{"id":"https://openalex.org/W4403021814","doi":"https://doi.org/10.1109/tase.2024.3466272","title":"Fast and Accurate Multi-Agent Trajectory Prediction for Crowded Unknown Scenes","display_name":"Fast and Accurate Multi-Agent Trajectory Prediction for Crowded Unknown Scenes","publication_year":2024,"publication_date":"2024-10-01","ids":{"openalex":"https://openalex.org/W4403021814","doi":"https://doi.org/10.1109/tase.2024.3466272"},"language":"en","primary_location":{"id":"doi:10.1109/tase.2024.3466272","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2024.3466272","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Automation Science and Engineering","raw_type":"journal-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/A5114237878","display_name":"Xiuye Tao","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiuye Tao","raw_affiliation_strings":["School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100605691","display_name":"Huiping Li","orcid":"https://orcid.org/0000-0003-4620-8993"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huiping Li","raw_affiliation_strings":["School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101626172","display_name":"Bin Liang","orcid":"https://orcid.org/0000-0001-6310-6214"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Liang","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100616274","display_name":"Yang Shi","orcid":"https://orcid.org/0000-0002-3336-4826"},"institutions":[{"id":"https://openalex.org/I212119943","display_name":"University of Victoria","ror":"https://ror.org/04s5mat29","country_code":"CA","type":"education","lineage":["https://openalex.org/I212119943"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Yang Shi","raw_affiliation_strings":["Department of Mechanical Engineering, University of Victoria, Victoria, BC, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, University of Victoria, Victoria, BC, Canada","institution_ids":["https://openalex.org/I212119943"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100727763","display_name":"Demin Xu","orcid":"https://orcid.org/0000-0002-5866-1659"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Demin Xu","raw_affiliation_strings":["School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5114237878"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":0.6106,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.66813482,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"22","issue":null,"first_page":"7606","last_page":"7621"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9973999857902527,"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":0.9973999857902527,"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":0.9962999820709229,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.991599977016449,"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":0.7689226865768433},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.55058753490448},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4590510427951813},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.400369256734848},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.13554662466049194}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.7689226865768433},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.55058753490448},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4590510427951813},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.400369256734848},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.13554662466049194},{"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/tase.2024.3466272","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2024.3466272","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Automation Science and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5361805742","display_name":null,"funder_award_id":"62273281","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G680344404","display_name":null,"funder_award_id":"U22B2039","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7347353647","display_name":null,"funder_award_id":"61922068","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"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":46,"referenced_works":["https://openalex.org/W192919555","https://openalex.org/W1571268436","https://openalex.org/W1970206276","https://openalex.org/W1994793532","https://openalex.org/W2015368813","https://openalex.org/W2072195747","https://openalex.org/W2072956256","https://openalex.org/W2136848157","https://openalex.org/W2146183743","https://openalex.org/W2167052694","https://openalex.org/W2197015301","https://openalex.org/W2219299986","https://openalex.org/W2327816982","https://openalex.org/W2424778531","https://openalex.org/W2519586580","https://openalex.org/W2558776914","https://openalex.org/W2565986202","https://openalex.org/W2618068160","https://openalex.org/W2738900493","https://openalex.org/W2740601239","https://openalex.org/W2740801047","https://openalex.org/W2774231091","https://openalex.org/W2810439382","https://openalex.org/W2891376043","https://openalex.org/W2953931148","https://openalex.org/W2962731062","https://openalex.org/W2963001155","https://openalex.org/W3011328941","https://openalex.org/W3035692480","https://openalex.org/W3060083038","https://openalex.org/W3113622999","https://openalex.org/W3119272757","https://openalex.org/W3153018575","https://openalex.org/W3153752809","https://openalex.org/W3157546044","https://openalex.org/W3171419621","https://openalex.org/W3175661831","https://openalex.org/W3211426118","https://openalex.org/W4200304283","https://openalex.org/W4285168614","https://openalex.org/W4318462480","https://openalex.org/W4384161746","https://openalex.org/W4390033795","https://openalex.org/W4401607782","https://openalex.org/W6728740164","https://openalex.org/W6741443155"],"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":{"This":[0,300],"paper":[1],"studies":[2,145],"the":[3,68,72,80,86,98,118,137,147,150,175,202,207,212,263,278,303,311,315],"problem":[4,268],"of":[5,74,121,149,155,201,218],"multi-agent":[6,265,294],"trajectory":[7,216,266],"prediction":[8,23,156,217,245,267],"in":[9,79,128,140,153,187,240,255,272,282,296,329],"crowded":[10,189,273,297],"unknown":[11,274,298,308],"environments.":[12,275,331],"A":[13],"novel":[14],"energy":[15,28,81,288],"function":[16,29,82,289],"optimization-based":[17,290],"framework":[18,291,301],"is":[19,30,46,83,211],"proposed":[20,151],"to":[21,63,96,111,161,209,223,234,292,306],"generate":[22],"trajectories.":[24],"Firstly,":[25],"a":[26,106,188,270,286],"new":[27,287],"designed":[31],"for":[32,40,206,251,269,323],"easier":[33],"optimization.":[34],"Secondly,":[35],"an":[36,54],"online":[37],"optimization":[38,73,99],"pipeline":[39],"calculating":[41],"parameters":[42,78,239],"and":[43,76,90,131,143,158,164,172,174,194,214,313,327],"agents\u2019":[44,113,134],"velocities":[45,75],"developed.":[47],"In":[48,258],"this":[49,259],"pipeline,":[50],"we":[51,104,261,284],"first":[52],"design":[53],"efficient":[55],"group":[56],"division":[57],"method":[58,152],"based":[59],"on":[60,70],"Frechet":[61],"distance":[62],"classify":[64],"agents":[65,220],"online.":[66],"Then":[67],"strategy":[69],"decoupling":[71],"critical":[77,238],"developed,":[84],"where":[85],"slap":[87],"swarm":[88],"algorithm":[89,110],"gradient":[91],"descent":[92],"algorithms":[93],"are":[94,166,248],"integrated":[95,168],"solve":[97,210],"problems":[100,205],"more":[101],"efficiently.":[102],"Thirdly,":[103],"propose":[105,285],"similarity-based":[107],"resample":[108],"evaluation":[109],"predict":[112],"optimal":[114],"goals,":[115],"defined":[116],"as":[117,192],"target-moving":[119],"headings":[120],"agents,":[122],"which":[123,247,319],"effectively":[124],"extracts":[125],"hidden":[126],"information":[127,233,309],"observed":[129,304],"states":[130],"avoids":[132],"learning":[133],"destinations":[135],"via":[136],"training":[138],"dataset":[139,312],"advance.":[141],"Experiments":[142],"comparison":[144],"verify":[146],"advantages":[148],"terms":[154],"accuracy":[157],"speed.":[159],"Note":[160],"Practitioners\u2014Autonomous":[162],"robots":[163,178],"vehicles":[165],"rapidly":[167],"into":[169],"social":[170],"life":[171],"industry,":[173],"scenarios":[176],"that":[177],"work":[179],"with":[180],"multiple":[181,219],"people":[182],"or":[183,237,242],"other":[184],"moving":[185],"objects":[186],"environment":[190],"such":[191],"streets":[193],"factories":[195],"will":[196],"be":[197,321],"quite":[198],"common.":[199],"One":[200],"most":[203],"important":[204],"robot":[208,252,271,324],"real-time":[213,264],"accurate":[215,279],"around":[221],"itself":[222],"ensure":[224],"safe":[225,253],"navigation.":[226],"However,":[227],"existing":[228],"methods":[229],"either":[230],"require":[231],"prior":[232],"train":[235],"models":[236],"advance":[241],"have":[243],"insufficient":[244],"accuracy,":[246],"not":[249],"suitable":[250],"navigation":[254,328],"real":[256],"applications.":[257],"paper,":[260],"investigate":[262],"To":[276],"obtain":[277],"predicted":[280],"trajectories":[281,295,316],"real-time,":[283],"forecast":[293],"scenarios.":[299],"utilizes":[302],"data":[305],"infer":[307],"without":[310],"optimizes":[314],"very":[317],"efficiently,":[318],"can":[320],"adopted":[322],"motion":[325],"planning":[326],"real-world":[330]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}