{"id":"https://openalex.org/W2790483871","doi":"https://doi.org/10.1109/itsc.2017.8317933","title":"Behavioral trajectory planning for motion planning in urban environments","display_name":"Behavioral trajectory planning for motion planning in urban environments","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2790483871","doi":"https://doi.org/10.1109/itsc.2017.8317933","mag":"2790483871"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2017.8317933","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2017.8317933","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 20th 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":null,"display_name":"Wonteak Lim","orcid":null},"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":"Wonteak Lim","raw_affiliation_strings":["Automotive Engineering Hanyang University, Seoul, Korea","[Automotive Engineering, Hanyang University, Seoul, Korea]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Automotive Engineering Hanyang University, Seoul, Korea","institution_ids":["https://openalex.org/I4575257"]},{"raw_affiliation_string":"[Automotive Engineering, Hanyang University, Seoul, Korea]","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026149237","display_name":"Seongjin Lee","orcid":"https://orcid.org/0000-0003-0760-1880"},"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":"Seongjin Lee","raw_affiliation_strings":["Automotive Engineering Hanyang University, Seoul, Korea","[Automotive Engineering, Hanyang University, Seoul, Korea]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Automotive Engineering Hanyang University, Seoul, Korea","institution_ids":["https://openalex.org/I4575257"]},{"raw_affiliation_string":"[Automotive Engineering, Hanyang University, Seoul, Korea]","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"middle","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":false,"raw_author_name":"Kichun Jo","raw_affiliation_strings":["Driving Assistance Research Valeo, Paris, France","[Driving Assistance Research, Valeo, Paris, France]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Driving Assistance Research Valeo, Paris, France","institution_ids":["https://openalex.org/I220619192"]},{"raw_affiliation_string":"[Driving Assistance Research, Valeo, Paris, France]","institution_ids":["https://openalex.org/I220619192"]}]},{"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 Engineering Hanyang University, Seoul, Korea","[Automotive Engineering, Hanyang University, Seoul, Korea]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Automotive Engineering Hanyang University, Seoul, Korea","institution_ids":["https://openalex.org/I4575257"]},{"raw_affiliation_string":"[Automotive Engineering, Hanyang University, Seoul, Korea]","institution_ids":["https://openalex.org/I4575257"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1592,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.55932536,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"515","last_page":"521"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9998999834060669,"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9998999834060669,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9997000098228455,"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":0.9861999750137329,"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/trajectory","display_name":"Trajectory","score":0.8856959342956543},{"id":"https://openalex.org/keywords/planner","display_name":"Planner","score":0.7142534852027893},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.6951318979263306},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6935746669769287},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5785828232765198},{"id":"https://openalex.org/keywords/trajectory-optimization","display_name":"Trajectory optimization","score":0.4995403289794922},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4760879576206207},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3340202271938324},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31960025429725647},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.2285166084766388},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08117637038230896}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.8856959342956543},{"id":"https://openalex.org/C2776999362","wikidata":"https://www.wikidata.org/wiki/Q2349274","display_name":"Planner","level":2,"score":0.7142534852027893},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.6951318979263306},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6935746669769287},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5785828232765198},{"id":"https://openalex.org/C173246807","wikidata":"https://www.wikidata.org/wiki/Q7833062","display_name":"Trajectory optimization","level":3,"score":0.4995403289794922},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4760879576206207},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3340202271938324},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31960025429725647},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.2285166084766388},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08117637038230896},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc.2017.8317933","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2017.8317933","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 20th 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":0.8399999737739563,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1996183429","https://openalex.org/W2000140632","https://openalex.org/W2004815408","https://openalex.org/W2011053498","https://openalex.org/W2023128648","https://openalex.org/W2066716837","https://openalex.org/W2087366641","https://openalex.org/W2091392553","https://openalex.org/W2107338474","https://openalex.org/W2121806728","https://openalex.org/W2134765105","https://openalex.org/W2144293566","https://openalex.org/W2148361676","https://openalex.org/W2152422164","https://openalex.org/W2154844948","https://openalex.org/W2164053801","https://openalex.org/W2293313346","https://openalex.org/W2306644740","https://openalex.org/W2343568200","https://openalex.org/W2406067508","https://openalex.org/W4293682399"],"related_works":["https://openalex.org/W4385832323","https://openalex.org/W2356996864","https://openalex.org/W4244391535","https://openalex.org/W2015393961","https://openalex.org/W2904060783","https://openalex.org/W2378339670","https://openalex.org/W2101105382","https://openalex.org/W2359353485","https://openalex.org/W2139910871","https://openalex.org/W2361427670"],"abstract_inverted_index":{"This":[0,77],"paper":[1],"presents":[2],"a":[3,66,71,83,93,99,104,113,118],"behavioral":[4,61],"trajectory":[5,50,62,68,96],"planning":[6,10,51,63],"for":[7,82,117],"efficient":[8],"motion":[9],"in":[11,18],"urban":[12,129],"environments.":[13],"For":[14],"the":[15],"autonomous":[16],"driving":[17,25,84],"these":[19,45],"environments,":[20],"there":[21],"are":[22,46],"various":[23],"complicated":[24],"situations":[26],"because":[27],"of":[28,31,74],"many":[29],"combinations":[30],"road":[32],"types,":[33],"multiple":[34],"lanes,":[35],"traffic":[36,90],"rules,":[37],"and":[38,40,89,126],"static":[39],"dynamic":[41],"obstacles.":[42],"Moreover,":[43],"since":[44],"changed":[47],"dynamically,":[48],"real-time":[49],"is":[52],"more":[53],"intricate.":[54],"To":[55,107],"overcome":[56],"this":[57,95,109],"problem,":[58],"we":[59,111],"proposed":[60,122],"which":[64],"generates":[65],"macro-scale":[67],"to":[69,102],"define":[70],"spatiotemporal":[72],"boundary":[73],"vehicle":[75],"motion.":[76],"planner":[78],"focuses":[79],"on":[80],"searching":[81,100],"maneuver":[85],"considering":[86],"lane":[87],"structure":[88],"flow.":[91],"As":[92],"result,":[94],"can":[97],"reduce":[98],"area":[101],"generate":[103],"motion-level":[105],"trajectory.":[106,120],"utilize":[108],"advantages,":[110],"apply":[112],"numerical":[114],"optimization":[115],"method":[116],"local":[119],"The":[121],"algorithm":[123],"was":[124],"implemented":[125],"evaluated":[127],"by":[128],"scenarios.":[130]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}