{"id":"https://openalex.org/W7136564168","doi":"https://doi.org/10.1109/itsc60802.2025.11423443","title":"Intention Enhanced Diffusion Model for Multimodal Pedestrian Trajectory Prediction","display_name":"Intention Enhanced Diffusion Model for Multimodal Pedestrian Trajectory Prediction","publication_year":2025,"publication_date":"2025-11-18","ids":{"openalex":"https://openalex.org/W7136564168","doi":"https://doi.org/10.1109/itsc60802.2025.11423443"},"language":null,"primary_location":{"id":"doi:10.1109/itsc60802.2025.11423443","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc60802.2025.11423443","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 28th 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":"https://openalex.org/A5050185295","display_name":"Yu Liu","orcid":"https://orcid.org/0000-0002-2515-4431"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Liu","raw_affiliation_strings":["Southern University of Science and Technology,Guangdong Provincial Key Laboratory of Fully Actuated System Control Theory and Technology,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology,Guangdong Provincial Key Laboratory of Fully Actuated System Control Theory and Technology,Shenzhen,China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122892958","display_name":"Zhijie Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhijie Liu","raw_affiliation_strings":["Southern University of Science and Technology,Guangdong Provincial Key Laboratory of Fully Actuated System Control Theory and Technology,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology,Guangdong Provincial Key Laboratory of Fully Actuated System Control Theory and Technology,Shenzhen,China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100867251","display_name":"Xiao Ren","orcid":"https://orcid.org/0009-0001-1099-3208"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Ren","raw_affiliation_strings":["Southern University of Science and Technology,Guangdong Provincial Key Laboratory of Fully Actuated System Control Theory and Technology,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology,Guangdong Provincial Key Laboratory of Fully Actuated System Control Theory and Technology,Shenzhen,China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121972570","display_name":"You-Fu Li","orcid":null},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"You-Fu Li","raw_affiliation_strings":["City University of Hong Kong,Department of Mechanical Engineering,Hong Kong SAR,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"City University of Hong Kong,Department of Mechanical Engineering,Hong Kong SAR,China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5129548192","display_name":"He Kong","orcid":null},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"He Kong","raw_affiliation_strings":["Southern University of Science and Technology,Guangdong Provincial Key Laboratory of Fully Actuated System Control Theory and Technology,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology,Guangdong Provincial Key Laboratory of Fully Actuated System Control Theory and Technology,Shenzhen,China","institution_ids":["https://openalex.org/I3045169105"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2063","last_page":"2068"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.3779999911785126,"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":0.3779999911785126,"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/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.2597000002861023,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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":0.04769999906420708,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5827999711036682},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.564300000667572},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.3111000061035156},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.28690001368522644},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.2750000059604645},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.27129998803138733}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5827999711036682},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5810999870300293},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.564300000667572},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5461000204086304},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4555000066757202},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.3111000061035156},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.28690001368522644},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.2750000059604645},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.27129998803138733},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2711000144481659},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.25200000405311584},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.25189998745918274}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc60802.2025.11423443","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc60802.2025.11423443","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 28th 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":0.5290647745132446,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G7507435188","display_name":null,"funder_award_id":"U24A20265","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8273791333","display_name":null,"funder_award_id":"2024YFB4710902","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8618877991","display_name":null,"funder_award_id":"2024B1212010002","funder_id":"https://openalex.org/F4320335795","funder_display_name":"Science and Technology Planning Project of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335795","display_name":"Science and Technology Planning Project of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1970206276","https://openalex.org/W2167052694","https://openalex.org/W2424778531","https://openalex.org/W2532516272","https://openalex.org/W2803184913","https://openalex.org/W2963001155","https://openalex.org/W2991653934","https://openalex.org/W3035096461","https://openalex.org/W3036347242","https://openalex.org/W3114484401","https://openalex.org/W3116651890","https://openalex.org/W3205724130","https://openalex.org/W4312305613","https://openalex.org/W4312750092","https://openalex.org/W4312809144","https://openalex.org/W4313041951","https://openalex.org/W4386066131","https://openalex.org/W4389542885","https://openalex.org/W4390872910","https://openalex.org/W4390873332","https://openalex.org/W4391768479","https://openalex.org/W4395470995","https://openalex.org/W4400646293","https://openalex.org/W4402754122","https://openalex.org/W4408700512","https://openalex.org/W7133208595","https://openalex.org/W7133218093"],"related_works":[],"abstract_inverted_index":{"Predicting":[0],"pedestrian":[1,47,106],"motion":[2,10,60,88,95],"trajectories":[3,19],"is":[4,110,138,154],"critical":[5],"for":[6,49],"path":[7],"planning":[8],"and":[9,29,69,101,104,149],"control":[11],"of":[12,32,46,62,71,132],"autonomous":[13],"vehicles.":[14],"However,":[15,52],"accurately":[16],"forecasting":[17],"crowd":[18],"remains":[20],"a":[21,79,105],"challenging":[22],"task":[23],"due":[24],"to":[25,112,116],"the":[26,44,58,67,91,114,130],"inherently":[27],"multimodal":[28,81],"uncertain":[30],"nature":[31],"human":[33,144],"motion.":[34],"Recent":[35],"diffusion-based":[36,54,80],"models":[37],"have":[38],"shown":[39],"promising":[40],"results":[41,161],"in":[42],"capturing":[43],"stochasticity":[45],"behavior":[48],"trajectory":[50,82,145],"prediction.":[51],"few":[53],"approaches":[55],"explicitly":[56],"incorporate":[57],"underlying":[59],"intentions":[61,89,96],"pedestrians,":[63],"which":[64,152],"can":[65],"limit":[66],"interpretability":[68],"precision":[70],"prediction":[72,83,92,146],"models.":[73],"In":[74],"this":[75],"work,":[76],"we":[77,122],"propose":[78],"model":[84,115],"that":[85,128,163],"incorporates":[86],"pedestrians'":[87],"into":[90,99],"framework.":[93],"The":[94,135,159],"are":[97],"decomposed":[98],"lateral":[100],"longitudinal":[102],"components,":[103],"intention":[107],"recognition":[108],"module":[109],"introduced":[111],"enable":[113],"effectively":[117],"capture":[118],"these":[119],"intentions.":[120],"Furthermore,":[121],"adopt":[123],"an":[124],"efficient":[125],"guidance":[126],"mechanism":[127],"facilitates":[129],"generation":[131],"interpretable":[133],"trajectories.":[134],"proposed":[136],"framework":[137],"evaluated":[139],"on":[140,151],"two":[141],"widely":[142],"used":[143],"benchmarks,":[147],"ETH":[148],"UCY,":[150],"it":[153],"compared":[155],"against":[156],"state-of-the-art":[157],"methods.":[158],"experimental":[160],"demonstrate":[162],"our":[164],"method":[165],"achieves":[166],"competitive":[167],"performance.":[168]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-03-17T00:00:00"}