{"id":"https://openalex.org/W2105015918","doi":"https://doi.org/10.1109/ivs.2014.6856476","title":"Generating contextual description from driving behavioral data","display_name":"Generating contextual description from driving behavioral data","publication_year":2014,"publication_date":"2014-06-01","ids":{"openalex":"https://openalex.org/W2105015918","doi":"https://doi.org/10.1109/ivs.2014.6856476","mag":"2105015918"},"language":"en","primary_location":{"id":"doi:10.1109/ivs.2014.6856476","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2014.6856476","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Intelligent Vehicles Symposium Proceedings","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/A5067199220","display_name":"Takashi Bando","orcid":"https://orcid.org/0000-0001-8662-0742"},"institutions":[{"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"]},{"id":"https://openalex.org/I4210132650","display_name":"Denso (Japan)","ror":"https://ror.org/04hkpfa76","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210132650"]}],"countries":["JP","US"],"is_corresponding":true,"raw_author_name":"Takashi Bando","raw_affiliation_strings":["Kabushiki Kaisha Denso, Kariya, Aichi, JP","Corp. R&D Div 3, DENSO Corp., Kariya, Japan"],"affiliations":[{"raw_affiliation_string":"Kabushiki Kaisha Denso, Kariya, Aichi, JP","institution_ids":["https://openalex.org/I4210132650"]},{"raw_affiliation_string":"Corp. R&D Div 3, DENSO Corp., Kariya, Japan","institution_ids":["https://openalex.org/I67530263"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077857378","display_name":"Kazuhito Takenaka","orcid":"https://orcid.org/0009-0001-0821-2724"},"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":"Kazuhito Takenaka","raw_affiliation_strings":["Kabushiki Kaisha Denso, Kariya, Aichi, JP","Corp. R&D Div 3, DENSO Corp., Kariya, Japan"],"affiliations":[{"raw_affiliation_string":"Kabushiki Kaisha Denso, Kariya, Aichi, JP","institution_ids":["https://openalex.org/I4210132650"]},{"raw_affiliation_string":"Corp. R&D Div 3, DENSO Corp., Kariya, Japan","institution_ids":["https://openalex.org/I67530263"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035645797","display_name":"Shogo Nagasaka","orcid":null},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shogo Nagasaka","raw_affiliation_strings":["Ritsumeikan Daigaku, Kyoto, Kyoto, JP","College of Information Science and Engineering, Ritsumeikan University, Kusatsu, Japan"],"affiliations":[{"raw_affiliation_string":"Ritsumeikan Daigaku, Kyoto, Kyoto, JP","institution_ids":["https://openalex.org/I135768898"]},{"raw_affiliation_string":"College of Information Science and Engineering, Ritsumeikan University, Kusatsu, Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023160093","display_name":"Tadahiro Taniguchi","orcid":"https://orcid.org/0000-0002-5682-2076"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tadahiro Taniguchi","raw_affiliation_strings":["Ritsumeikan Daigaku, Kyoto, Kyoto, JP","College of Information Science and Engineering, Ritsumeikan University, Kusatsu, Japan"],"affiliations":[{"raw_affiliation_string":"Ritsumeikan Daigaku, Kyoto, Kyoto, JP","institution_ids":["https://openalex.org/I135768898"]},{"raw_affiliation_string":"College of Information Science and Engineering, Ritsumeikan University, Kusatsu, Japan","institution_ids":["https://openalex.org/I135768898"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5067199220"],"corresponding_institution_ids":["https://openalex.org/I4210132650","https://openalex.org/I67530263"],"apc_list":null,"apc_paid":null,"fwci":1.4632,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.86067841,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"183","last_page":"189"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9940000176429749,"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"}},"topics":[{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9940000176429749,"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":0.9926000237464905,"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"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.98089998960495,"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":0.6725360751152039},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4167041778564453}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6725360751152039},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4167041778564453}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ivs.2014.6856476","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2014.6856476","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Intelligent Vehicles Symposium Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6700000166893005,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1971414456","https://openalex.org/W1972330796","https://openalex.org/W1973321600","https://openalex.org/W1990360557","https://openalex.org/W1999924989","https://openalex.org/W2001082470","https://openalex.org/W2027911950","https://openalex.org/W2052080463","https://openalex.org/W2081084776","https://openalex.org/W2083955608","https://openalex.org/W2098794415","https://openalex.org/W2116137244","https://openalex.org/W2128060716","https://openalex.org/W2131762276","https://openalex.org/W2136851074","https://openalex.org/W2136985729","https://openalex.org/W2139367509","https://openalex.org/W2140991203","https://openalex.org/W2146404773","https://openalex.org/W2161050705","https://openalex.org/W2972891548","https://openalex.org/W4237791300","https://openalex.org/W6677121468","https://openalex.org/W6767874007","https://openalex.org/W6834357723"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3,142,173,204],"automatic":[4],"translation":[5],"method":[6,168,202],"from":[7],"time-series":[8,91],"driving":[9,50,65,92,98,126],"behavior":[10,93],"into":[11,96],"natural":[12,103],"language":[13,104],"with":[14,135],"contextual":[15,152,191],"information.":[16],"Nowadays,":[17],"various":[18],"advanced":[19],"driver-assistance":[20],"systems":[21,59],"(ADASs)":[22],"have":[23,60],"been":[24],"developed":[25],"to":[26,38,61,121,160],"reduce":[27,39],"the":[28,47,58,102,112,122,125,128,166,200],"number":[29],"of":[30,49,68,106,124,165,177,185,206],"traffic":[31,78],"accidents":[32],"and":[33,51,73,83,85,101,138],"multiple":[34,44],"ADASs":[35],"are":[36,193],"required":[37],"further":[40],"accidents.":[41],"For":[42],"such":[43,80],"ADASs,":[45],"considering":[46],"context":[48],"selecting":[52],"appropriate":[53],"assistance":[54],"is":[55,94,109],"key":[56],"because":[57],"handle":[62],"extremely":[63],"complicated":[64],"situations":[66],"consisting":[67],"drivers":[69],"(and":[70],"their":[71,136],"intents":[72],"maneuvers),":[74],"environments":[75],"(including":[76],"other":[77],"participants":[79],"as":[81,151],"vehicles":[82,86],"pedestrians),":[84],"dynamics.":[87],"In":[88],"this":[89],"paper,":[90],"segmented":[95],"typical":[97],"situation":[99,108],"symbols,":[100],"expression":[105],"each":[107,118],"generated":[110,129],"via":[111],"behavioral":[113,130],"feature":[114],"distribution":[115],"observed":[116],"in":[117,188],"situation.":[119],"Owing":[120],"symbolization":[123],"behavior,":[127],"descriptions":[131],"can":[132],"be":[133],"associated":[134],"causes":[137],"results":[139],"not":[140],"on":[141,147,157],"actual":[143,174],"time":[144],"axis":[145,150],"but":[146],"a":[148,183],"situation-symbol":[149],"descriptions,":[153],"e.g.,":[154],"\u201cletting":[155],"up":[156],"gas":[158],"pedal":[159],"pass":[161],"tollgate.\u201d":[162],"The":[163],"effectiveness":[164],"proposed":[167,201],"was":[169],"evaluated":[170],"by":[171],"using":[172],"data":[175],"set":[176],"more":[178,207],"than":[179,208],"eight":[180],"hours":[181],"over":[182],"distance":[184],"300":[186],"km":[187],"total.":[189],"Although":[190],"expressions":[192],"very":[194],"diverse":[195],"even":[196],"among":[197],"human":[198],"drivers,":[199],"obtained":[203],"agreement":[205],"70%.":[209]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}