{"id":"https://openalex.org/W4312936775","doi":"https://doi.org/10.1109/dasc/picom/cbdcom/cy55231.2022.9927963","title":"Design of a Vision Blind Spot Detection System Based on Depth Camera","display_name":"Design of a Vision Blind Spot Detection System Based on Depth Camera","publication_year":2022,"publication_date":"2022-09-12","ids":{"openalex":"https://openalex.org/W4312936775","doi":"https://doi.org/10.1109/dasc/picom/cbdcom/cy55231.2022.9927963"},"language":"en","primary_location":{"id":"doi:10.1109/dasc/picom/cbdcom/cy55231.2022.9927963","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dasc/picom/cbdcom/cy55231.2022.9927963","pdf_url":null,"source":{"id":"https://openalex.org/S4363605495","display_name":"2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)","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":"2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)","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/A5100729840","display_name":"Zijun Wang","orcid":"https://orcid.org/0000-0002-3512-3102"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Zijun Wang","raw_affiliation_strings":["Waseda University,Graduate School of Human Sciences,Tokorozawa,Japan","Graduate School of Human Sciences, Waseda University, Tokorozawa, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Waseda University,Graduate School of Human Sciences,Tokorozawa,Japan","institution_ids":["https://openalex.org/I150744194"]},{"raw_affiliation_string":"Graduate School of Human Sciences, Waseda University, Tokorozawa, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061363755","display_name":"Qun Jin","orcid":"https://orcid.org/0000-0002-1325-4275"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Qun Jin","raw_affiliation_strings":["Waseda University,Graduate School of Human Sciences,Tokorozawa,Japan","Graduate School of Human Sciences, Waseda University, Tokorozawa, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Waseda University,Graduate School of Human Sciences,Tokorozawa,Japan","institution_ids":["https://openalex.org/I150744194"]},{"raw_affiliation_string":"Graduate School of Human Sciences, Waseda University, Tokorozawa, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025524029","display_name":"Bo Wu","orcid":"https://orcid.org/0000-0002-1971-595X"},"institutions":[{"id":"https://openalex.org/I148798404","display_name":"Tokyo University of Technology","ror":"https://ror.org/021a26605","country_code":"JP","type":"education","lineage":["https://openalex.org/I148798404"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Bo Wu","raw_affiliation_strings":["Tokyo University of Technology,School of Computer Science,Hachioji,Japan","School of Computer Science, Tokyo University of Technology, Hachioji, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo University of Technology,School of Computer Science,Hachioji,Japan","institution_ids":["https://openalex.org/I148798404"]},{"raw_affiliation_string":"School of Computer Science, Tokyo University of Technology, Hachioji, Japan","institution_ids":["https://openalex.org/I148798404"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13869","display_name":"Ocular and Laser Science Research","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/2731","display_name":"Ophthalmology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9866999983787537,"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/blind-spot","display_name":"Blind spot","score":0.7798272371292114},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7408080697059631},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.698074996471405},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6711275577545166},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5567820072174072},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.43942737579345703},{"id":"https://openalex.org/keywords/machine-vision","display_name":"Machine vision","score":0.4318738579750061},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2367475926876068},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.15044766664505005}],"concepts":[{"id":"https://openalex.org/C64731932","wikidata":"https://www.wikidata.org/wiki/Q371090","display_name":"Blind spot","level":2,"score":0.7798272371292114},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7408080697059631},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.698074996471405},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6711275577545166},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5567820072174072},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.43942737579345703},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.4318738579750061},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2367475926876068},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.15044766664505005}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dasc/picom/cbdcom/cy55231.2022.9927963","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dasc/picom/cbdcom/cy55231.2022.9927963","pdf_url":null,"source":{"id":"https://openalex.org/S4363605495","display_name":"2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)","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":"2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2793604749","https://openalex.org/W3097274333","https://openalex.org/W3115608750","https://openalex.org/W4250024815","https://openalex.org/W6784976477"],"related_works":["https://openalex.org/W3018571661","https://openalex.org/W4247992781","https://openalex.org/W2994432938","https://openalex.org/W967069407","https://openalex.org/W2319356265","https://openalex.org/W83504689","https://openalex.org/W2280239469","https://openalex.org/W2679108175","https://openalex.org/W1999153596","https://openalex.org/W3173470621"],"abstract_inverted_index":{"Nowadays,":[0],"according":[1],"to":[2,26,47,105,116,179,201],"the":[3,30,55,62,84,150,157,164,177,202],"report":[4],"of":[5,22,32,140,166,204],"world":[6],"health":[7],"organization,":[8],"about":[9],"1.35":[10],"million":[11],"people":[12],"die":[13],"in":[14,28,58,61,68],"traffic":[15,206],"accidents":[16,33],"every":[17],"year.":[18],"Among":[19],"them,":[20],"because":[21],"it":[23,44],"is":[24,38,45,146],"difficult":[25],"predict":[27],"advance,":[29],"frequency":[31],"caused":[34,108],"by":[35,109,148],"blind":[36,66,85,142,170,193],"spots":[37,67,171,194],"relatively":[39],"high,":[40],"which":[41,59],"means":[42],"that":[43,51],"necessary":[46],"design":[48,139],"a":[49,118,137,190],"system":[50,145,162,184],"can":[52,174,199],"efficiently":[53],"detect":[54],"target":[56],"situations":[57],"drivers":[60,180],"area":[63],"may":[64],"have":[65,90],"their":[69],"vision.":[70],"Some":[71],"existing":[72],"methods,":[73],"such":[74,94],"as":[75,95],"vehicle-mounted":[76],"radar":[77],"and":[78,99,127,154,173,181],"pressure":[79],"sensor":[80],"are":[81],"used":[82],"for":[83],"spots'":[86],"detection.":[87],"However,":[88],"they":[89],"some":[91],"unresolved":[92],"issues":[93],"insufficient":[96,110],"detection":[97,129,144],"distance":[98,151],"limit":[100],"excessive":[101],"setting":[102],"position.":[103],"Therefore,":[104],"prevent":[106],"misjudgment":[107],"information":[111],"acquisition,":[112],"this":[113],"paper":[114],"tries":[115],"present":[117],"multi-level":[119],"object":[120],"identification":[121],"model":[122],"based":[123],"on":[124,135],"face/object":[125],"recognition":[126],"depth":[128,132,158],"technologies":[130],"via":[131,156],"camera.":[133,159],"Based":[134],"this,":[136],"new":[138,191],"vision":[141,169,192],"spot":[143],"proposed":[147,161],"calculate":[149],"between":[152],"human":[153],"vehicles":[155],"The":[160],"has":[163],"function":[165],"determine":[167],"whether":[168],"exist":[172],"quickly":[175],"feedback":[176],"situation":[178],"pedestrians.":[182],"This":[183],"will":[185],"not":[186],"only":[187],"put":[188],"forward":[189],"determination":[195],"method,":[196],"but":[197],"also":[198],"contribute":[200],"research":[203],"public":[205],"accident":[207],"prevention.":[208]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}