{"id":"https://openalex.org/W4408352116","doi":"https://doi.org/10.1109/icassp49660.2025.10890776","title":"Stochastic-Aware Mamba Diffusion for Pedestrian Trajectory Prediction","display_name":"Stochastic-Aware Mamba Diffusion for Pedestrian Trajectory Prediction","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408352116","doi":"https://doi.org/10.1109/icassp49660.2025.10890776"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10890776","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10890776","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":"Ziyang Ren","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ziyang Ren","raw_affiliation_strings":["Xi&#x2019;an Jiaotong University,National Key Laboratory of Human-Machine Hybrid Augmented Intelligence Institute of Artificial Intelligence and Robotics,Xi&#x2019;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi&#x2019;an Jiaotong University,National Key Laboratory of Human-Machine Hybrid Augmented Intelligence Institute of Artificial Intelligence and Robotics,Xi&#x2019;an,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101947241","display_name":"Ping Wei","orcid":"https://orcid.org/0000-0002-8535-9527"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ping Wei","raw_affiliation_strings":["Xi&#x2019;an Jiaotong University,National Key Laboratory of Human-Machine Hybrid Augmented Intelligence Institute of Artificial Intelligence and Robotics,Xi&#x2019;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi&#x2019;an Jiaotong University,National Key Laboratory of Human-Machine Hybrid Augmented Intelligence Institute of Artificial Intelligence and Robotics,Xi&#x2019;an,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102295366","display_name":"Haowen Tang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Haowen Tang","raw_affiliation_strings":["Xi&#x2019;an Jiaotong University,National Key Laboratory of Human-Machine Hybrid Augmented Intelligence Institute of Artificial Intelligence and Robotics,Xi&#x2019;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi&#x2019;an Jiaotong University,National Key Laboratory of Human-Machine Hybrid Augmented Intelligence Institute of Artificial Intelligence and Robotics,Xi&#x2019;an,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107340627","display_name":"Huan Li","orcid":"https://orcid.org/0000-0003-4302-5120"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huan Li","raw_affiliation_strings":["Xi&#x2019;an Jiaotong University,National Key Laboratory of Human-Machine Hybrid Augmented Intelligence Institute of Artificial Intelligence and Robotics,Xi&#x2019;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi&#x2019;an Jiaotong University,National Key Laboratory of Human-Machine Hybrid Augmented Intelligence Institute of Artificial Intelligence and Robotics,Xi&#x2019;an,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101574525","display_name":"Jin Yang","orcid":"https://orcid.org/0000-0001-9790-1355"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jin Yang","raw_affiliation_strings":["Xi&#x2019;an Jiaotong University,National Key Laboratory of Human-Machine Hybrid Augmented Intelligence Institute of Artificial Intelligence and Robotics,Xi&#x2019;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi&#x2019;an Jiaotong University,National Key Laboratory of Human-Machine Hybrid Augmented Intelligence Institute of Artificial Intelligence and Robotics,Xi&#x2019;an,China","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"Jialu Qin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jialu Qin","raw_affiliation_strings":["Xi&#x2019;an Jiaotong University,National Key Laboratory of Human-Machine Hybrid Augmented Intelligence Institute of Artificial Intelligence and Robotics,Xi&#x2019;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi&#x2019;an Jiaotong University,National Key Laboratory of Human-Machine Hybrid Augmented Intelligence Institute of Artificial Intelligence and Robotics,Xi&#x2019;an,China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9923999905586243,"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"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9923999905586243,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9921000003814697,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9900000095367432,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.7764776349067688},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.674286961555481},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6423220634460449},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.5653493404388428},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10902315378189087},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1012628972530365},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.07446739077568054}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.7764776349067688},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.674286961555481},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6423220634460449},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.5653493404388428},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10902315378189087},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1012628972530365},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.07446739077568054},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"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/icassp49660.2025.10890776","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10890776","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.46000000834465027,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1605929701","https://openalex.org/W1967777429","https://openalex.org/W1970206276","https://openalex.org/W2164489414","https://openalex.org/W2167052694","https://openalex.org/W2424778531","https://openalex.org/W2519586580","https://openalex.org/W2532516272","https://openalex.org/W2607296803","https://openalex.org/W2801667201","https://openalex.org/W2895363383","https://openalex.org/W2963001155","https://openalex.org/W2963353290","https://openalex.org/W2963945905","https://openalex.org/W2991653934","https://openalex.org/W3035096461","https://openalex.org/W3097237405","https://openalex.org/W3108908812","https://openalex.org/W3109579921","https://openalex.org/W3116651890","https://openalex.org/W3139425555","https://openalex.org/W3139491754","https://openalex.org/W3160050461","https://openalex.org/W3175661831","https://openalex.org/W3177182010","https://openalex.org/W3194018559","https://openalex.org/W3204219722","https://openalex.org/W4210457203","https://openalex.org/W4220663375","https://openalex.org/W4293518756","https://openalex.org/W4312305613","https://openalex.org/W4312750092","https://openalex.org/W4313041951","https://openalex.org/W4313196348","https://openalex.org/W4385245566","https://openalex.org/W4386076060","https://openalex.org/W4390872109","https://openalex.org/W4392931186","https://openalex.org/W6687045409","https://openalex.org/W6779823529"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2392100589","https://openalex.org/W2512789322","https://openalex.org/W3122828758","https://openalex.org/W2101960027","https://openalex.org/W4205958986","https://openalex.org/W2197846993","https://openalex.org/W49697837"],"abstract_inverted_index":{"Pedestrian":[0],"trajectory":[1,143],"prediction":[2],"plays":[3],"a":[4,67,96,106],"crucial":[5],"role":[6],"in":[7,18,25,90],"understanding":[8],"human":[9,19],"behavior":[10],"and":[11,28,55,87,120,126,153],"intentions.":[12],"Due":[13],"to":[14,32,50,83,99,138],"the":[15,34,80,91,113,151,159],"inherent":[16],"randomness":[17,56],"movement,":[20],"current":[21],"research":[22],"constructs":[23],"trajectories":[24],"stochastic":[26,92,121],"space":[27,109],"uses":[29],"diffusion":[30],"models":[31],"reverse":[33],"denoising":[35,40],"process.":[36],"The":[37,128],"commonly":[38],"used":[39],"model,":[41,110],"Transformer,":[42],"is":[43],"affected":[44],"by":[45],"uneven":[46],"noise":[47,86,141],"sampling,":[48],"leading":[49],"confusion":[51],"between":[52,116],"temporal":[53,97,101],"consistency":[54,102,117],"across":[57],"multiple":[58],"time":[59],"points.":[60],"To":[61],"address":[62],"this":[63],"issue,":[64],"we":[65],"propose":[66],"novel":[68],"framework":[69],"named":[70],"Stochastic-Aware":[71,77],"Mamba":[72,78],"Diffusion":[73,81],"(SAMD),":[74],"which":[75,111],"combines":[76],"with":[79],"model":[82],"predict":[84],"motion":[85,88,118,129,136,140],"states":[89,119,122,137],"space.":[93],"It":[94],"utilizes":[95],"aggregator":[98],"extract":[100,139],"features.":[103],"We":[104],"construct":[105],"motion-selective":[107],"state":[108],"includes":[112],"adaptive":[114],"transition":[115],"for":[123,142],"balancing":[124],"stability":[125],"diversity.":[127],"gating":[130],"unit":[131],"activates":[132],"pertinent":[133],"information":[134],"within":[135],"prediction.":[144],"Our":[145],"approach":[146],"achieves":[147],"state-of-the-art":[148],"results":[149],"on":[150],"ETH-UCY":[152],"SDD":[154],"datasets":[155],"while":[156],"significantly":[157],"reducing":[158],"computational":[160],"cost.":[161]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
