{"id":"https://openalex.org/W2896305747","doi":"https://doi.org/10.1109/icci-cc.2018.8482052","title":"Estimation of Drivers \u2018 Awareness of Pedestrians","display_name":"Estimation of Drivers \u2018 Awareness of Pedestrians","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2896305747","doi":"https://doi.org/10.1109/icci-cc.2018.8482052","mag":"2896305747"},"language":"en","primary_location":{"id":"doi:10.1109/icci-cc.2018.8482052","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icci-cc.2018.8482052","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 17th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","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/A5045436760","display_name":"Nobuhiro Mizuno","orcid":"https://orcid.org/0000-0003-1632-8556"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Nobuhiro Mizuno","raw_affiliation_strings":["DENSO IT LABORATORY, INC., Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"DENSO IT LABORATORY, INC., Tokyo, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102294699","display_name":"Akira Yoshizawa","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Akira Yoshizawa","raw_affiliation_strings":["DENSO IT LABORATORY, INC., Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"DENSO IT LABORATORY, INC., Tokyo, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103756893","display_name":"Akihiro HAYASHI","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Akihiro Hayashi","raw_affiliation_strings":["DENSO CORP., Aichi, Japan"],"affiliations":[{"raw_affiliation_string":"DENSO CORP., Aichi, Japan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103729537","display_name":"Takeshi Kawashima","orcid":"https://orcid.org/0000-0002-7926-2948"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Takeshi Kawashima","raw_affiliation_strings":["DENSO CORP., Aichi, Japan"],"affiliations":[{"raw_affiliation_string":"DENSO CORP., Aichi, Japan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5045436760"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.14486457,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"ei00 a","issue":null,"first_page":"381","last_page":"386"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10525","display_name":"Human-Automation Interaction and Safety","score":0.9634000062942505,"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"}},"topics":[{"id":"https://openalex.org/T10525","display_name":"Human-Automation Interaction and Safety","score":0.9634000062942505,"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/T14056","display_name":"Safety Warnings and Signage","score":0.9397000074386597,"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/T10370","display_name":"Traffic and Road Safety","score":0.9203000068664551,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/pedestrian","display_name":"Pedestrian","score":0.9078271389007568},{"id":"https://openalex.org/keywords/gaze","display_name":"Gaze","score":0.7478024959564209},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6284514665603638},{"id":"https://openalex.org/keywords/collision","display_name":"Collision","score":0.5058862566947937},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.4879691004753113},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.47721272706985474},{"id":"https://openalex.org/keywords/pedestrian-crossing","display_name":"Pedestrian crossing","score":0.43179500102996826},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.4192246198654175},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.30701154470443726},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26729702949523926},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.21816468238830566}],"concepts":[{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.9078271389007568},{"id":"https://openalex.org/C2779916870","wikidata":"https://www.wikidata.org/wiki/Q14467155","display_name":"Gaze","level":2,"score":0.7478024959564209},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6284514665603638},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.5058862566947937},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.4879691004753113},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.47721272706985474},{"id":"https://openalex.org/C2777819797","wikidata":"https://www.wikidata.org/wiki/Q8010","display_name":"Pedestrian crossing","level":3,"score":0.43179500102996826},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.4192246198654175},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.30701154470443726},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26729702949523926},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.21816468238830566}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icci-cc.2018.8482052","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icci-cc.2018.8482052","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 17th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.699999988079071,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W598795041","https://openalex.org/W2099507794","https://openalex.org/W2317220508","https://openalex.org/W2594660421","https://openalex.org/W4250194384","https://openalex.org/W6618166606","https://openalex.org/W6664437756","https://openalex.org/W6674997406","https://openalex.org/W6699856522"],"related_works":["https://openalex.org/W2899977359","https://openalex.org/W187110833","https://openalex.org/W1630669003","https://openalex.org/W2905794575","https://openalex.org/W122740207","https://openalex.org/W4388221821","https://openalex.org/W650967530","https://openalex.org/W4390813505","https://openalex.org/W2164690004","https://openalex.org/W1486225309"],"abstract_inverted_index":{"On":[0],"urban":[1,213],"roads,":[2],"25%":[3],"of":[4,24,29,54,66,119,186,203],"all":[5],"car":[6],"accidents":[7,209],"involve":[8],"pedestrians":[9,38,59,211],"who":[10,122,166],"enter":[11],"the":[12,46,67,76,154,169,177,201,205],"roadway.":[13],"Drivers'":[14],"uncertainty":[15],"about":[16],"safety":[17],"and":[18,78,96,114,117,156],"their":[19],"inattentiveness":[20],"account":[21],"for":[22,163],"70%":[23,187],"these":[25],"accidents.":[26],"The":[27,104],"purpose":[28],"this":[30,161],"study":[31],"is":[32,49,64],"to":[33,37,41,58,152,174,190,199,207],"analyze":[34],"drivers'":[35,56],"attention":[36,48,57],"so":[39],"as":[40,100],"give":[42],"an":[43],"alert":[44],"when":[45,71,188],"driver's":[47,82],"insufficient.":[50],"This":[51],"method":[52],"consists":[53],"estimating":[55],"using":[60,127,157],"gaze":[61,83],"information,":[62,110],"which":[63],"90%":[65],"cognitive":[68],"information":[69,74,84,89],"source":[70],"driving;":[72],"operation":[73,102,109],"on":[75,88,145,212],"driver;":[77],"momentary":[79,111],"change.":[80],"A":[81],"was":[85,125,134,193],"estimated":[86],"based":[87],"sensed":[90],"by":[91,137],"a":[92,120,128,139,142,146,150,164,184],"gaze-measuring":[93],"instrument.":[94],"Braking":[95],"accelerating":[97],"were":[98,172,197],"used":[99],"driver":[101,178,206],"information.":[103],"relationship":[105],"between":[106],"gazing":[107],"target,":[108],"change":[112],"amount,":[113],"contact":[115],"with":[116,183,210],"avoidance":[118],"pedestrian":[121,165],"jumped":[123,167],"out":[124,136],"analyzed":[126],"support":[129],"vector":[130],"machine":[131],"(SVM).":[132],"Evaluation":[133],"carried":[135],"preparing":[138],"course":[140],"simulating":[141],"city":[143],"road":[144],"driving":[147],"simulator,":[148],"asking":[149],"subject":[151],"drive":[153],"course,":[155],"that":[158],"data.":[159],"Using":[160],"method,":[162],"into":[168],"roadway,":[170],"we":[171],"able":[173,198],"predict":[175],"whether":[176],"would":[179],"collide":[180],"or":[181],"avoid":[182,208],"probability":[185],"Time":[189],"Collision":[191],"(TTC)":[192],"4":[194],"seconds.":[195],"We":[196],"confirm":[200],"possibility":[202],"alerting":[204],"roads.":[214]},"counts_by_year":[{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}