{"id":"https://openalex.org/W3116636888","doi":"https://doi.org/10.1109/itsc45102.2020.9294381","title":"RECUP Net: RECUrsive Prediction Network for Surrounding Vehicle Trajectory Prediction with Future Trajectory Feedback","display_name":"RECUP Net: RECUrsive Prediction Network for Surrounding Vehicle Trajectory Prediction with Future Trajectory Feedback","publication_year":2020,"publication_date":"2020-09-20","ids":{"openalex":"https://openalex.org/W3116636888","doi":"https://doi.org/10.1109/itsc45102.2020.9294381","mag":"3116636888"},"language":"en","primary_location":{"id":"doi:10.1109/itsc45102.2020.9294381","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc45102.2020.9294381","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 23rd 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/A5032573421","display_name":"Sanmin Kim","orcid":"https://orcid.org/0000-0002-4042-6570"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]},{"id":"https://openalex.org/I4210132214","display_name":"Green Technology Center","ror":"https://ror.org/03g03dn68","country_code":"KR","type":"other","lineage":["https://openalex.org/I2801339556","https://openalex.org/I4210132214","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sanmin Kim","raw_affiliation_strings":["Graduate School for Green Transportation, KAIST, Daejeon, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School for Green Transportation, KAIST, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I4210132214","https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091555350","display_name":"Dongsuk Kum","orcid":"https://orcid.org/0000-0002-2590-4845"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]},{"id":"https://openalex.org/I4210132214","display_name":"Green Technology Center","ror":"https://ror.org/03g03dn68","country_code":"KR","type":"other","lineage":["https://openalex.org/I2801339556","https://openalex.org/I4210132214","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dongsuk Kum","raw_affiliation_strings":["Graduate School for Green Transportation, KAIST, Daejeon, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School for Green Transportation, KAIST, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I4210132214","https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102839991","display_name":"Jun Won Choi","orcid":"https://orcid.org/0000-0002-3733-0148"},"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":"Jun won Choi","raw_affiliation_strings":["Hanyang University, Seoul Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hanyang University, Seoul Republic of Korea","institution_ids":["https://openalex.org/I4575257"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3244,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.80970076,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":1.0,"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":1.0,"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/T10370","display_name":"Traffic and Road Safety","score":0.9962000250816345,"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"}},{"id":"https://openalex.org/T10525","display_name":"Human-Automation Interaction and Safety","score":0.9944000244140625,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.772361695766449},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.7400499582290649},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5605016946792603},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5223827958106995},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5091258883476257},{"id":"https://openalex.org/keywords/iterated-function","display_name":"Iterated function","score":0.48283466696739197},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46403053402900696},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4437626004219055},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.41525799036026},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11349374055862427}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.772361695766449},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.7400499582290649},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5605016946792603},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5223827958106995},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5091258883476257},{"id":"https://openalex.org/C140479938","wikidata":"https://www.wikidata.org/wiki/Q5254619","display_name":"Iterated function","level":2,"score":0.48283466696739197},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46403053402900696},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4437626004219055},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.41525799036026},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11349374055862427},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc45102.2020.9294381","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc45102.2020.9294381","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.800000011920929,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320324161","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W2038705758","https://openalex.org/W2055556996","https://openalex.org/W2058570191","https://openalex.org/W2084835622","https://openalex.org/W2097545165","https://openalex.org/W2101545882","https://openalex.org/W2104806250","https://openalex.org/W2109322262","https://openalex.org/W2133564696","https://openalex.org/W2153323685","https://openalex.org/W2302086703","https://openalex.org/W2424778531","https://openalex.org/W2739974901","https://openalex.org/W2766836212","https://openalex.org/W2772194428","https://openalex.org/W2773275097","https://openalex.org/W2896053418","https://openalex.org/W2897440557","https://openalex.org/W2899771611","https://openalex.org/W2905301806","https://openalex.org/W2940129212","https://openalex.org/W2951527505","https://openalex.org/W2962687116","https://openalex.org/W2963001155","https://openalex.org/W2963309363","https://openalex.org/W2963353290","https://openalex.org/W2963906196","https://openalex.org/W2963914175","https://openalex.org/W2967078791","https://openalex.org/W2968531716","https://openalex.org/W6679434410","https://openalex.org/W6682137061","https://openalex.org/W6747971328","https://openalex.org/W6756040250"],"related_works":["https://openalex.org/W3103325625","https://openalex.org/W4323768008","https://openalex.org/W1941703695","https://openalex.org/W1486898455","https://openalex.org/W3131574667","https://openalex.org/W4390516098","https://openalex.org/W4360995134","https://openalex.org/W4248382324","https://openalex.org/W3023605104","https://openalex.org/W2101105382"],"abstract_inverted_index":{"In":[0,52,74],"order":[1],"to":[2,16,113,125,141,160],"predict":[3],"the":[4,10,18,32,42,46,49,60,88,111,117,129,136,148,152,161,165,175,180],"behavior":[5],"of":[6,23,26,31,95,128],"human":[7,27,54],"drivers":[8,55],"accurately,":[9],"autonomous":[11],"vehicle":[12],"should":[13],"be":[14,103],"able":[15],"understand":[17],"reasoning":[19],"and":[20,38,132,135,168],"decision":[21],"process":[22],"motion":[24,62],"generation":[25],"drivers.":[28],"However,":[29],"most":[30],"conventional":[33],"prediction":[34,43,84,91,97,156],"methods":[35],"overlook":[36],"this":[37,75],"focus":[39],"on":[40,59,164],"improving":[41],"results":[44,92,119,146,157,176],"using":[45],"given":[47],"data,":[48],"historical":[50,61,130],"information.":[51],"contrast,":[53],"not":[56],"only":[57],"depend":[58],"but":[63],"also":[64],"consider":[65],"future":[66,90,133],"predictions":[67],"when":[68],"handling":[69],"interactions":[70],"with":[71,147],"other":[72],"vehicles.":[73],"paper,":[76],"we":[77,172],"propose":[78],"a":[79,106],"novel":[80],"recursive":[81,153],"RNN":[82],"encoder-decoder":[83],"model":[85,112,181],"that":[86,174],"takes":[87],"initial":[89],"as":[93,105,179],"inputs":[94],"second":[96],"computation.":[98],"This":[99],"feedback":[100],"mechanism":[101,138],"can":[102],"interpreted":[104],"network":[107],"sharing,":[108],"which":[109],"allows":[110],"refine":[114],"or":[115],"correct":[116],"predicted":[118],"iteratively.":[120],"We":[121],"use":[122],"two":[123],"encoders":[124],"analyze":[126],"both":[127],"information":[131],"information,":[134],"attention":[137],"is":[139],"employed":[140],"interpret":[142],"interaction.":[143],"Our":[144],"experimental":[145],"NGSIM":[149],"dataset":[150],"demonstrate":[151],"structure":[154],"enhances":[155],"effectively":[158],"compare":[159],"baselines":[162],"based":[163],"ablation":[166],"study":[167],"state-of-the-art":[169],"methods.":[170],"Furthermore,":[171],"observe":[173],"improve":[177],"successively":[178],"iterates.":[182]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}