{"id":"https://openalex.org/W1988469442","doi":"https://doi.org/10.1109/itsc.2014.6957642","title":"Prediction of driving behaviors in intersections based on a supervised dimension reduction considering locality","display_name":"Prediction of driving behaviors in intersections based on a supervised dimension reduction considering locality","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W1988469442","doi":"https://doi.org/10.1109/itsc.2014.6957642","mag":"1988469442"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2014.6957642","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2014.6957642","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"17th International IEEE Conference on Intelligent Transportation Systems (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/A5084140018","display_name":"Takatomi Kubo","orcid":"https://orcid.org/0000-0003-0192-7177"},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takatomi Kubo","raw_affiliation_strings":["Graduate School of Information Science, Nara Institute of Science and Technology, Nara, Japan","Graduate Sch. of Inf. Sci., Nara Inst. of Sci. & Technol., Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science, Nara Institute of Science and Technology, Nara, Japan","institution_ids":["https://openalex.org/I75917431"]},{"raw_affiliation_string":"Graduate Sch. of Inf. Sci., Nara Inst. of Sci. & Technol., Japan","institution_ids":["https://openalex.org/I75917431"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034693077","display_name":"Ryunosuke Hamada","orcid":"https://orcid.org/0000-0002-7506-0230"},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryunosuke Hamada","raw_affiliation_strings":["Graduate School of Information Science, Nara Institute of Science and Technology, Nara, Japan","Graduate Sch. of Inf. Sci., Nara Inst. of Sci. & Technol., Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science, Nara Institute of Science and Technology, Nara, Japan","institution_ids":["https://openalex.org/I75917431"]},{"raw_affiliation_string":"Graduate Sch. of Inf. Sci., Nara Inst. of Sci. & Technol., Japan","institution_ids":["https://openalex.org/I75917431"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089960801","display_name":"Zujie Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Zujie Zhang","raw_affiliation_strings":["Graduate School of Information Science, Nara Institute of Science and Technology, Nara, Japan","Graduate Sch. of Inf. Sci., Nara Inst. of Sci. & Technol., Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science, Nara Institute of Science and Technology, Nara, Japan","institution_ids":["https://openalex.org/I75917431"]},{"raw_affiliation_string":"Graduate Sch. of Inf. Sci., Nara Inst. of Sci. & Technol., Japan","institution_ids":["https://openalex.org/I75917431"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062709079","display_name":"Kazushi Ikeda","orcid":"https://orcid.org/0000-0003-3330-6121"},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazushi Ikeda","raw_affiliation_strings":["Graduate School of Information Science, Nara Institute of Science and Technology, Nara, Japan","Graduate Sch. of Inf. Sci., Nara Inst. of Sci. & Technol., Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science, Nara Institute of Science and Technology, Nara, Japan","institution_ids":["https://openalex.org/I75917431"]},{"raw_affiliation_string":"Graduate Sch. of Inf. Sci., Nara Inst. of Sci. & Technol., Japan","institution_ids":["https://openalex.org/I75917431"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067199220","display_name":"Takashi Bando","orcid":"https://orcid.org/0000-0001-8662-0742"},"institutions":[{"id":"https://openalex.org/I4210132650","display_name":"Denso (Japan)","ror":"https://ror.org/04hkpfa76","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210132650"]},{"id":"https://openalex.org/I67530263","display_name":"Denso (United States)","ror":"https://ror.org/02w314k38","country_code":"US","type":"company","lineage":["https://openalex.org/I4210132650","https://openalex.org/I67530263"]}],"countries":["JP","US"],"is_corresponding":false,"raw_author_name":"Takashi Bando","raw_affiliation_strings":["DENSO CORPORATION, Aichi, Japan","Denso Corp., Aichi, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DENSO CORPORATION, Aichi, Japan","institution_ids":["https://openalex.org/I4210132650"]},{"raw_affiliation_string":"Denso Corp., Aichi, Japan","institution_ids":["https://openalex.org/I67530263"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112203313","display_name":"Kentarou Hitomi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210132650","display_name":"Denso (Japan)","ror":"https://ror.org/04hkpfa76","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210132650"]},{"id":"https://openalex.org/I67530263","display_name":"Denso (United States)","ror":"https://ror.org/02w314k38","country_code":"US","type":"company","lineage":["https://openalex.org/I4210132650","https://openalex.org/I67530263"]}],"countries":["JP","US"],"is_corresponding":false,"raw_author_name":"Kentarou Hitomi","raw_affiliation_strings":["DENSO CORPORATION, Aichi, Japan","Denso Corp., Aichi, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DENSO CORPORATION, Aichi, Japan","institution_ids":["https://openalex.org/I4210132650"]},{"raw_affiliation_string":"Denso Corp., Aichi, Japan","institution_ids":["https://openalex.org/I67530263"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083285142","display_name":"Masumi Egawa","orcid":null},"institutions":[{"id":"https://openalex.org/I4210132650","display_name":"Denso (Japan)","ror":"https://ror.org/04hkpfa76","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210132650"]},{"id":"https://openalex.org/I67530263","display_name":"Denso (United States)","ror":"https://ror.org/02w314k38","country_code":"US","type":"company","lineage":["https://openalex.org/I4210132650","https://openalex.org/I67530263"]}],"countries":["JP","US"],"is_corresponding":false,"raw_author_name":"Masumi Egawa","raw_affiliation_strings":["DENSO CORPORATION, Aichi, Japan","Denso Corp., Aichi, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DENSO CORPORATION, Aichi, Japan","institution_ids":["https://openalex.org/I4210132650"]},{"raw_affiliation_string":"Denso Corp., Aichi, Japan","institution_ids":["https://openalex.org/I67530263"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07747622,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"10","issue":null,"first_page":"1487","last_page":"1489"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9929999709129333,"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":0.9929999709129333,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.98580002784729,"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"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9833999872207642,"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/hidden-markov-model","display_name":"Hidden Markov model","score":0.752647876739502},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.7126188278198242},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.7039967775344849},{"id":"https://openalex.org/keywords/locality","display_name":"Locality","score":0.6564391255378723},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6474173069000244},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.630966305732727},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5815600156784058},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.5766679048538208},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5506946444511414},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.524488627910614},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49593695998191833},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.44692063331604004},{"id":"https://openalex.org/keywords/multimodality","display_name":"Multimodality","score":0.44189149141311646},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25552940368652344}],"concepts":[{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.752647876739502},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.7126188278198242},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.7039967775344849},{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.6564391255378723},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6474173069000244},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.630966305732727},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5815600156784058},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.5766679048538208},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5506946444511414},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.524488627910614},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49593695998191833},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.44692063331604004},{"id":"https://openalex.org/C2780910867","wikidata":"https://www.wikidata.org/wiki/Q1952416","display_name":"Multimodality","level":2,"score":0.44189149141311646},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25552940368652344},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc.2014.6957642","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2014.6957642","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"17th International IEEE Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1524333225","https://openalex.org/W2001619934","https://openalex.org/W2030418992","https://openalex.org/W2049633694","https://openalex.org/W2084246939","https://openalex.org/W2105594594","https://openalex.org/W2109531142","https://openalex.org/W2128060716","https://openalex.org/W2154872931","https://openalex.org/W2158808283","https://openalex.org/W2750378047","https://openalex.org/W3014771378","https://openalex.org/W3129711340","https://openalex.org/W4212863985","https://openalex.org/W6631362777","https://openalex.org/W6676189307","https://openalex.org/W6682644385","https://openalex.org/W7048738093"],"related_works":["https://openalex.org/W4205899436","https://openalex.org/W2462138927","https://openalex.org/W3111427900","https://openalex.org/W4302009627","https://openalex.org/W4212781403","https://openalex.org/W4388989680","https://openalex.org/W2901011898","https://openalex.org/W2124332660","https://openalex.org/W2168411768","https://openalex.org/W2391958148"],"abstract_inverted_index":{"Prediction":[0],"of":[1,9,18,25,35,53,79,119,135],"driving":[2,26,37,63,127],"behavior":[3,38],"has":[4],"been":[5],"regarded":[6],"as":[7],"one":[8],"the":[10,15,33,76,108,117,120,149,154,159],"important":[11],"issue":[12],"to":[13,40,47,61,96],"realize":[14],"next":[16],"generation":[17],"advanced":[19],"driver":[20],"assistance":[21],"systems.":[22],"However,":[23],"prediction":[24,156],"behaviors":[27,64],"is":[28],"also":[29],"difficult":[30],"issue,":[31],"because":[32],"distribution":[34],"each":[36],"seems":[39],"be":[41,83],"not":[42],"unimodal":[43],"but":[44],"multimodal":[45,77],"due":[46],"its":[48,131],"intrinsic":[49],"complexity":[50],"and":[51,71,111,129,141],"lack":[52],"a":[54,66,147],"well-established":[55],"segmentation":[56],"method.":[57],"When":[58],"we":[59],"consider":[60],"predict":[62],"with":[65,99,122,133,136,142],"supervised":[67],"dimension":[68,144],"reduction":[69],"method":[70,152],"hidden":[72],"Markov":[73],"models":[74],"(HMMs),":[75],"structure":[78],"observed":[80],"distributions":[81],"should":[82],"preserved":[84],"since":[85],"they":[86],"can":[87,106],"contain":[88],"information":[89],"regarding":[90],"these":[91],"behaviors.":[92],"We":[93,115],"therefore":[94],"propose":[95],"combine":[97],"HMMs":[98,121],"local":[100],"Fisher":[101,138],"discriminant":[102,139],"analysis":[103,140],"(LFDA)":[104],"that":[105],"maximize":[107],"between-class":[109],"separatability":[110],"preserve":[112],"within-class":[113],"multimodality.":[114],"evaluated":[116],"performance":[118,132],"LFDA":[123,150],"in":[124],"predicting":[125],"actual":[126],"behaviors,":[128],"compared":[130],"those":[134],"conventional":[137],"no":[143],"reduction.":[145],"As":[146],"result,":[148],"based":[151],"showed":[153],"best":[155],"accuracy":[157],"among":[158],"all":[160],"methods.":[161]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}