{"id":"https://openalex.org/W2509318221","doi":"https://doi.org/10.1109/ivs.2016.7535455","title":"Integrating driving behavior and traffic context through signal symbolization","display_name":"Integrating driving behavior and traffic context through signal symbolization","publication_year":2016,"publication_date":"2016-06-01","ids":{"openalex":"https://openalex.org/W2509318221","doi":"https://doi.org/10.1109/ivs.2016.7535455","mag":"2509318221"},"language":"en","primary_location":{"id":"doi:10.1109/ivs.2016.7535455","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2016.7535455","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Intelligent Vehicles Symposium (IV)","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/A5053444054","display_name":"Suguru Yamazaki","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":"Suguru Yamazaki","raw_affiliation_strings":["Nagoya University, Furo-cho, Nagoya, JAPAN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nagoya University, Furo-cho, Nagoya, JAPAN","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108524583","display_name":"Chiyomi Miyajima","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":"Chiyomi Miyajima","raw_affiliation_strings":["Nagoya University, Furo-cho, Nagoya, JAPAN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nagoya University, Furo-cho, Nagoya, JAPAN","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031280652","display_name":"Ekim Yurtsever","orcid":"https://orcid.org/0000-0002-3103-6052"},"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":"Ekim Yurtsever","raw_affiliation_strings":["Nagoya University, Furo-cho, Nagoya, JAPAN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nagoya University, Furo-cho, Nagoya, JAPAN","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042118446","display_name":"Kazuya Takeda","orcid":"https://orcid.org/0000-0002-0330-1787"},"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":"Kazuya Takeda","raw_affiliation_strings":["Nagoya University, Furo-cho, Nagoya, JAPAN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nagoya University, Furo-cho, Nagoya, JAPAN","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000776443","display_name":"Masataka Mori","orcid":"https://orcid.org/0000-0002-1473-8669"},"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"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masataka Mori","raw_affiliation_strings":["Corporate R&D Div. 1, DENSO CORPORATION, Kariya, Aichi, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Corporate R&D Div. 1, DENSO CORPORATION, Kariya, Aichi, Japan","institution_ids":["https://openalex.org/I4210132650"]}]},{"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"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kentarou Hitomi","raw_affiliation_strings":["Corporate R&D Div. 1, DENSO CORPORATION, Kariya, Aichi, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Corporate R&D Div. 1, DENSO CORPORATION, Kariya, Aichi, Japan","institution_ids":["https://openalex.org/I4210132650"]}]},{"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"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masumi Egawa","raw_affiliation_strings":["Corporate R&D Div. 1, DENSO CORPORATION, Kariya, Aichi, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Corporate R&D Div. 1, DENSO CORPORATION, Kariya, Aichi, Japan","institution_ids":["https://openalex.org/I4210132650"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"642","last_page":"647"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9994999766349792,"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":0.9994999766349792,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9925000071525574,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9815999865531921,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7397311925888062},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.6357853412628174},{"id":"https://openalex.org/keywords/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.633965015411377},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5881902575492859},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5874862670898438},{"id":"https://openalex.org/keywords/chunking","display_name":"Chunking (psychology)","score":0.5494769811630249},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5129892230033875},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44286686182022095},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4188779592514038},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34020131826400757},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.19258949160575867}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7397311925888062},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.6357853412628174},{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.633965015411377},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5881902575492859},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5874862670898438},{"id":"https://openalex.org/C203357204","wikidata":"https://www.wikidata.org/wiki/Q1089605","display_name":"Chunking (psychology)","level":2,"score":0.5494769811630249},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5129892230033875},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44286686182022095},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4188779592514038},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34020131826400757},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.19258949160575867},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ivs.2016.7535455","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2016.7535455","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W77912868","https://openalex.org/W145419319","https://openalex.org/W1550337734","https://openalex.org/W1880262756","https://openalex.org/W2008074204","https://openalex.org/W2027911950","https://openalex.org/W2105015918","https://openalex.org/W2133362858","https://openalex.org/W2140991203","https://openalex.org/W2170003873","https://openalex.org/W2240306106","https://openalex.org/W2517324061","https://openalex.org/W2972891548","https://openalex.org/W4231510805","https://openalex.org/W4240431742","https://openalex.org/W6603126656","https://openalex.org/W6605916972","https://openalex.org/W6639619044","https://openalex.org/W6690128809","https://openalex.org/W6767874007"],"related_works":["https://openalex.org/W3107650560","https://openalex.org/W3126382579","https://openalex.org/W2384729545","https://openalex.org/W2198395236","https://openalex.org/W4317422773","https://openalex.org/W2800417007","https://openalex.org/W4315588616","https://openalex.org/W2810542905","https://openalex.org/W3123667230","https://openalex.org/W2155531513"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,57],"novel":[4],"method":[5,26],"for":[6,51,82,99],"integrating":[7],"driving":[8,20,75,88,96,123],"behavior":[9,76,124,138],"and":[10,41,77,125,139],"traffic":[11],"context":[12,140],"through":[13,131],"signal":[14],"symbolization":[15,136],"in":[16],"order":[17],"to":[18,30,71],"summarize":[19],"semantics":[21,85],"from":[22],"sensor":[23,54],"outputs.":[24],"The":[25],"has":[27],"been":[28,49,120],"applied":[29],"risky":[31],"lane":[32,91,106],"change":[33,107],"detection.":[34],"Language":[35],"models":[36],"(nested":[37],"Pitman-Yor":[38],"language":[39],"model)":[40],"speech":[42],"recognition":[43],"algorithms":[44],"(hidden":[45],"Markov":[46],"Model)":[47],"have":[48,119],"utilized":[50],"converting":[52],"continuous":[53],"signals":[55],"into":[56],"sequence":[58],"of":[59,86,93,104,137],"non-uniform":[60],"segments":[61],"(chunks).":[62],"After":[63],"symbolization,":[64],"Latent":[65],"Dirichlet":[66],"Allocation":[67],"(LDA)":[68],"is":[69],"used":[70,98,113],"integrate":[72],"the":[73,78,84,87,100],"symbolized":[74],"surrounding":[79,126],"vehicle":[80,127],"information":[81,128],"establishing":[83],"scene.":[89],"988":[90],"changes":[92],"real-world":[94],"highway":[95],"are":[97,112,129],"evaluation.":[101],"Risk":[102],"level":[103],"each":[105],"rated":[108],"by":[109],"10":[110],"subjects":[111],"as":[114],"ground":[115],"truth.":[116],"Best":[117],"results":[118],"obtained":[121],"when":[122],"integrated":[130],"co-occurrence":[132],"chunking":[133],"after":[134],"independent":[135],"signals.":[141]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
