{"id":"https://openalex.org/W7141729276","doi":"https://doi.org/10.1109/icce67443.2026.11449890","title":"A Note on a Method for Repeated Classifier Update Based on Features of Normal Driving Vehicles","display_name":"A Note on a Method for Repeated Classifier Update Based on Features of Normal Driving Vehicles","publication_year":2026,"publication_date":"2026-02-03","ids":{"openalex":"https://openalex.org/W7141729276","doi":"https://doi.org/10.1109/icce67443.2026.11449890"},"language":null,"primary_location":{"id":"doi:10.1109/icce67443.2026.11449890","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce67443.2026.11449890","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE International Conference on Consumer Electronics (ICCE)","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/A5130796481","display_name":"Shoichiro Imoto","orcid":null},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Shoichiro Imoto","raw_affiliation_strings":["Hokkaido University,Graduate School of Engineering,Sapporo,Japan,060-8628"],"affiliations":[{"raw_affiliation_string":"Hokkaido University,Graduate School of Engineering,Sapporo,Japan,060-8628","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093272626","display_name":"Chinami Fukui","orcid":null},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Chinami Fukui","raw_affiliation_strings":["Hokkaido University,Graduate School of Engineering,Sapporo,Japan,060-8628"],"affiliations":[{"raw_affiliation_string":"Hokkaido University,Graduate School of Engineering,Sapporo,Japan,060-8628","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130807550","display_name":"Masahiro Yagi","orcid":null},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masahiro Yagi","raw_affiliation_strings":["Hokkaido University,Faculty of Engineering,Sapporo,Japan,060-8628"],"affiliations":[{"raw_affiliation_string":"Hokkaido University,Faculty of Engineering,Sapporo,Japan,060-8628","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073197671","display_name":"Sho Takahashi","orcid":"https://orcid.org/0000-0002-5338-5990"},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Sho Takahashi","raw_affiliation_strings":["Hokkaido University,Faculty of Engineering,Sapporo,Japan,060-8628"],"affiliations":[{"raw_affiliation_string":"Hokkaido University,Faculty of Engineering,Sapporo,Japan,060-8628","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108395632","display_name":"Toshio Yoshii","orcid":null},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Toshio Yoshii","raw_affiliation_strings":["Hokkaido University,Faculty of Engineering,Sapporo,Japan,060-8628"],"affiliations":[{"raw_affiliation_string":"Hokkaido University,Faculty of Engineering,Sapporo,Japan,060-8628","institution_ids":["https://openalex.org/I205349734"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5130796481"],"corresponding_institution_ids":["https://openalex.org/I205349734"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.93022618,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.09459999948740005,"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":0.09459999948740005,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.04039999842643738,"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/T10057","display_name":"Face and Expression Recognition","score":0.039799999445676804,"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/classifier","display_name":"Classifier (UML)","score":0.5476999878883362},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4472000002861023},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.26260000467300415},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.23989999294281006}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.61080002784729},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5663999915122986},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5476999878883362},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4472000002861023},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39800000190734863},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.26260000467300415},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2565999925136566},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.23989999294281006},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.23389999568462372},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.22349999845027924}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce67443.2026.11449890","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce67443.2026.11449890","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE International Conference on Consumer Electronics (ICCE)","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":3,"referenced_works":["https://openalex.org/W2132870739","https://openalex.org/W3162322285","https://openalex.org/W7101406467"],"related_works":[],"abstract_inverted_index":{"Recently,":[0],"various":[1],"methods":[2,37],"for":[3,67],"detecting":[4],"dangerous":[5],"driving":[6],"vehicles":[7,74],"from":[8],"traffic":[9,50,92],"videos":[10,51,93],"using":[11,72,91],"machine":[12],"learning":[13],"have":[14,43],"been":[15,44,53],"studied.":[16,45],"However,":[17],"because":[18],"road":[19],"environments":[20],"change":[21],"over":[22],"time,":[23],"the":[24,27,41,70,81,84],"performance":[25],"of":[26,83],"same":[28],"classifier":[29,42,71],"degrades":[30],"with":[31],"continued":[32],"use.":[33],"To":[34],"address":[35],"this,":[36],"that":[38],"automatically":[39],"update":[40],"Nevertheless,":[46],"their":[47],"application":[48],"to":[49],"has":[52],"limited.":[54],"In":[55],"this":[56],"paper,":[57],"based":[58],"on":[59,95],"our":[60],"previous":[61],"work,":[62],"we":[63],"propose":[64],"a":[65],"method":[66,86],"repeatedly":[68],"updating":[69],"only":[73],"commonly":[75],"observed":[76],"in":[77],"daily":[78],"traffic.":[79],"Finally,":[80],"effectiveness":[82],"proposed":[85],"is":[87],"validated":[88],"through":[89],"experiments":[90],"recorded":[94],"public":[96],"roads.":[97]},"counts_by_year":[],"updated_date":"2026-03-29T06:01:01.467347","created_date":"2026-03-28T00:00:00"}
