{"id":"https://openalex.org/W2904465879","doi":"https://doi.org/10.1109/itsc.2018.8569955","title":"Estimation of Driver's Insight for Safe Passing based on Pedestrian Attributes","display_name":"Estimation of Driver's Insight for Safe Passing based on Pedestrian Attributes","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2904465879","doi":"https://doi.org/10.1109/itsc.2018.8569955","mag":"2904465879"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2018.8569955","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2018.8569955","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 21st International Conference on Intelligent Transportation Systems (ITSC)","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/A5000853893","display_name":"Fumito Shinmura","orcid":null},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Fumito Shinmura","raw_affiliation_strings":["Institutes of Innovation for Future Society, Nagoya University, Nagoya, Aichi, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institutes of Innovation for Future Society, Nagoya University, Nagoya, Aichi, Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027960360","display_name":"Yasutomo Kawanishi","orcid":"https://orcid.org/0000-0002-3799-4550"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yasutomo Kawanishi","raw_affiliation_strings":["Graduate School of Informatics, Nagoya University, Nagoya, Aichi, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Informatics, Nagoya University, Nagoya, Aichi, Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054493960","display_name":"Daisuke Deguchi","orcid":"https://orcid.org/0000-0003-0603-8790"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Daisuke Deguchi","raw_affiliation_strings":["Information Strategy Office, Nagoya University, Nagoya, Aichi, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Strategy Office, Nagoya University, Nagoya, Aichi, Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036735172","display_name":"Takatsugu Hirayama","orcid":"https://orcid.org/0000-0001-6290-9680"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takatsugu Hirayama","raw_affiliation_strings":["Institutes of Innovation for Future Society, Nagoya University, Nagoya, Aichi, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institutes of Innovation for Future Society, Nagoya University, Nagoya, Aichi, Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034941095","display_name":"Ichiro Ide","orcid":"https://orcid.org/0000-0003-3942-9296"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ichiro Ide","raw_affiliation_strings":["Graduate School of Informatics, Nagoya University, Nagoya, Aichi, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Informatics, Nagoya University, Nagoya, Aichi, Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085309296","display_name":"Hiroshi Murase","orcid":"https://orcid.org/0000-0002-8103-9294"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroshi Murase","raw_affiliation_strings":["Graduate School of Informatics, Nagoya University, Nagoya, Aichi, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Informatics, Nagoya University, Nagoya, Aichi, Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011810133","display_name":"Hironobu Fujiyoshi","orcid":"https://orcid.org/0000-0001-7391-4725"},"institutions":[{"id":"https://openalex.org/I184937672","display_name":"Chubu University","ror":"https://ror.org/02sps0775","country_code":"JP","type":"education","lineage":["https://openalex.org/I184937672"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hironobu Fujiyoshi","raw_affiliation_strings":["Department of Robotics Science and Technology, Chubu University, Kasugai, Aichi, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Robotics Science and Technology, Chubu University, Kasugai, Aichi, Japan","institution_ids":["https://openalex.org/I184937672"]}]}],"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":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1041","last_page":"1046"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9987999796867371,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9987999796867371,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9986000061035156,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9984999895095825,"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/pedestrian","display_name":"Pedestrian","score":0.9439699053764343},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.67999666929245},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6422532200813293},{"id":"https://openalex.org/keywords/collision","display_name":"Collision","score":0.625054657459259},{"id":"https://openalex.org/keywords/timeline","display_name":"Timeline","score":0.6061922907829285},{"id":"https://openalex.org/keywords/brake","display_name":"Brake","score":0.49545443058013916},{"id":"https://openalex.org/keywords/pedestrian-detection","display_name":"Pedestrian detection","score":0.4920165240764618},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4736515283584595},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4148937463760376},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.3586427867412567},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.31507208943367004},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.23892629146575928},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.0868118405342102}],"concepts":[{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.9439699053764343},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.67999666929245},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6422532200813293},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.625054657459259},{"id":"https://openalex.org/C4438859","wikidata":"https://www.wikidata.org/wiki/Q186117","display_name":"Timeline","level":2,"score":0.6061922907829285},{"id":"https://openalex.org/C2780999251","wikidata":"https://www.wikidata.org/wiki/Q17022503","display_name":"Brake","level":2,"score":0.49545443058013916},{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.4920165240764618},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4736515283584595},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4148937463760376},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.3586427867412567},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.31507208943367004},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.23892629146575928},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.0868118405342102},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc.2018.8569955","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2018.8569955","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 21st International Conference on Intelligent Transportation Systems (ITSC)","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":19,"referenced_works":["https://openalex.org/W1514535095","https://openalex.org/W1533707276","https://openalex.org/W1990707145","https://openalex.org/W2004641798","https://openalex.org/W2031454541","https://openalex.org/W2144060270","https://openalex.org/W2146761391","https://openalex.org/W2296305634","https://openalex.org/W2410968923","https://openalex.org/W2512969578","https://openalex.org/W2592008540","https://openalex.org/W2596322070","https://openalex.org/W2607613081","https://openalex.org/W2791226339","https://openalex.org/W2806837250","https://openalex.org/W2963315052","https://openalex.org/W6630875275","https://openalex.org/W6639461879","https://openalex.org/W6681698271"],"related_works":["https://openalex.org/W1858249912","https://openalex.org/W2114034199","https://openalex.org/W4391249598","https://openalex.org/W2317428717","https://openalex.org/W2734259032","https://openalex.org/W3094038556","https://openalex.org/W2972620127","https://openalex.org/W2899977359","https://openalex.org/W1630669003","https://openalex.org/W2981141433"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,44,65,108,118,130,162],"reduce":[3],"traffic":[4],"accidents":[5],"between":[6],"a":[7,10,14,18,23,30,61,116,141,157,175,188],"vehicle":[8,24,198],"and":[9,37,114,138,199,203],"pedestrian,":[11,142],"recognition":[12],"of":[13,20,95,112,122,140,156,196,208,211],"pedestrian":[15,31,62,92],"who":[16],"has":[17],"possibility":[19],"collision":[21],"with":[22,180],"should":[25],"be":[26,163],"helpful.":[27],"However,":[28],"since":[29],"may":[32],"suddenly":[33],"change":[34,150],"his/her":[35,46],"direction":[36],"cross":[38],"the":[39,53,68,91,100,109,120,123,147,152,154,181,197,201,206,209],"road,":[40],"it":[41],"is":[42,160],"difficult":[43],"predict":[45],"behavior":[47],"directly.":[48],"Here,":[49],"we":[50,98,169],"focus":[51],"on":[52,67,135],"fact":[54],"that":[55],"experienced":[56,84,192],"drivers":[57,127,193],"usually":[58],"pass":[59],"by":[60,106,191],"while":[63],"preparing":[64],"step":[66],"brake":[69],"at":[70],"any":[71],"moment":[72],"when":[73],"they":[74,87],"feel":[75],"danger.":[76],"If":[77],"driver":[78],"assistant":[79],"systems":[80],"can":[81],"estimate":[82,119],"such":[83],"driver's":[85,101,124,148],"decisions,":[86],"could":[88],"early":[89],"detect":[90],"in":[93,166,194],"danger":[94],"collision.":[96],"Therefore,":[97],"classify":[99],"decisions":[102,149],"into":[103],"three":[104],"types":[105],"referring":[107],"accelerator":[110],"operation":[111],"drivers,":[113],"propose":[115,170],"method":[117,173],"type":[121],"decision.":[125],"The":[126],"are":[128],"considered":[129,161],"decide":[131],"their":[132],"actions":[133],"focusing":[134],"various":[136],"behaviors":[137],"states":[139],"namely":[143],"pedestrian's":[144,182,212],"attributes.":[145,213],"Since":[146],"along":[151],"timeline,":[153],"use":[155,210],"temporal":[158],"context":[159],"effective.":[164],"Thus,":[165],"this":[167],"paper,":[168],"an":[171],"estimation":[172],"using":[174],"recurrent":[176],"neural":[177],"network":[178],"architecture":[179],"attributes":[183],"as":[184],"input.":[185],"We":[186],"constructed":[187],"dataset":[189],"collected":[190],"control":[195],"evaluated":[200],"performance,":[202],"then":[204],"confirmed":[205],"effectiveness":[207]},"counts_by_year":[{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
