{"id":"https://openalex.org/W2517399638","doi":"https://doi.org/10.1109/icves.2016.7548167","title":"Robust vision-based driver state classification in the dazzling avoidance system","display_name":"Robust vision-based driver state classification in the dazzling avoidance system","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2517399638","doi":"https://doi.org/10.1109/icves.2016.7548167","mag":"2517399638"},"language":"en","primary_location":{"id":"doi:10.1109/icves.2016.7548167","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icves.2016.7548167","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Vehicular Electronics and Safety (ICVES)","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/A5075853713","display_name":"Xiangpeng Liu","orcid":"https://orcid.org/0000-0003-3540-848X"},"institutions":[{"id":"https://openalex.org/I180437899","display_name":"University of Bremen","ror":"https://ror.org/04ers2y35","country_code":"DE","type":"education","lineage":["https://openalex.org/I180437899"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Xiangpeng Liu","raw_affiliation_strings":["Institute of Automation, University of Bremen, Bremen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation, University of Bremen, Bremen, Germany","institution_ids":["https://openalex.org/I180437899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102017935","display_name":"Jie Zhao","orcid":"https://orcid.org/0000-0001-6340-5580"},"institutions":[{"id":"https://openalex.org/I180437899","display_name":"University of Bremen","ror":"https://ror.org/04ers2y35","country_code":"DE","type":"education","lineage":["https://openalex.org/I180437899"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jie Zhao","raw_affiliation_strings":["Institute of Automation, University of Bremen, Bremen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation, University of Bremen, Bremen, Germany","institution_ids":["https://openalex.org/I180437899"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060600469","display_name":"Axel Graeser","orcid":null},"institutions":[{"id":"https://openalex.org/I180437899","display_name":"University of Bremen","ror":"https://ror.org/04ers2y35","country_code":"DE","type":"education","lineage":["https://openalex.org/I180437899"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Axel Graeser","raw_affiliation_strings":["Institute of Automation, University of Bremen, Bremen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation, University of Bremen, Bremen, Germany","institution_ids":["https://openalex.org/I180437899"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5075853713"],"corresponding_institution_ids":["https://openalex.org/I180437899"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1023867,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.9993000030517578,"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/T12496","display_name":"Color perception and design","score":0.9801999926567078,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social 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/T11963","display_name":"Impact of Light on Environment and Health","score":0.972599983215332,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.7092862725257874},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6715059280395508},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6710144877433777},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6699736714363098},{"id":"https://openalex.org/keywords/dusk","display_name":"Dusk","score":0.5854090452194214},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.5731383562088013},{"id":"https://openalex.org/keywords/advanced-driver-assistance-systems","display_name":"Advanced driver assistance systems","score":0.5572625398635864},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5309609174728394},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.4555176794528961},{"id":"https://openalex.org/keywords/state-vector","display_name":"State vector","score":0.428046852350235},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1262984573841095}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7092862725257874},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6715059280395508},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6710144877433777},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6699736714363098},{"id":"https://openalex.org/C85181434","wikidata":"https://www.wikidata.org/wiki/Q11288132","display_name":"Dusk","level":2,"score":0.5854090452194214},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.5731383562088013},{"id":"https://openalex.org/C87833898","wikidata":"https://www.wikidata.org/wiki/Q1060280","display_name":"Advanced driver assistance systems","level":2,"score":0.5572625398635864},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5309609174728394},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.4555176794528961},{"id":"https://openalex.org/C2777798563","wikidata":"https://www.wikidata.org/wiki/Q7603916","display_name":"State vector","level":2,"score":0.428046852350235},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1262984573841095},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icves.2016.7548167","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icves.2016.7548167","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Vehicular Electronics and Safety (ICVES)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.550000011920929,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W800123930","https://openalex.org/W1277998619","https://openalex.org/W1595160143","https://openalex.org/W1613465282","https://openalex.org/W1728034999","https://openalex.org/W1918528393","https://openalex.org/W1973329722","https://openalex.org/W1985441869","https://openalex.org/W1985505457","https://openalex.org/W1996897447","https://openalex.org/W2025623975","https://openalex.org/W2050075133","https://openalex.org/W2051640322","https://openalex.org/W2054599380","https://openalex.org/W2059362318","https://openalex.org/W2071669314","https://openalex.org/W2092444199","https://openalex.org/W2099985368","https://openalex.org/W2100257522","https://openalex.org/W2111619471","https://openalex.org/W2118130966","https://openalex.org/W2130768320","https://openalex.org/W2131548518","https://openalex.org/W2133373265","https://openalex.org/W2135365681","https://openalex.org/W2161460618","https://openalex.org/W2261275022","https://openalex.org/W2273994360","https://openalex.org/W2316500792","https://openalex.org/W6636440544","https://openalex.org/W6679529264"],"related_works":["https://openalex.org/W2383481365","https://openalex.org/W1498953177","https://openalex.org/W2127925854","https://openalex.org/W2163272972","https://openalex.org/W2605929165","https://openalex.org/W2027133560","https://openalex.org/W1968061234","https://openalex.org/W3151437275","https://openalex.org/W2977517636","https://openalex.org/W2810129309"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,12,60,82,96,109],"robust":[4],"approach":[5],"to":[6,22,103,132],"classify":[7,104],"the":[8,24,31,36,50,54,63,76,87,91,101,105,113,120,134,137],"driver":[9,15,40,114],"state":[10,41,107],"in":[11,86,108,123],"novel":[13],"advanced":[14],"assistance":[16],"system":[17],"named":[18],"ShadeVision,":[19],"which":[20,56],"aims":[21],"improve":[23],"driving":[25],"safety":[26],"and":[27,71],"comfort":[28],"by":[29,81],"avoiding":[30],"dazzling":[32,65],"effect.":[33],"Different":[34],"from":[35],"existing":[37],"algorithms":[38],"for":[39,62],"classification,":[42],"our":[43],"proposed":[44,138],"method":[45],"is":[46,79],"capable":[47],"of":[48,53,100,136],"identifying":[49],"\"dazzled":[51],"state\"":[52],"driver,":[55],"can":[57],"function":[58],"as":[59],"supplement":[61],"regular":[64],"detection":[66],"algorithm,":[67],"particularly":[68],"at":[69],"dawn":[70],"dusk.":[72],"To":[73],"this":[74],"end,":[75],"driver's":[77],"head":[78],"captured":[80],"high-speed":[83],"camera":[84],"mounted":[85],"vehicle.":[88],"After":[89],"segmenting":[90],"eye":[92,102,106,121],"region,":[93],"we":[94],"design":[95],"new":[97],"feature":[98],"vector":[99],"single":[110],"frame.":[111],"Afterwards,":[112],"states":[115,122],"are":[116,129],"classified":[117],"based":[118],"on":[119],"successive":[124],"frames.":[125],"Finally,":[126],"on-road":[127],"tests":[128],"carried":[130],"out":[131],"verify":[133],"effectiveness":[135],"algorithm.":[139]},"counts_by_year":[],"updated_date":"2026-05-08T15:41:06.802602","created_date":"2025-10-10T00:00:00"}