{"id":"https://openalex.org/W4214876850","doi":"https://doi.org/10.1109/icaiic54071.2022.9722706","title":"Neural Architecture Search for Real-Time Driver Behavior Recognition","display_name":"Neural Architecture Search for Real-Time Driver Behavior Recognition","publication_year":2022,"publication_date":"2022-02-21","ids":{"openalex":"https://openalex.org/W4214876850","doi":"https://doi.org/10.1109/icaiic54071.2022.9722706"},"language":"en","primary_location":{"id":"doi:10.1109/icaiic54071.2022.9722706","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaiic54071.2022.9722706","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","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/A5085675119","display_name":"Jaeho Seong","orcid":null},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jaeho Seong","raw_affiliation_strings":["Kyungpook National University,Department of Future Automotive and IT Convergence,Daegu,Republic of Korea","Department of Future Automotive and IT Convergence, Kyungpook National University, Daegu, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyungpook National University,Department of Future Automotive and IT Convergence,Daegu,Republic of Korea","institution_ids":["https://openalex.org/I31419693"]},{"raw_affiliation_string":"Department of Future Automotive and IT Convergence, Kyungpook National University, Daegu, Republic of Korea","institution_ids":["https://openalex.org/I31419693"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007035012","display_name":"Chaehyun Lee","orcid":"https://orcid.org/0000-0002-4670-4519"},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Chaehyun Lee","raw_affiliation_strings":["Kyungpook National University,School of Electronic and Electrical Engineering,Daegu,Republic of Korea","School of Electronic and Electrical Engineering, Kyungpook National University, Daegu, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyungpook National University,School of Electronic and Electrical Engineering,Daegu,Republic of Korea","institution_ids":["https://openalex.org/I31419693"]},{"raw_affiliation_string":"School of Electronic and Electrical Engineering, Kyungpook National University, Daegu, Republic of Korea","institution_ids":["https://openalex.org/I31419693"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086165395","display_name":"Dong Seog Han","orcid":"https://orcid.org/0000-0002-7769-0236"},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dong Seog Han","raw_affiliation_strings":["Kyungpook National University,School of Electronic and Electrical Engineering,Daegu,Republic of Korea","School of Electronic and Electrical Engineering, Kyungpook National University, Daegu, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyungpook National University,School of Electronic and Electrical Engineering,Daegu,Republic of Korea","institution_ids":["https://openalex.org/I31419693"]},{"raw_affiliation_string":"School of Electronic and Electrical Engineering, Kyungpook National University, Daegu, Republic of Korea","institution_ids":["https://openalex.org/I31419693"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5085675119"],"corresponding_institution_ids":["https://openalex.org/I31419693"],"apc_list":null,"apc_paid":null,"fwci":0.3917,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.5580399,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"104","last_page":"108"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9955999851226807,"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":0.9955999851226807,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9916999936103821,"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"}},{"id":"https://openalex.org/T12095","display_name":"Vehicle emissions and performance","score":0.9850999712944031,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7843663096427917},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6499269604682922},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5158502459526062},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.49313753843307495},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4917059540748596},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4755660891532898},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4627893269062042},{"id":"https://openalex.org/keywords/mobile-phone","display_name":"Mobile phone","score":0.43771225214004517},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.41918420791625977},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.413921982049942}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7843663096427917},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6499269604682922},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5158502459526062},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.49313753843307495},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4917059540748596},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4755660891532898},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4627893269062042},{"id":"https://openalex.org/C2777421447","wikidata":"https://www.wikidata.org/wiki/Q17517","display_name":"Mobile phone","level":2,"score":0.43771225214004517},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.41918420791625977},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.413921982049942},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"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/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icaiic54071.2022.9722706","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaiic54071.2022.9722706","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.800000011920929,"display_name":"Good health and well-being"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320311649","display_name":"Ministry of Education","ror":"https://ror.org/036nq5137"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2095705004","https://openalex.org/W2331143823","https://openalex.org/W2752782242","https://openalex.org/W2883780447","https://openalex.org/W2884585870","https://openalex.org/W2885311373","https://openalex.org/W2962746461","https://openalex.org/W2963125010","https://openalex.org/W2963163009","https://openalex.org/W2963495494","https://openalex.org/W3035682985","https://openalex.org/W4297775537","https://openalex.org/W6674330103","https://openalex.org/W6701947533","https://openalex.org/W6737664043","https://openalex.org/W6753278433","https://openalex.org/W6753412334","https://openalex.org/W6753767121","https://openalex.org/W6766225098"],"related_works":["https://openalex.org/W4306904969","https://openalex.org/W2138720691","https://openalex.org/W4362501864","https://openalex.org/W4380318855","https://openalex.org/W2031695474","https://openalex.org/W2024136090","https://openalex.org/W2586732548","https://openalex.org/W3049728571","https://openalex.org/W2964765435","https://openalex.org/W4375867731"],"abstract_inverted_index":{"Driver":[0],"behavior":[1,111],"recognition":[2],"(DBR)":[3],"helps":[4],"to":[5,29,72,75],"ensure":[6],"driver":[7,31,82,110],"safety":[8],"by":[9,51],"alerting":[10],"drivers":[11],"about":[12],"potential":[13],"hazards":[14],"and":[15,43,113,126,142],"minimizing":[16],"them.":[17],"In":[18,33,78],"this":[19,100],"paper,":[20],"we":[21],"use":[22],"deep":[23,91],"learning-based":[24],"neural":[25,45],"architecture":[26,47],"search":[27],"(NAS)":[28],"classify":[30],"behavior.":[32],"the":[34,44,53,56,81,147],"NAS":[35],"method,":[36],"a":[37,95],"reinforcement":[38],"learning":[39],"algorithm":[40],"is":[41,48,68],"used,":[42],"network":[46,144],"quickly":[49],"searched":[50],"sharing":[52],"weights":[54],"of":[55],"parameters.":[57],"Most":[58],"DBR":[59,96],"models":[60],"focus":[61],"on":[62,90,131],"accuracy,":[63],"while":[64],"high":[65],"processing":[66],"speed":[67],"required":[69],"in":[70],"order":[71],"be":[73],"applied":[74],"actual":[76],"vehicles.":[77],"addition,":[79],"since":[80],"monitoring":[83],"system":[84],"(DMS)":[85],"includes":[86],"complex":[87],"algorithms":[88],"based":[89],"learning,":[92],"it":[93],"requires":[94],"model":[97,130],"that":[98],"takes":[99],"into":[101],"account.":[102],"We":[103],"collect":[104],"our":[105,132],"own":[106,133],"data":[107,134],"set":[108,135],"for":[109],"classification":[112,150],"recognize":[114],"four":[115],"common":[116],"driving":[117],"behaviors:":[118],"general":[119],"driving,":[120],"mobile":[121],"phone":[122],"use,":[123],"food":[124],"intake,":[125],"smoking.":[127],"The":[128],"proposed":[129],"collected":[136],"through":[137],"experiments":[138],"has":[139],"better":[140],"performance":[141],"lower":[143],"cost":[145],"than":[146],"previous":[148],"lightweight":[149],"model.":[151]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-26T08:31:28.666265","created_date":"2025-10-10T00:00:00"}