{"id":"https://openalex.org/W4400647277","doi":"https://doi.org/10.1109/iv55156.2024.10588698","title":"Vectorized Representation Dreamer (VRD): Dreaming-Assisted Multi-Agent Motion Forecasting","display_name":"Vectorized Representation Dreamer (VRD): Dreaming-Assisted Multi-Agent Motion Forecasting","publication_year":2024,"publication_date":"2024-06-02","ids":{"openalex":"https://openalex.org/W4400647277","doi":"https://doi.org/10.1109/iv55156.2024.10588698"},"language":"en","primary_location":{"id":"doi:10.1109/iv55156.2024.10588698","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv55156.2024.10588698","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Intelligent Vehicles Symposium (IV)","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/A5063275464","display_name":"Hunter Schofield","orcid":"https://orcid.org/0000-0002-0647-1300"},"institutions":[{"id":"https://openalex.org/I4210115038","display_name":"Huawei Technologies (Canada)","ror":"https://ror.org/026venb53","country_code":"CA","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210115038"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Hunter Schofield","raw_affiliation_strings":["Huawei Technologies,Noah’s Ark Lab,Canada"],"affiliations":[{"raw_affiliation_string":"Huawei Technologies,Noah’s Ark Lab,Canada","institution_ids":["https://openalex.org/I4210115038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5095848509","display_name":"Hamidreza Mirkhani","orcid":null},"institutions":[{"id":"https://openalex.org/I4210115038","display_name":"Huawei Technologies (Canada)","ror":"https://ror.org/026venb53","country_code":"CA","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210115038"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Hamidreza Mirkhani","raw_affiliation_strings":["Huawei Technologies,Noah’s Ark Lab,Canada"],"affiliations":[{"raw_affiliation_string":"Huawei Technologies,Noah’s Ark Lab,Canada","institution_ids":["https://openalex.org/I4210115038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000554621","display_name":"Mohammed Elmahgiubi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210115038","display_name":"Huawei Technologies (Canada)","ror":"https://ror.org/026venb53","country_code":"CA","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210115038"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mohammed Elmahgiubi","raw_affiliation_strings":["Huawei Technologies,Noah’s Ark Lab,Canada"],"affiliations":[{"raw_affiliation_string":"Huawei Technologies,Noah’s Ark Lab,Canada","institution_ids":["https://openalex.org/I4210115038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078758172","display_name":"Kasra Rezaee","orcid":null},"institutions":[{"id":"https://openalex.org/I4210115038","display_name":"Huawei Technologies (Canada)","ror":"https://ror.org/026venb53","country_code":"CA","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210115038"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Kasra Rezaee","raw_affiliation_strings":["Huawei Technologies,Noah’s Ark Lab,Canada"],"affiliations":[{"raw_affiliation_string":"Huawei Technologies,Noah’s Ark Lab,Canada","institution_ids":["https://openalex.org/I4210115038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071093853","display_name":"Jinjun Shan","orcid":"https://orcid.org/0000-0002-4911-6739"},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jinjun Shan","raw_affiliation_strings":["York University"],"affiliations":[{"raw_affiliation_string":"York University","institution_ids":["https://openalex.org/I192455969"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5063275464"],"corresponding_institution_ids":["https://openalex.org/I4210115038"],"apc_list":null,"apc_paid":null,"fwci":0.3735,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.53531081,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"2012","last_page":"2017"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9797999858856201,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9797999858856201,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9491999745368958,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/computer-science","display_name":"Computer science","score":0.6092065572738647},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.592929482460022},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5697444081306458},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5180411338806152},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4088604748249054},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3452926278114319},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.0798799991607666},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.07939141988754272}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6092065572738647},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.592929482460022},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5697444081306458},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5180411338806152},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4088604748249054},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3452926278114319},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0798799991607666},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.07939141988754272},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iv55156.2024.10588698","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv55156.2024.10588698","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Intelligent Vehicles Symposium (IV)","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":44,"referenced_works":["https://openalex.org/W1583837637","https://openalex.org/W2167224731","https://openalex.org/W2580495915","https://openalex.org/W2607296803","https://openalex.org/W2905173465","https://openalex.org/W2980087597","https://openalex.org/W2989847975","https://openalex.org/W2995298643","https://openalex.org/W3000520642","https://openalex.org/W3034722190","https://openalex.org/W3035054225","https://openalex.org/W3035574168","https://openalex.org/W3108486966","https://openalex.org/W3118210634","https://openalex.org/W3118240751","https://openalex.org/W3122690883","https://openalex.org/W3156216502","https://openalex.org/W3157893055","https://openalex.org/W3171077607","https://openalex.org/W4285597701","https://openalex.org/W4310895557","https://openalex.org/W4312270460","https://openalex.org/W4312731878","https://openalex.org/W4360993665","https://openalex.org/W4383108225","https://openalex.org/W4386076672","https://openalex.org/W4389666601","https://openalex.org/W4390873034","https://openalex.org/W4392223123","https://openalex.org/W6640174482","https://openalex.org/W6684338915","https://openalex.org/W6741832191","https://openalex.org/W6755742144","https://openalex.org/W6768870957","https://openalex.org/W6771217966","https://openalex.org/W6773443883","https://openalex.org/W6782468546","https://openalex.org/W6783988234","https://openalex.org/W6794667414","https://openalex.org/W6796929002","https://openalex.org/W6801880476","https://openalex.org/W6839932081","https://openalex.org/W6845636941","https://openalex.org/W6861527734"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"For":[0],"an":[1],"autonomous":[2],"vehicle":[3],"to":[4,15,36,71,98,133],"plan":[5],"a":[6,66,80,86,94],"path":[7],"in":[8,24,33],"its":[9,25],"environment,":[10],"it":[11],"must":[12],"be":[13],"able":[14],"accurately":[16],"forecast":[17],"the":[18,34,46,49,54,58,72,100,107,110,120,128,135,147,154,163,167],"trajectory":[19,101],"of":[20,48,57,102,109,137],"all":[21,103],"dynamic":[22],"objects":[23],"proximity.":[26],"While":[27],"many":[28],"traditional":[29,81],"methods":[30],"encode":[31],"observations":[32],"scene":[35],"solve":[37],"this":[38,61],"problem,":[39],"there":[40],"are":[41,117],"few":[42],"approaches":[43],"that":[44,92],"consider":[45],"effect":[47],"ego":[50,111],"vehicle\u2019s":[51],"behavior":[52],"on":[53,106,119,146,153,160],"future":[55],"state":[56],"world.":[59],"In":[60],"paper,":[62],"we":[63],"introduce":[64],"VRD,":[65],"vectorized":[67],"world":[68],"model-inspired":[69],"approach":[70],"multi-agent":[73],"motion":[74],"forecasting":[75,124],"problem.":[76],"Our":[77,141],"method":[78],"combines":[79],"open-loop":[82],"training":[83,90],"regime":[84],"with":[85,162],"novel":[87],"dreamed":[88],"closed-loop":[89],"pipeline":[91],"leverages":[93],"kinematic":[95],"reconstruction":[96],"task":[97],"imagine":[99],"agents,":[104],"conditioned":[105],"action":[108],"vehicle.":[112],"Quantitative":[113],"and":[114,127,158],"qualitative":[115],"experiments":[116],"conducted":[118],"Argoverse":[121,155],"2":[122,156],"multi-world":[123],"evaluation":[125],"dataset":[126,132,157],"intersection":[129],"drone":[130],"(inD)":[131],"demonstrate":[134],"performance":[136,145],"our":[138],"proposed":[139],"model.":[140],"model":[142],"achieves":[143],"state-of-the-art":[144],"single":[148,168],"prediction":[149,169],"miss":[150],"rate":[151],"metric":[152],"performs":[159],"par":[161],"leading":[164],"models":[165],"for":[166],"displacement":[170],"metrics.":[171]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}