{"id":"https://openalex.org/W4400649809","doi":"https://doi.org/10.1109/iv55156.2024.10588579","title":"Enhanced Multimodal Trajectory Prediction for Autonomous Vehicles Using Advanced Diffusion Model Techniques","display_name":"Enhanced Multimodal Trajectory Prediction for Autonomous Vehicles Using Advanced Diffusion Model Techniques","publication_year":2024,"publication_date":"2024-06-02","ids":{"openalex":"https://openalex.org/W4400649809","doi":"https://doi.org/10.1109/iv55156.2024.10588579"},"language":"en","primary_location":{"id":"doi:10.1109/iv55156.2024.10588579","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv55156.2024.10588579","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/A5102488470","display_name":"Lian Song","orcid":null},"institutions":[{"id":"https://openalex.org/I4210158570","display_name":"Zhejiang University-University of Edinburgh Institute","ror":"https://ror.org/04jth1r26","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210158570","https://openalex.org/I76130692","https://openalex.org/I98677209"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Song Lian","raw_affiliation_strings":["Zhejiang University,ZJU-UIUC Institute,Haining,China,314400"],"affiliations":[{"raw_affiliation_string":"Zhejiang University,ZJU-UIUC Institute,Haining,China,314400","institution_ids":["https://openalex.org/I4210158570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101682721","display_name":"Bin Zhou","orcid":"https://orcid.org/0009-0004-0264-7526"},"institutions":[{"id":"https://openalex.org/I4210158570","display_name":"Zhejiang University-University of Edinburgh Institute","ror":"https://ror.org/04jth1r26","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210158570","https://openalex.org/I76130692","https://openalex.org/I98677209"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Zhou","raw_affiliation_strings":["Zhejiang University,ZJU-UIUC Institute,Haining,China,314400"],"affiliations":[{"raw_affiliation_string":"Zhejiang University,ZJU-UIUC Institute,Haining,China,314400","institution_ids":["https://openalex.org/I4210158570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010818843","display_name":"Simon Hu","orcid":"https://orcid.org/0000-0002-9832-6679"},"institutions":[{"id":"https://openalex.org/I4210158570","display_name":"Zhejiang University-University of Edinburgh Institute","ror":"https://ror.org/04jth1r26","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210158570","https://openalex.org/I76130692","https://openalex.org/I98677209"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Simon Hu","raw_affiliation_strings":["Zhejiang University,ZJU-UIUC Institute,Haining,China,314400"],"affiliations":[{"raw_affiliation_string":"Zhejiang University,ZJU-UIUC Institute,Haining,China,314400","institution_ids":["https://openalex.org/I4210158570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057575896","display_name":"Jianghan Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210158570","display_name":"Zhejiang University-University of Edinburgh Institute","ror":"https://ror.org/04jth1r26","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210158570","https://openalex.org/I76130692","https://openalex.org/I98677209"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianghan Hu","raw_affiliation_strings":["Zhejiang University,ZJU-UIUC Institute,Haining,China,314400"],"affiliations":[{"raw_affiliation_string":"Zhejiang University,ZJU-UIUC Institute,Haining,China,314400","institution_ids":["https://openalex.org/I4210158570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089410490","display_name":"Gaoang Wang","orcid":"https://orcid.org/0000-0002-8403-1538"},"institutions":[{"id":"https://openalex.org/I4210158570","display_name":"Zhejiang University-University of Edinburgh Institute","ror":"https://ror.org/04jth1r26","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210158570","https://openalex.org/I76130692","https://openalex.org/I98677209"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gaoang Wang","raw_affiliation_strings":["Zhejiang University,ZJU-UIUC Institute,Haining,China,314400"],"affiliations":[{"raw_affiliation_string":"Zhejiang University,ZJU-UIUC Institute,Haining,China,314400","institution_ids":["https://openalex.org/I4210158570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062279811","display_name":"Jose Javier Escribano Macias","orcid":"https://orcid.org/0000-0002-8472-7498"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jose Escribano","raw_affiliation_strings":["Imperial College,Department of Civil and Environmental Engineering,London,UK,SW7 2BU"],"affiliations":[{"raw_affiliation_string":"Imperial College,Department of Civil and Environmental Engineering,London,UK,SW7 2BU","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004861155","display_name":"Xiaoxiang Na","orcid":"https://orcid.org/0000-0002-6524-7122"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Xiaoxiang Na","raw_affiliation_strings":["University of Cambridge,Department of Engineering,UK"],"affiliations":[{"raw_affiliation_string":"University of Cambridge,Department of Engineering,UK","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101960327","display_name":"Sheng Jin","orcid":"https://orcid.org/0000-0001-6110-0783"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng Jin","raw_affiliation_strings":["Zhejiang University,College of Civil Engineering and Architecture,Hangzhou,China,310058"],"affiliations":[{"raw_affiliation_string":"Zhejiang University,College of Civil Engineering and Architecture,Hangzhou,China,310058","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5102488470"],"corresponding_institution_ids":["https://openalex.org/I4210158570"],"apc_list":null,"apc_paid":null,"fwci":0.3935,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57970082,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"484","last_page":"489"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9868999719619751,"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":0.9868999719619751,"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":0.9833999872207642,"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/T12095","display_name":"Vehicle emissions and performance","score":0.9351999759674072,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.786141574382782},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6635431051254272},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.4864956736564636},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39864441752433777}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.786141574382782},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6635431051254272},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.4864956736564636},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39864441752433777},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iv55156.2024.10588579","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv55156.2024.10588579","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":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322927","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884"},{"id":"https://openalex.org/F4320334701","display_name":"Joint Research Centre","ror":"https://ror.org/04j5wtv36"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2955189650","https://openalex.org/W2963001155","https://openalex.org/W3034722190","https://openalex.org/W3036167779","https://openalex.org/W3196864007","https://openalex.org/W3204875639","https://openalex.org/W3209837334","https://openalex.org/W4226239849","https://openalex.org/W4312305613","https://openalex.org/W4385245566","https://openalex.org/W6779823529"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W1941703695","https://openalex.org/W4248382324","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Vehicle":[0],"trajectory":[1,50,57,77,99,130],"prediction":[2,29,51,58],"is":[3,26],"crucial":[4,152],"for":[5,116],"ensuring":[6],"the":[7,17,62,84,91,118,122,156,164,175,187,194],"safety":[8,40],"and":[9,70,101,107,147,184],"reliability":[10],"of":[11,21,35,86,97,182,197],"autonomous":[12,201],"driving":[13],"systems.":[14],"Due":[15],"to":[16,38,79,124],"highly":[18],"stochastic":[19,195],"nature":[20,196],"road":[22,198],"participants\u2019":[23],"behaviors,":[24],"it":[25],"vital":[27],"that":[28,104,171],"models":[30],"accommodate":[31],"a":[32,48,87,113],"wide":[33],"range":[34],"possible":[36],"scenarios":[37,199],"mitigate":[39],"risks.":[41],"To":[42],"address":[43],"this":[44],"challenge,":[45],"we":[46,138],"propose":[47],"novel":[49],"model":[52,59,66,92,111,123,157],"called":[53],"DiffusionTrajPred,":[54],"an":[55],"innovative":[56],"based":[60],"on":[61,163],"diffusion":[63,188],"model.":[64],"This":[65],"uniquely":[67],"combines":[68],"forward":[69],"reverse":[71,89],"processes,":[72],"manipulating":[73],"noise":[74],"levels":[75],"in":[76,133,180,192,200],"data":[78],"forecast":[80],"future":[81],"paths.":[82],"Through":[83],"application":[85],"mask-based":[88],"process,":[90],"can":[93],"make":[94],"full":[95],"use":[96],"historical":[98],"information":[100,128,146],"predict":[102],"trajectories":[103],"combine":[105],"accuracy":[106,183],"multiple":[108],"possibilities.":[109],"The":[110],"utilizes":[112],"Transformer":[114],"architecture":[115],"learning":[117],"noise,":[119],"which":[120],"enables":[121],"extract":[125],"richer":[126],"temporal":[127],"from":[129],"data,":[131],"resulting":[132],"improved":[134],"semantic":[135,144],"comprehension.":[136],"Furthermore,":[137],"have":[139],"effectively":[140],"encoded":[141],"high-definition":[142],"(HD)":[143],"map":[145],"vehicle":[148],"interaction":[149],"dynamics":[150],"as":[151],"input":[153],"features,":[154],"improving":[155],"\u2019s":[158],"predictive":[159],"power.":[160],"Extensive":[161],"experiments":[162],"widely":[165],"recognized":[166],"open-source":[167],"dataset":[168],"\u2019Argoverse\u2019":[169],"reveal":[170],"our":[172],"method":[173],"outperformed":[174],"most":[176],"existing":[177],"state-of-the-art":[178],"methods":[179],"terms":[181],"multimodality,":[185],"demonstrating":[186],"model\u2019s":[189],"unique":[190],"advantage":[191],"addressing":[193],"driving.":[202]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-16T15:07:20.185449","created_date":"2025-10-10T00:00:00"}
