{"id":"https://openalex.org/W2990462725","doi":"https://doi.org/10.1109/itsc.2019.8917489","title":"Classifying Human Behaviors: Improving Training of Conventional Algorithms","display_name":"Classifying Human Behaviors: Improving Training of Conventional Algorithms","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2990462725","doi":"https://doi.org/10.1109/itsc.2019.8917489","mag":"2990462725"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2019.8917489","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2019.8917489","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Intelligent Transportation Systems Conference (ITSC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5069737145","display_name":"Qi Deng","orcid":"https://orcid.org/0000-0001-8873-5324"},"institutions":[{"id":"https://openalex.org/I62318514","display_name":"University of Duisburg-Essen","ror":"https://ror.org/04mz5ra38","country_code":"DE","type":"education","lineage":["https://openalex.org/I62318514"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Qi Deng","raw_affiliation_strings":["Chair of Dynamics and Control, University of Duisburg-Essen, Duisburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chair of Dynamics and Control, University of Duisburg-Essen, Duisburg, Germany","institution_ids":["https://openalex.org/I62318514"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113663613","display_name":"Dirk S\u00f6ffker","orcid":null},"institutions":[{"id":"https://openalex.org/I62318514","display_name":"University of Duisburg-Essen","ror":"https://ror.org/04mz5ra38","country_code":"DE","type":"education","lineage":["https://openalex.org/I62318514"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Dirk Soffker","raw_affiliation_strings":["Chair of Dynamics and Control, University of Duisburg-Essen, Duisburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chair of Dynamics and Control, University of Duisburg-Essen, Duisburg, Germany","institution_ids":["https://openalex.org/I62318514"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I62318514"],"apc_list":null,"apc_paid":null,"fwci":2.2691,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.88045136,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"45","issue":null,"first_page":"1060","last_page":"1065"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10370","display_name":"Traffic and Road Safety","score":0.9991000294685364,"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":0.9991000294685364,"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":0.9886999726295471,"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/computer-science","display_name":"Computer science","score":0.7440406084060669},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.6453897356987},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6146065592765808},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5900790095329285},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.561377763748169},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5312022566795349},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.51556396484375},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.512454092502594},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5097598433494568},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.4827934503555298},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4799637794494629},{"id":"https://openalex.org/keywords/alarm","display_name":"ALARM","score":0.42173880338668823},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4191800355911255},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39707323908805847},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1362650990486145}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7440406084060669},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.6453897356987},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6146065592765808},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5900790095329285},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.561377763748169},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5312022566795349},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.51556396484375},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.512454092502594},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5097598433494568},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.4827934503555298},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4799637794494629},{"id":"https://openalex.org/C2779119184","wikidata":"https://www.wikidata.org/wiki/Q294350","display_name":"ALARM","level":2,"score":0.42173880338668823},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4191800355911255},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39707323908805847},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1362650990486145},{"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/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/itsc.2019.8917489","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2019.8917489","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Intelligent Transportation Systems Conference (ITSC)","raw_type":"proceedings-article"},{"id":"pmh:oai:bibliographie.ub.uni-due.de:ubo_mods_00143667","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ITSC.2019.8917489","pdf_url":null,"source":{"id":"https://openalex.org/S7407055102","display_name":"Universit\u00e4tsbibliographie, Universit\u00e4t Duisburg-Essen","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W8756164","https://openalex.org/W1528140509","https://openalex.org/W1560724230","https://openalex.org/W1652644688","https://openalex.org/W1797580880","https://openalex.org/W1980399291","https://openalex.org/W2012849708","https://openalex.org/W2022189869","https://openalex.org/W2061701011","https://openalex.org/W2114516948","https://openalex.org/W2119821739","https://openalex.org/W2125838338","https://openalex.org/W2126105956","https://openalex.org/W2525884872","https://openalex.org/W2556405044","https://openalex.org/W2606087044","https://openalex.org/W2625986027","https://openalex.org/W2870729264","https://openalex.org/W2896554943","https://openalex.org/W2896729963","https://openalex.org/W2911964244","https://openalex.org/W2912934387","https://openalex.org/W3144619878","https://openalex.org/W4239510810","https://openalex.org/W4301971222"],"related_works":["https://openalex.org/W1584123598","https://openalex.org/W2731305060","https://openalex.org/W4200112873","https://openalex.org/W2955796858","https://openalex.org/W4224941037","https://openalex.org/W2004826645","https://openalex.org/W3135818052","https://openalex.org/W2357114597","https://openalex.org/W2115416187","https://openalex.org/W114581555"],"abstract_inverted_index":{"Research":[0],"and":[1,71,90,105,112,135],"development":[2,26],"of":[3,27,61,126,163,188],"human":[4,13],"driving":[5,119],"behavior":[6,14],"prediction":[7,124,186],"is":[8,55],"a":[9,50,115],"typical":[10],"topic":[11],"for":[12,52],"recognition":[15],"in":[16,24],"cognitive":[17],"systems,":[18],"which":[19,41,132],"plays":[20],"an":[21],"important":[22],"role":[23],"the":[25,59,62,68,123,127,146,150,161,164,185,189,196],"Advanced":[28],"Driver":[29],"Assistance":[30],"Systems":[31],"(ADAS).":[32],"Routines":[33],"used":[34,95],"are":[35,94,108,133,143,177],"based":[36],"on":[37,114,167],"machine":[38],"learning":[39],"algorithms,":[40],"have":[42],"to":[43,57,67,137,159],"be":[44,138,156,193],"trained":[45],"first.":[46],"In":[47],"this":[48],"contribution,":[49],"strategy":[51],"improved":[53,175,194],"training":[54,63,148,199],"developed":[56],"increase":[58],"reliability":[60],"process":[64],"with":[65],"respect":[66],"relevant":[69],"detection":[70],"fault":[72],"alarm":[73],"parameters.":[74],"Four":[75],"algorithms":[76,191],"like":[77],"Support":[78],"Vector":[79],"Machines":[80],"(SVM),":[81],"Hidden":[82],"Markov":[83],"Models":[84],"(HMM),":[85],"Artificial":[86],"Neural":[87],"Networks":[88],"(ANN),":[89],"Random":[91],"Forest":[92],"(RF)":[93],"as":[96,110],"examples.":[97],"Three":[98],"lane":[99,103,106],"changing":[100],"behaviors":[101],"(left/right":[102],"change":[104],"keeping)":[107],"modeled":[109],"classifications,":[111],"simulated":[113],"highway":[116],"scene":[117],"using":[118,195],"simulator.":[120],"To":[121],"improve":[122],"performance":[125,162,187],"related":[128],"models,":[129],"design":[130,153],"parameters,":[131],"unknown":[134],"need":[136],"set":[139],"manually":[140],"before":[141],"training,":[142],"modified.":[144],"Using":[145],"proposed":[147,197],"procedure":[149],"most":[151],"suitable":[152],"parameters":[154],"can":[155,192],"determined":[157],"automatically":[158],"optimize":[160],"algorithms.":[165],"Based":[166],"data":[168],"achieved":[169],"from":[170],"7":[171],"different":[172],"drivers":[173],"four":[174,190],"models":[176],"validated.":[178],"The":[179],"finally":[180],"obtained":[181],"results":[182],"show":[183],"that":[184],"optimized":[198],"procedure.":[200]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}