{"id":"https://openalex.org/W2102154298","doi":"https://doi.org/10.1109/cdc.2005.1582970","title":"Modeling and Recognition of Human Driving Behavior based on Stochastic Switched ARX model","display_name":"Modeling and Recognition of Human Driving Behavior based on Stochastic Switched ARX model","publication_year":2006,"publication_date":"2006-10-04","ids":{"openalex":"https://openalex.org/W2102154298","doi":"https://doi.org/10.1109/cdc.2005.1582970","mag":"2102154298"},"language":"en","primary_location":{"id":"doi:10.1109/cdc.2005.1582970","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2005.1582970","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 44th IEEE Conference on Decision and Control","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/A5079754847","display_name":"Tatsuya Suzuki","orcid":"https://orcid.org/0000-0002-0182-308X"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"T. Suzuki","raw_affiliation_strings":["Department of Mechanical Science and Engineering Graduate School of Engineering, University of Nagoya, Nagoya, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Science and Engineering Graduate School of Engineering, University of Nagoya, Nagoya, Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087534659","display_name":"Shogo SEKIZAWA","orcid":null},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"S. Sekizawa","raw_affiliation_strings":["Department of Mechanical Science and Engineering Graduate School of Engineering, University of Nagoya, Nagoya, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Science and Engineering Graduate School of Engineering, University of Nagoya, Nagoya, Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075659554","display_name":"Shinkichi Inagaki","orcid":"https://orcid.org/0000-0003-0850-0854"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"S. Inagaki","raw_affiliation_strings":["Department of Mechanical Science and Engineering Graduate School of Engineering, University of Nagoya, Nagoya, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Science and Engineering Graduate School of Engineering, University of Nagoya, Nagoya, Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110599192","display_name":"S. Hayakawa","orcid":null},"institutions":[{"id":"https://openalex.org/I4840577","display_name":"Toyota Technological Institute","ror":"https://ror.org/001hv0k59","country_code":"JP","type":"education","lineage":["https://openalex.org/I4840577"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"S. Hayakawa","raw_affiliation_strings":["Toyota Technological Institute, Nagoya, Japan"],"affiliations":[{"raw_affiliation_string":"Toyota Technological Institute, Nagoya, Japan","institution_ids":["https://openalex.org/I4840577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044223387","display_name":"Nuio Tsuchida","orcid":null},"institutions":[{"id":"https://openalex.org/I4840577","display_name":"Toyota Technological Institute","ror":"https://ror.org/001hv0k59","country_code":"JP","type":"education","lineage":["https://openalex.org/I4840577"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"N. Tsuchida","raw_affiliation_strings":["Toyota Technological Institute, Nagoya, Japan"],"affiliations":[{"raw_affiliation_string":"Toyota Technological Institute, Nagoya, Japan","institution_ids":["https://openalex.org/I4840577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085538188","display_name":"Taishi TSUDA","orcid":null},"institutions":[{"id":"https://openalex.org/I4210137853","display_name":"Toyota Motor Corporation (Japan)","ror":"https://ror.org/02zqm6r10","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210125472","https://openalex.org/I4210137853"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"T. Tsuda","raw_affiliation_strings":["Toyota Motor Corporation, Japan"],"affiliations":[{"raw_affiliation_string":"Toyota Motor Corporation, Japan","institution_ids":["https://openalex.org/I4210137853"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013902658","display_name":"H. Fujinami","orcid":null},"institutions":[{"id":"https://openalex.org/I4210137853","display_name":"Toyota Motor Corporation (Japan)","ror":"https://ror.org/02zqm6r10","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210125472","https://openalex.org/I4210137853"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"H. Fujinami","raw_affiliation_strings":["Toyota Motor Corporation, Japan"],"affiliations":[{"raw_affiliation_string":"Toyota Motor Corporation, Japan","institution_ids":["https://openalex.org/I4210137853"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5079754847"],"corresponding_institution_ids":["https://openalex.org/I60134161"],"apc_list":null,"apc_paid":null,"fwci":5.4579,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.95192924,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"5095","last_page":"5100"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T11236","display_name":"Control Systems and Identification","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10876","display_name":"Fault Detection and Control Systems","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10320","display_name":"Neural Networks and Applications","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/computer-science","display_name":"Computer science","score":0.5689494013786316},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4192875325679779},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3455071449279785},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28707852959632874}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5689494013786316},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4192875325679779},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3455071449279785},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28707852959632874},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc.2005.1582970","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2005.1582970","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 44th IEEE Conference on Decision and Control","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1511193753","https://openalex.org/W1535818459","https://openalex.org/W1977334715","https://openalex.org/W2007093507","https://openalex.org/W2027094820","https://openalex.org/W2040135606","https://openalex.org/W2080400978","https://openalex.org/W2086461263","https://openalex.org/W2089253351","https://openalex.org/W2093092271","https://openalex.org/W2109095403","https://openalex.org/W2119461561","https://openalex.org/W2125838338","https://openalex.org/W2138484437","https://openalex.org/W2153639503","https://openalex.org/W2166070098","https://openalex.org/W2258033839","https://openalex.org/W2275437955","https://openalex.org/W4239147550"],"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/W4402327032","https://openalex.org/W2382290278"],"abstract_inverted_index":{"This":[0,46],"paper":[1],"presents":[2],"a":[3],"development":[4],"of":[5,8,104,111,125],"the":[6,9,15,25,31,36,43,52,63,70,89,102,105,109,114,121,126,130],"modeling":[7],"human":[10],"driving":[11,72,80,83,91],"behavior":[12,131],"based":[13,41,93],"on":[14,24,42,94],"expression":[16],"as":[17,113,129],"Stochastic":[18],"Switched":[19],"ARX":[20],"model":[21,38,107,128],"(SS-ARX)":[22],"focusing":[23],"driver\u2019s":[26],"collision":[27],"avoidance":[28],"behavior.":[29],"First,":[30],"parameter":[32,53,64,76],"estimation":[33,54,65],"technique":[34,55,66],"for":[35,56,78],"SS-ARX":[37,106,127],"is":[39,67,116],"introduced":[40],"EM":[44],"algorithm.":[45],"can":[47],"be":[48],"achieved":[49],"by":[50,87],"extending":[51],"conventional":[57],"Hidden":[58],"Markov":[59],"Model":[60],"(HMM).":[61],"Second,":[62],"applied":[68],"to":[69],"collected":[71,86],"data,":[73],"and":[74],"find":[75],"set":[77],"each":[79],"data.":[81],"The":[82,118],"data":[84],"are":[85],"using":[88,112],"three-dimensional":[90],"simulator":[92],"CAVE,":[95],"which":[96],"provides":[97],"stereoscopic":[98],"immersive":[99],"vision.":[100],"Finally,":[101],"performance":[103],"in":[108],"case":[110],"recognizer":[115],"examined.":[117],"results":[119],"show":[120],"high":[122],"potential":[123],"ability":[124],"recognizer.":[132]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}