{"id":"https://openalex.org/W3036283164","doi":"https://doi.org/10.1109/icccs49078.2020.9118580","title":"Driving State Recognition for Ego-central Driving Videos","display_name":"Driving State Recognition for Ego-central Driving Videos","publication_year":2020,"publication_date":"2020-05-01","ids":{"openalex":"https://openalex.org/W3036283164","doi":"https://doi.org/10.1109/icccs49078.2020.9118580","mag":"3036283164"},"language":"en","primary_location":{"id":"doi:10.1109/icccs49078.2020.9118580","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccs49078.2020.9118580","pdf_url":null,"source":{"id":"https://openalex.org/S4306498617","display_name":"2020 5th International Conference on Computer and Communication Systems (ICCCS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 5th International Conference on Computer and Communication Systems (ICCCS)","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/A5080438155","display_name":"Guimei Qi","orcid":null},"institutions":[{"id":"https://openalex.org/I22046295","display_name":"Inner Mongolia Normal University","ror":"https://ror.org/0497ase59","country_code":"CN","type":"education","lineage":["https://openalex.org/I22046295"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guimei Qi","raw_affiliation_strings":["Inner Mongolia Normal University,College of Computer Science and Technology,Hohhot,China","College of Computer Science and Technology, Inner Mongolia Normal University, Hohhot, China"],"affiliations":[{"raw_affiliation_string":"Inner Mongolia Normal University,College of Computer Science and Technology,Hohhot,China","institution_ids":["https://openalex.org/I22046295"]},{"raw_affiliation_string":"College of Computer Science and Technology, Inner Mongolia Normal University, Hohhot, China","institution_ids":["https://openalex.org/I22046295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101668335","display_name":"Li Du","orcid":"https://orcid.org/0000-0001-6346-6615"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Du","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,School of Information and Communications,Beijing,China","School of Information and Communications, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,School of Information and Communications,Beijing,China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"School of Information and Communications, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056958899","display_name":"Min Zhi","orcid":"https://orcid.org/0009-0001-3069-8628"},"institutions":[{"id":"https://openalex.org/I22046295","display_name":"Inner Mongolia Normal University","ror":"https://ror.org/0497ase59","country_code":"CN","type":"education","lineage":["https://openalex.org/I22046295"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Zhi","raw_affiliation_strings":["Inner Mongolia Normal University,College of Computer Science and Technology,Hohhot,China","College of Computer Science and Technology, Inner Mongolia Normal University, Hohhot, China"],"affiliations":[{"raw_affiliation_string":"Inner Mongolia Normal University,College of Computer Science and Technology,Hohhot,China","institution_ids":["https://openalex.org/I22046295"]},{"raw_affiliation_string":"College of Computer Science and Technology, Inner Mongolia Normal University, Hohhot, China","institution_ids":["https://openalex.org/I22046295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010419100","display_name":"Qing Yong","orcid":null},"institutions":[{"id":"https://openalex.org/I22046295","display_name":"Inner Mongolia Normal University","ror":"https://ror.org/0497ase59","country_code":"CN","type":"education","lineage":["https://openalex.org/I22046295"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Yong","raw_affiliation_strings":["Inner Mongolia Normal University,College of Computer Science and Technology,Hohhot,China","College of Computer Science and Technology, Inner Mongolia Normal University, Hohhot, China"],"affiliations":[{"raw_affiliation_string":"Inner Mongolia Normal University,College of Computer Science and Technology,Hohhot,China","institution_ids":["https://openalex.org/I22046295"]},{"raw_affiliation_string":"College of Computer Science and Technology, Inner Mongolia Normal University, Hohhot, China","institution_ids":["https://openalex.org/I22046295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5080438155"],"corresponding_institution_ids":["https://openalex.org/I22046295"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06556837,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"277","last_page":"280"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":1.0,"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/T10812","display_name":"Human Pose and Action Recognition","score":1.0,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9991999864578247,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9955999851226807,"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":0.7826889157295227},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6199578642845154},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5879474878311157},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5809609293937683},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5320060849189758},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4892566204071045},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.484094500541687},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4432871639728546},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.442007452249527},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.42736124992370605},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4151257574558258},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37507501244544983},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37296295166015625},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.09347984194755554}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7826889157295227},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6199578642845154},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5879474878311157},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5809609293937683},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5320060849189758},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4892566204071045},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.484094500541687},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4432871639728546},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.442007452249527},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.42736124992370605},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4151257574558258},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37507501244544983},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37296295166015625},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.09347984194755554},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccs49078.2020.9118580","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccs49078.2020.9118580","pdf_url":null,"source":{"id":"https://openalex.org/S4306498617","display_name":"2020 5th International Conference on Computer and Communication Systems (ICCCS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 5th International Conference on Computer and Communication Systems (ICCCS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.8199999928474426,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1832693441","https://openalex.org/W1944615693","https://openalex.org/W2342840547","https://openalex.org/W2728508935","https://openalex.org/W2963321993","https://openalex.org/W2965188267","https://openalex.org/W2983796203","https://openalex.org/W2987341027"],"related_works":["https://openalex.org/W2366107444","https://openalex.org/W4388145910","https://openalex.org/W2381570729","https://openalex.org/W1976205134","https://openalex.org/W4248336175","https://openalex.org/W2031260042","https://openalex.org/W2391445434","https://openalex.org/W3009369890","https://openalex.org/W4312490297","https://openalex.org/W2062212388"],"abstract_inverted_index":{"In":[0,29,91],"computer":[1],"vision":[2],"filed,":[3],"route-planning":[4],"plays":[5],"a":[6,121],"vital":[7],"role":[8],"in":[9,120],"guiding":[10],"vehicles.":[11],"Efficient":[12],"recognition":[13,38,58,66],"the":[14,86,95,107,110,128,145,150,170,176],"motion":[15],"states":[16],"of":[17,100,109,127,156],"driving":[18,26,36,42,64,70,88,137,158],"vehicles":[19],"may":[20],"contribute":[21],"to":[22,84,105],"an":[23,34,62],"effective":[24,162],"advanced":[25],"assistance":[27],"system.":[28],"this":[30],"paper,":[31],"we":[32,60,93],"propose":[33,61],"end-to-end":[35,63],"state":[37,65],"method":[39,67,130,178],"for":[40,68],"ego-central":[41,69,157],"videos":[43,159],"based":[44,55,74],"on":[45,133,169],"NVIDIA's":[46],"frame-level":[47],"steering":[48],"angle":[49],"generation":[50],"and":[51,135,154],"3D":[52],"ConvNet":[53],"(C3D)":[54],"video-level":[56],"action":[57],"tasks,":[59],"videos.":[71],"A":[72],"C3D":[73,79],"deep":[75],"learning":[76,165],"architecture,":[77],"named":[78],"Multi-classification":[80],"(CM),":[81],"is":[82,131],"proposed":[83,129,146,177],"recognize":[85],"multiple":[87],"vehicle":[89],"states.":[90],"particular,":[92],"train":[94],"network":[96,147],"with":[97],"large":[98],"amounts":[99],"video":[101,112],"sequences,":[102],"force":[103],"it":[104],"generate":[106],"category":[108],"given":[111],"batch.":[113],"The":[114,125,140],"generated":[115],"results":[116,142,168],"can":[117,148],"be":[118],"utilized":[119],"high-level":[122],"decision-making":[123],"progress.":[124],"efficiency":[126],"evaluated":[132],"Canpus20":[134],"NVIDIA":[136],"datasets":[138],"separately.":[139],"verified":[141],"show":[143],"that,":[144],"construct":[149],"internal":[151],"representation":[152],"(content":[153],"dynamic)":[155],"using":[160],"its":[161],"spatiotemporal":[163],"feature":[164],"ability.":[166],"Experimental":[167],"real-world":[171],"captured":[172],"dataset":[173],"prove":[174],"that":[175],"has":[179],"good":[180],"generalization.":[181]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}