{"id":"https://openalex.org/W2523137271","doi":"https://doi.org/10.1109/tits.2016.2605163","title":"Tracking and Behavior Reasoning of Moving Vehicles Based on Roadway Geometry Constraints","display_name":"Tracking and Behavior Reasoning of Moving Vehicles Based on Roadway Geometry Constraints","publication_year":2016,"publication_date":"2016-09-23","ids":{"openalex":"https://openalex.org/W2523137271","doi":"https://doi.org/10.1109/tits.2016.2605163","mag":"2523137271"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2016.2605163","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2016.2605163","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-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/A5039992666","display_name":"Kichun Jo","orcid":"https://orcid.org/0000-0003-0543-2198"},"institutions":[{"id":"https://openalex.org/I220619192","display_name":"Valeo (France)","ror":"https://ror.org/04ryqpf83","country_code":"FR","type":"company","lineage":["https://openalex.org/I220619192"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Kichun Jo","raw_affiliation_strings":["Valeo, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Valeo, Paris, France","institution_ids":["https://openalex.org/I220619192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101870427","display_name":"Min-Chul Lee","orcid":"https://orcid.org/0000-0001-5814-9455"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Minchul Lee","raw_affiliation_strings":["Automotive Control and Electronics Laboratory (ACE Lab), Department of Automotive Engineering, Hanyang University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0001-5814-9455","affiliations":[{"raw_affiliation_string":"Automotive Control and Electronics Laboratory (ACE Lab), Department of Automotive Engineering, Hanyang University, Seoul, South Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100636167","display_name":"Junsoo Kim","orcid":"https://orcid.org/0000-0002-3043-5801"},"institutions":[{"id":"https://openalex.org/I49946491","display_name":"Hyundai Motors (South Korea)","ror":"https://ror.org/016kvft77","country_code":"KR","type":"company","lineage":["https://openalex.org/I197312522","https://openalex.org/I49946491"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Junsoo Kim","raw_affiliation_strings":["ADAS Strategy Team, Hyundai Motor Company, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-3043-5801","affiliations":[{"raw_affiliation_string":"ADAS Strategy Team, Hyundai Motor Company, Seoul, South Korea","institution_ids":["https://openalex.org/I49946491"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054452311","display_name":"Myoungho Sunwoo","orcid":"https://orcid.org/0000-0002-3505-6675"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Myoungho Sunwoo","raw_affiliation_strings":["Automotive Control and Electronics Laboratory (ACE Lab), Department of Automotive Engineering, Hanyang University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-3505-6675","affiliations":[{"raw_affiliation_string":"Automotive Control and Electronics Laboratory (ACE Lab), Department of Automotive Engineering, Hanyang University, Seoul, South Korea","institution_ids":["https://openalex.org/I4575257"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5039992666"],"corresponding_institution_ids":["https://openalex.org/I220619192"],"apc_list":null,"apc_paid":null,"fwci":4.7198,"has_fulltext":false,"cited_by_count":88,"citation_normalized_percentile":{"value":0.94746918,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"18","issue":"2","first_page":"460","last_page":"476"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9998999834060669,"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":0.9998999834060669,"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/T10524","display_name":"Traffic control and management","score":0.9991000294685364,"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"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9969000220298767,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6588497161865234},{"id":"https://openalex.org/keywords/advanced-driver-assistance-systems","display_name":"Advanced driver assistance systems","score":0.6307135820388794},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5139195919036865},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5136639475822449},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.49335232377052307},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48359841108322144},{"id":"https://openalex.org/keywords/reasoning-system","display_name":"Reasoning system","score":0.46044620871543884},{"id":"https://openalex.org/keywords/vehicle-tracking-system","display_name":"Vehicle tracking system","score":0.4376770257949829},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4300302267074585},{"id":"https://openalex.org/keywords/vehicle-dynamics","display_name":"Vehicle dynamics","score":0.4228357970714569},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.38351187109947205},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.356577068567276},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3439487814903259},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.326254665851593},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.11196842789649963}],"concepts":[{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6588497161865234},{"id":"https://openalex.org/C87833898","wikidata":"https://www.wikidata.org/wiki/Q1060280","display_name":"Advanced driver assistance systems","level":2,"score":0.6307135820388794},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5139195919036865},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5136639475822449},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.49335232377052307},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48359841108322144},{"id":"https://openalex.org/C89288958","wikidata":"https://www.wikidata.org/wiki/Q7301504","display_name":"Reasoning system","level":2,"score":0.46044620871543884},{"id":"https://openalex.org/C84119951","wikidata":"https://www.wikidata.org/wiki/Q3498530","display_name":"Vehicle tracking system","level":3,"score":0.4376770257949829},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4300302267074585},{"id":"https://openalex.org/C79487989","wikidata":"https://www.wikidata.org/wiki/Q934680","display_name":"Vehicle dynamics","level":2,"score":0.4228357970714569},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.38351187109947205},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.356577068567276},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3439487814903259},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.326254665851593},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.11196842789649963},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2016.2605163","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2016.2605163","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.5600000023841858,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G164891836","display_name":null,"funder_award_id":"2011-0017495","funder_id":"https://openalex.org/F4320322349","funder_display_name":"Ministry of Education, Science and Technology"}],"funders":[{"id":"https://openalex.org/F4320321142","display_name":"Hanyang University","ror":"https://ror.org/046865y68"},{"id":"https://openalex.org/F4320322010","display_name":"Ministry of Land, Infrastructure and Transport","ror":"https://ror.org/04xt5aa77"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320322349","display_name":"Ministry of Education, Science and Technology","ror":"https://ror.org/01p262204"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1968004977","https://openalex.org/W1973122016","https://openalex.org/W1989499286","https://openalex.org/W2010040278","https://openalex.org/W2011369927","https://openalex.org/W2013375980","https://openalex.org/W2023128648","https://openalex.org/W2031031248","https://openalex.org/W2035485812","https://openalex.org/W2095593770","https://openalex.org/W2097545165","https://openalex.org/W2099144460","https://openalex.org/W2099695159","https://openalex.org/W2100138625","https://openalex.org/W2103060758","https://openalex.org/W2106993639","https://openalex.org/W2109951505","https://openalex.org/W2113799686","https://openalex.org/W2114027699","https://openalex.org/W2115642551","https://openalex.org/W2117013956","https://openalex.org/W2117397690","https://openalex.org/W2118202916","https://openalex.org/W2118842576","https://openalex.org/W2125147620","https://openalex.org/W2133013499","https://openalex.org/W2135363148","https://openalex.org/W2145857032","https://openalex.org/W2145989380","https://openalex.org/W2148864882","https://openalex.org/W2149372643","https://openalex.org/W2151992080","https://openalex.org/W2153979314","https://openalex.org/W2157468226","https://openalex.org/W2159021170","https://openalex.org/W2162419813","https://openalex.org/W2164370907","https://openalex.org/W2165064807","https://openalex.org/W2166518725","https://openalex.org/W2170577464","https://openalex.org/W2170836816","https://openalex.org/W2584018760","https://openalex.org/W6679494203","https://openalex.org/W6682971385"],"related_works":["https://openalex.org/W4377081758","https://openalex.org/W3134175566","https://openalex.org/W1580685205","https://openalex.org/W2760382975","https://openalex.org/W3191856393","https://openalex.org/W2349716249","https://openalex.org/W1463864201","https://openalex.org/W2063933439","https://openalex.org/W2033228996","https://openalex.org/W4388820411"],"abstract_inverted_index":{"Tracking":[0],"and":[1,18,37,48,54,68,80,99,119,131,158,167,185,198,203],"behavior":[2,42,69,90,98,120,133,159,186],"reasoning":[3,43,70,121,160,187],"of":[4,15,29,104],"surrounding":[5,31,105],"vehicles":[6,17,32,47,202],"on":[7,26,88,143,190],"a":[8,64],"roadway":[9,109,153,192],"are":[10],"keys":[11],"for":[12,200],"the":[13,30,34,41,45,76,96,101,115,127,132,144,152,156,176,182,191],"development":[14],"automated":[16,46,201],"an":[19],"advanced":[20],"driver":[21,38,81],"assistance":[22],"system":[23,139],"(ADAS).":[24],"Based":[25],"dynamic":[27,78,102,128],"information":[28,147],"from":[33,40],"tracking":[35,67,118,157,184],"algorithm":[36,71,122,164,188],"intentions":[39],"algorithm,":[44],"ADAS":[49,204],"can":[50,73],"predict":[51],"possible":[52],"collisions":[53],"generate":[55],"safe":[56],"motion":[57],"to":[58,94,114,125,150,155],"avoid":[59],"accidents.":[60],"This":[61],"paper":[62],"presents":[63],"unified":[65,116],"vehicle":[66,77,97,117],"that":[72,181],"simultaneously":[74],"estimate":[75,100],"state":[79,103,129],"intentions.":[82],"The":[83,136,162],"multiple":[84],"model":[85],"filter":[86],"based":[87,142,189],"various":[89,172],"models":[91],"was":[92,140,165],"used":[93],"classify":[95],"vehicles.":[106],"In":[107],"addition,":[108],"geometry":[110,154,193],"constraints":[111,194],"were":[112],"applied":[113],"in":[123,148],"order":[124,149],"improve":[126],"estimation":[130],"classification":[134],"performance.":[135],"curvilinear":[137],"coordinate":[138],"constructed":[141],"precise":[145],"map":[146],"apply":[151],"algorithm.":[161],"proposed":[163],"verified":[166],"evaluated":[168],"through":[169],"experiments":[170],"under":[171],"test":[173],"scenarios.":[174],"From":[175],"experimental":[177],"results,":[178],"we":[179],"concluded":[180],"presented":[183],"provides":[195],"sufficient":[196],"accuracy":[197],"reliability":[199],"applications.":[205]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":18},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
