{"id":"https://openalex.org/W4402030477","doi":"https://doi.org/10.1145/3674700.3674702","title":"Abnormal behavior detection of drivers based on improved YOLOv8","display_name":"Abnormal behavior detection of drivers based on improved YOLOv8","publication_year":2024,"publication_date":"2024-06-13","ids":{"openalex":"https://openalex.org/W4402030477","doi":"https://doi.org/10.1145/3674700.3674702"},"language":"en","primary_location":{"id":"doi:10.1145/3674700.3674702","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3674700.3674702","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 6th International Conference on Control and Computer Vision","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/A5086487776","display_name":"Jianxia Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I34155123","display_name":"Hebei University of Science and Technology","ror":"https://ror.org/05h3pkk68","country_code":"CN","type":"education","lineage":["https://openalex.org/I34155123"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianxia Wang","raw_affiliation_strings":["Hebei University of Science and Technology, China"],"raw_orcid":"https://orcid.org/0009-0004-9037-7086","affiliations":[{"raw_affiliation_string":"Hebei University of Science and Technology, China","institution_ids":["https://openalex.org/I34155123"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106839124","display_name":"Yutao Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I34155123","display_name":"Hebei University of Science and Technology","ror":"https://ror.org/05h3pkk68","country_code":"CN","type":"education","lineage":["https://openalex.org/I34155123"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yutao Wei","raw_affiliation_strings":["Hebei University of Science and Technology, China"],"raw_orcid":"https://orcid.org/0009-0004-6145-7052","affiliations":[{"raw_affiliation_string":"Hebei University of Science and Technology, China","institution_ids":["https://openalex.org/I34155123"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106870342","display_name":"Zhao Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao Chen","raw_affiliation_strings":["High-resolution Earth Observation System-Hebei Data and Application Center, China"],"raw_orcid":"https://orcid.org/0009-0003-0286-0848","affiliations":[{"raw_affiliation_string":"High-resolution Earth Observation System-Hebei Data and Application Center, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.789,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.65194762,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"8","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9962999820709229,"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":0.9962999820709229,"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/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9771000146865845,"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":0.5086541771888733}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5086541771888733}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3674700.3674702","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3674700.3674702","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 6th International Conference on Control and Computer Vision","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/W2132417262","https://openalex.org/W2159397219","https://openalex.org/W6679786046"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"Aiming":[0],"at":[1],"the":[2,34,45,48,54,59,65,73,78,96,106,112,117,124,131,139,157],"problem":[3],"of":[4,31,47,58,80,109,142,156],"frequent":[5],"traffic":[6],"accidents":[7],"caused":[8],"by":[9,115,122,128],"more":[10,12],"and":[11,130,153],"drivers":[13],"ignoring":[14],"driving":[15,29],"norms,":[16],"a":[17],"network":[18,81],"model":[19,51,60,99,158],"based":[20],"on":[21],"improved":[22,97],"YOLOv8":[23,50,98],"was":[24],"proposed":[25],"to":[26,52,72,76,87,137,149],"detect":[27],"abnormal":[28,107],"behavior":[30,108],"drivers.":[32],"Firstly,":[33],"SimAM":[35],"attention":[36],"mechanism":[37],"is":[38,70],"added":[39,71],"after":[40],"each":[41,143],"C2f":[42],"module":[43,67],"in":[44,68,104],"backbone":[46],"original":[49],"enhance":[53],"feature":[55],"representation":[56],"ability":[57],"for":[61],"input":[62],"data.":[63],"Secondly,":[64],"PGI":[66],"YOLOv9":[69],"Neck":[74],"part":[75],"reduce":[77],"loss":[79],"information":[82],"during":[83],"training,":[84],"so":[85],"as":[86],"achieve":[88],"better":[89],"experimental":[90],"results.":[91],"The":[92,151],"results":[93,103],"show":[94],"that":[95],"has":[100,145],"achieved":[101],"significant":[102],"detecting":[105],"drivers,":[110],"with":[111],"accuracy":[113,120,152],"increased":[114,121,127,134,146],"5.8%,":[116],"mean":[118,126],"average":[119],"10.2%,":[123],"harmonic":[125],"7.3%,":[129],"detection":[132,154],"rate":[133],"from":[135,147],"110f/s":[136],"114f/s,":[138],"processing":[140],"speed":[141,155],"image":[144],"0.1ms":[148],"0.3ms.":[150],"are":[159],"further":[160],"improved.":[161]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}