{"id":"https://openalex.org/W2565964811","doi":"https://doi.org/10.1109/itsc.2016.7795648","title":"Motion planning based on learning models of pedestrian and driver behaviors","display_name":"Motion planning based on learning models of pedestrian and driver behaviors","publication_year":2016,"publication_date":"2016-11-01","ids":{"openalex":"https://openalex.org/W2565964811","doi":"https://doi.org/10.1109/itsc.2016.7795648","mag":"2565964811"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2016.7795648","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2016.7795648","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC)","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/A5070068490","display_name":"Yanlei Gu","orcid":"https://orcid.org/0000-0001-9708-7429"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yanlei Gu","raw_affiliation_strings":["University of Tokyo, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110000979","display_name":"Yoriyoshi Hashimoto","orcid":null},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoriyoshi Hashimoto","raw_affiliation_strings":["University of Tokyo, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044957601","display_name":"Li\u2010Ta Hsu","orcid":"https://orcid.org/0000-0002-0352-741X"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Li-Ta Hsu","raw_affiliation_strings":["University of Tokyo, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109244048","display_name":"Shunsuke Kamijo","orcid":null},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shunsuke Kamijo","raw_affiliation_strings":["University of Tokyo, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I74801974"],"apc_list":null,"apc_paid":null,"fwci":1.0522,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.821882,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"808","last_page":"813"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/intersection","display_name":"Intersection (aeronautics)","score":0.7928120493888855},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.749979555606842},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6039475798606873},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5754351615905762},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.5277702808380127},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.49288153648376465},{"id":"https://openalex.org/keywords/advanced-driver-assistance-systems","display_name":"Advanced driver assistance systems","score":0.47427281737327576},{"id":"https://openalex.org/keywords/human-motion","display_name":"Human motion","score":0.44016724824905396},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.4040662348270416},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38707518577575684},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3269539475440979},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.32680708169937134},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3025239109992981},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.1899988055229187}],"concepts":[{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.7928120493888855},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.749979555606842},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6039475798606873},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5754351615905762},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.5277702808380127},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.49288153648376465},{"id":"https://openalex.org/C87833898","wikidata":"https://www.wikidata.org/wiki/Q1060280","display_name":"Advanced driver assistance systems","level":2,"score":0.47427281737327576},{"id":"https://openalex.org/C2986578859","wikidata":"https://www.wikidata.org/wiki/Q657632","display_name":"Human motion","level":3,"score":0.44016724824905396},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.4040662348270416},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38707518577575684},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3269539475440979},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.32680708169937134},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3025239109992981},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.1899988055229187}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc.2016.7795648","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2016.7795648","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.75,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320315966","display_name":"Tateisi Science and Technology Foundation","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W608915684","https://openalex.org/W761274143","https://openalex.org/W1482889919","https://openalex.org/W1486668472","https://openalex.org/W1520813427","https://openalex.org/W1577690374","https://openalex.org/W1951211040","https://openalex.org/W1961245208","https://openalex.org/W1991472437","https://openalex.org/W2005392428","https://openalex.org/W2010256323","https://openalex.org/W2011118977","https://openalex.org/W2022189869","https://openalex.org/W2058570191","https://openalex.org/W2061432680","https://openalex.org/W2066599595","https://openalex.org/W2097545165","https://openalex.org/W2101125181","https://openalex.org/W2112081839","https://openalex.org/W2130632867","https://openalex.org/W2135142117","https://openalex.org/W2151782772","https://openalex.org/W2161227658","https://openalex.org/W2209239367","https://openalex.org/W2291379690","https://openalex.org/W6618780517","https://openalex.org/W6622275115","https://openalex.org/W6628861784","https://openalex.org/W6631209646"],"related_works":["https://openalex.org/W2392100589","https://openalex.org/W2512789322","https://openalex.org/W2101960027","https://openalex.org/W2197846993","https://openalex.org/W49697837","https://openalex.org/W2586575957","https://openalex.org/W3122828758","https://openalex.org/W2170799233","https://openalex.org/W2768112316","https://openalex.org/W4205958986"],"abstract_inverted_index":{"Autonomous":[0],"driving":[1,16],"has":[2],"shown":[3],"the":[4,28,36,52,76,82,110,124,127,132,138,160,165,169,175,185],"capability":[5],"of":[6,51,78,93,112,126,134,140],"providing":[7],"driver":[8],"convenience":[9],"and":[10,99,143,174],"enhancing":[11],"safety.":[12],"While":[13],"introducing":[14],"autonomous":[15,29,49],"into":[17],"our":[18,135,151],"current":[19],"traffic":[20,79,118],"system,":[21],"one":[22],"significant":[23],"issue":[24],"is":[25],"to":[26,33,45,184],"make":[27],"vehicle":[30,50,63,100,166,178],"be":[31],"able":[32],"react":[34],"in":[35,81,188],"same":[37],"way":[38],"as":[39],"real":[40,83,117,141],"human":[41,57,144],"drivers.":[42,145],"In":[43],"order":[44],"ensure":[46],"that":[47,150],"an":[48],"future":[53],"will":[54],"perform":[55],"like":[56],"drivers,":[58],"this":[59,121],"paper":[60,122],"proposes":[61],"a":[62],"motion":[64,88,171],"planning":[65,89,172],"model,":[66],"which":[67],"can":[68,154],"represent":[69],"how":[70],"drivers":[71],"control":[72],"vehicles":[73],"based":[74,108],"on":[75,109],"assessment":[77],"environments":[80],"signalized":[84],"intersection.":[85],"The":[86,103,146],"proposed":[87,128,152,170],"model":[90,136,153,173],"comprises":[91],"functions":[92,105],"pedestrian":[94,161],"intention":[95],"detection,":[96],"gap":[97,186],"detection":[98],"dynamic":[101],"control.":[102],"three":[104],"are":[106,179],"constructed":[107],"analysis":[111],"actual":[113,176],"data":[114],"collected":[115],"from":[116],"environments.":[119],"Finally,":[120],"demonstrates":[123],"performance":[125],"method":[129],"by":[130,168],"comparing":[131],"behaviors":[133,139],"with":[137,182],"pedestrians":[142],"experimental":[147],"results":[148],"show":[149],"achieve":[155],"85%":[156],"recognition":[157],"rate":[158],"for":[159],"crossing":[162],"intention.":[163],"Moreover,":[164],"controlled":[167],"human-driven":[177],"highly":[180],"similar":[181],"respect":[183],"acceptance":[187],"intersections.":[189]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
