Southampton, UK","institution_ids":["https://openalex.org/I43439940"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028850791","display_name":"Xingda Yan","orcid":"https://orcid.org/0000-0002-1257-9908"},"institutions":[{"id":"https://openalex.org/I43439940","display_name":"University of Southampton","ror":"https://ror.org/01ryk1543","country_code":"GB","type":"education","lineage":["https://openalex.org/I43439940"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Xingda Yan","raw_affiliation_strings":["University of Southampton, UK"],"affiliations":[{"raw_affiliation_string":"University of Southampton, UK","institution_ids":["https://openalex.org/I43439940"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112724241","display_name":"Roberto Lot","orcid":null},"institutions":[{"id":"https://openalex.org/I43439940","display_name":"University of Southampton","ror":"https://ror.org/01ryk1543","country_code":"GB","type":"education","lineage":["https://openalex.org/I43439940"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Roberto Lot","raw_affiliation_strings":["University of Southampton, UK"],"affiliations":[{"raw_affiliation_string":"University of Southampton, UK","institution_ids":["https://openalex.org/I43439940"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5057680972"],"corresponding_institution_ids":["https://openalex.org/I43439940"],"apc_list":null,"apc_paid":null,"fwci":0.443,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.65158172,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2457","last_page":"2462"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10370","display_name":"Traffic and Road Safety","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T10370","display_name":"Traffic and Road Safety","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9973000288009644,"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/support-vector-machine","display_name":"Support vector machine","score":0.8400298357009888},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6594719886779785},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6245020031929016},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.5044337511062622},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49093201756477356},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4830649495124817},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4471486210823059},{"id":"https://openalex.org/keywords/radial-basis-function","display_name":"Radial basis function","score":0.43922510743141174},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.33896249532699585},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.21032264828681946},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15758764743804932}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8400298357009888},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6594719886779785},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6245020031929016},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.5044337511062622},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49093201756477356},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4830649495124817},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4471486210823059},{"id":"https://openalex.org/C98856871","wikidata":"https://www.wikidata.org/wiki/Q1588488","display_name":"Radial basis function","level":3,"score":0.43922510743141174},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.33896249532699585},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.21032264828681946},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15758764743804932},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ivs.2019.8814061","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2019.8814061","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"},{"id":"pmh:oai:www.research.unipd.it:11577/3322477","is_oa":false,"landing_page_url":"http://hdl.handle.net/11577/3322477","pdf_url":null,"source":{"id":"https://openalex.org/S4306402547","display_name":"Padua Research Archive (University of Padova)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I138689650","host_organization_name":"University of Padua","host_organization_lineage":["https://openalex.org/I138689650"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2334342458","display_name":null,"funder_award_id":"EP/N022262/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1520377690","https://openalex.org/W1526937684","https://openalex.org/W1912546547","https://openalex.org/W1917491357","https://openalex.org/W1965455100","https://openalex.org/W1996243426","https://openalex.org/W2055827788","https://openalex.org/W2058917688","https://openalex.org/W2110819050","https://openalex.org/W2117648507","https://openalex.org/W2120925472","https://openalex.org/W2126270075","https://openalex.org/W2131342889","https://openalex.org/W2132870739","https://openalex.org/W2149757894","https://openalex.org/W2161435222","https://openalex.org/W2275540968","https://openalex.org/W2785779568","https://openalex.org/W2888883372","https://openalex.org/W2910516129","https://openalex.org/W4300039440","https://openalex.org/W6631510690","https://openalex.org/W6694528850","https://openalex.org/W6747879768"],"related_works":["https://openalex.org/W3006513224","https://openalex.org/W2046456988","https://openalex.org/W2090763504","https://openalex.org/W2357409937","https://openalex.org/W2510582230","https://openalex.org/W2978674666","https://openalex.org/W2074430941","https://openalex.org/W2565094479","https://openalex.org/W2113096305","https://openalex.org/W1977636359"],"abstract_inverted_index":{"This":[0],"paper":[1],"investigates":[2],"the":[3,37,55,59,69,82,128,131,139,158],"modelling":[4,39,83],"of":[5,17,54,58,71,74,84,120,130,154,188],"cornering":[6,78,85,109,132,155],"speed":[7,86,133,156],"using":[8,96,116],"road":[9],"curvature":[10],"as":[11,87],"a":[12,113,117,124,144,186],"predictive":[13],"variable,":[14],"which":[15,92],"is":[16],"interest":[18],"for":[19,151,192],"advanced":[20],"driver":[21,38],"assistance":[22,28,197],"system":[23],"(ADAS)":[24],"applications":[25],"including":[26],"eco-driving":[27,196],"and":[29,40,77,147],"curve":[30],"warning.":[31],"Such":[32],"models":[33],"are":[34],"common":[35],"in":[36,123,194],"human":[41],"factors":[42],"literature,":[43],"yet":[44],"lack":[45],"reliable":[46],"parameter":[47],"estimation":[48],"methods,":[49],"requiring":[50],"an":[51,88,107],"ad-hoc":[52],"evaluation":[53],"upper":[56],"envelope":[57],"data":[60],"followed":[61],"by":[62,185],"linear":[63],"regression":[64],"to":[65,170],"that":[66,199],"envelope.":[67],"Considering":[68],"space":[70],"possible":[72],"combinations":[73],"lateral":[75],"acceleration":[76],"speed,":[79],"we":[80,111],"cast":[81],"`outlier":[89],"detection'":[90],"problem":[91],"may":[93,135],"be":[94,136],"solved":[95],"one-class":[97,125],"Support":[98],"Vector":[99],"Machine":[100],"(SVM)":[101],"methods":[102,173],"from":[103,138],"machine":[104],"learning.":[105],"For":[106],"existing":[108,159],"model,":[110],"suggest":[112],"fitting":[114,149],"method":[115,150],"specific":[118],"choice":[119],"kernel":[121],"function":[122],"SVM.":[126],"As":[127],"parameters":[129],"model":[134,153],"recovered":[137],"SVM":[140,172],"solution,":[141],"this":[142,152,164],"provides":[143],"more":[145],"robust":[146],"reproducible":[148],"than":[157],"envelope-based":[160],"approaches.":[161],"In":[162],"addition,":[163],"gives":[165],"comparable":[166],"outlier":[167],"detection":[168],"performance":[169],"generic":[171],"based":[174],"on":[175],"Radial":[176],"Basis":[177],"Function":[178],"(RBF)":[179],"kernels":[180],"while":[181],"reducing":[182],"training":[183],"times":[184],"factor":[187],"10,":[189],"indicating":[190],"potential":[191],"use":[193],"adaptive":[195],"systems":[198],"require":[200],"retraining":[201],"either":[202],"online":[203],"or":[204],"between":[205],"drives.":[206]},"counts_by_year":[{"year":2020,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2019-09-05T00:00:00"}