{"id":"https://openalex.org/W4409537037","doi":"https://doi.org/10.1109/tvt.2025.3559217","title":"Map-Free Multi-Agent Trajectory Prediction in Traffic Scenarios","display_name":"Map-Free Multi-Agent Trajectory Prediction in Traffic Scenarios","publication_year":2025,"publication_date":"2025-04-17","ids":{"openalex":"https://openalex.org/W4409537037","doi":"https://doi.org/10.1109/tvt.2025.3559217"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2025.3559217","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2025.3559217","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Vehicular Technology","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/A5068785475","display_name":"Zhixiong Nan","orcid":"https://orcid.org/0000-0002-6166-0964"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhixiong Nan","raw_affiliation_strings":["College of Computer Science, Chongqing University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-6166-0964","affiliations":[{"raw_affiliation_string":"College of Computer Science, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103134692","display_name":"Junhong Xiang","orcid":"https://orcid.org/0009-0005-9748-6004"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junhong Xiang","raw_affiliation_strings":["College of Computer Science, Chongqing University, Chongqing, China"],"raw_orcid":"https://orcid.org/0009-0005-9748-6004","affiliations":[{"raw_affiliation_string":"College of Computer Science, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064046752","display_name":"Fulin Luo","orcid":"https://orcid.org/0000-0002-7696-0775"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fulin Luo","raw_affiliation_strings":["College of Computer Science, Chongqing University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-7696-0775","affiliations":[{"raw_affiliation_string":"College of Computer Science, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079461118","display_name":"Tao Xiang","orcid":"https://orcid.org/0000-0002-9439-4623"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Xiang","raw_affiliation_strings":["College of Computer Science, Chongqing University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-9439-4623","affiliations":[{"raw_affiliation_string":"College of Computer Science, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I158842170"],"apc_list":null,"apc_paid":null,"fwci":0.5119,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5942891,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"74","issue":"9","first_page":"13361","last_page":"13371"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9979000091552734,"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":0.9979000091552734,"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/T11106","display_name":"Data Management and Algorithms","score":0.9878000020980835,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9717000126838684,"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":0.6848002672195435},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4779258370399475}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6848002672195435},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4779258370399475},{"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/tvt.2025.3559217","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2025.3559217","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Vehicular Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W2896642734","https://openalex.org/W2940129212","https://openalex.org/W2948479456","https://openalex.org/W2955189650","https://openalex.org/W2963001155","https://openalex.org/W2963759562","https://openalex.org/W2967177252","https://openalex.org/W3010072020","https://openalex.org/W3034722190","https://openalex.org/W3035574168","https://openalex.org/W3035671534","https://openalex.org/W3044867770","https://openalex.org/W3091649779","https://openalex.org/W3107552218","https://openalex.org/W3108486966","https://openalex.org/W3114563362","https://openalex.org/W3116651890","https://openalex.org/W3131807685","https://openalex.org/W3139491754","https://openalex.org/W3159846780","https://openalex.org/W3169575318","https://openalex.org/W3210289792","https://openalex.org/W4210389721","https://openalex.org/W4285102480","https://openalex.org/W4285307478","https://openalex.org/W4288059565","https://openalex.org/W4312339440","https://openalex.org/W4312731878","https://openalex.org/W4312804128","https://openalex.org/W4312809144","https://openalex.org/W4313186696","https://openalex.org/W4383109074","https://openalex.org/W4383172002","https://openalex.org/W4386076672","https://openalex.org/W4386083117","https://openalex.org/W4386432277","https://openalex.org/W4388286274","https://openalex.org/W4389666389","https://openalex.org/W4390872910","https://openalex.org/W4390873034","https://openalex.org/W4394564266","https://openalex.org/W4402916169"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4323768008"],"abstract_inverted_index":{"The":[0],"majority":[1],"of":[2,50,71,80],"existing":[3],"works":[4],"predominantly":[5],"focus":[6],"on":[7,140,169],"map-based":[8,167],"trajectory":[9,33,53,137],"prediction":[10,34,54],"for":[11,37],"the":[12,16,48,68,77,125,131,141,154],"single":[13],"agent.":[14],"However,":[15],"High":[17],"Definition":[18],"(HD)":[19],"map":[20],"is":[21,35],"not":[22],"often":[23],"available":[24,193],"in":[25],"many":[26,38,188],"real-world":[27],"traffic":[28],"scenarios,":[29],"and":[30,40,55,60,83,96,109,120,147,163,172],"simultaneous":[31],"multi-agent":[32,52,136],"required":[36],"autonomous":[39],"assisted":[41],"driving":[42],"applications.":[43],"Therefore,":[44],"this":[45],"paper":[46],"addresses":[47],"problem":[49],"map-free":[51,161],"proposes":[56],"a":[57,116,183],"Query-based":[58],"Spatial":[59,107],"Temporal":[61],"Interaction":[62],"(QSTI)":[63],"model.":[64],"QSTI":[65,152],"initially":[66],"encodes":[67],"historical":[69],"information":[70],"agents":[72],"as":[73],"queries.":[74],"To":[75],"make":[76],"model":[78,180],"aware":[79],"both":[81],"spatial":[82,86],"temporal":[84,97,110],"information,":[85],"queries":[87,98,108,111,133],"are":[88,99,112,192],"learned":[89,100],"by":[90,101],"our":[91,102,179],"proposed":[92,103],"progressive":[93],"cross-attention":[94],"encoder,":[95],"flatten":[104],"self-attention":[105],"encoder.":[106],"then":[113],"fed":[114],"into":[115],"graph":[117],"convolution":[118],"network":[119,122],"transformer":[121],"to":[123,134,158],"learn":[124],"spatial-temporal":[126],"interactions":[127],"among":[128],"agents,":[129],"obtaining":[130],"interacted":[132],"perform":[135],"prediction.":[138],"Experiments":[139],"Argoverse":[142,144,170,173],"1,":[143],"2,":[145],"highD":[146],"rounD":[148],"datasets":[149],"show":[150],"that":[151],"achieves":[153],"highest":[155],"performance":[156],"compared":[157],"SOTA":[159],"(State-Of-The-Art)":[160],"methods,":[162],"even":[164],"outperforms":[165],"some":[166],"methods":[168],"1":[171],"2":[174],"benchmark":[175],"datasets.":[176],"In":[177],"addition,":[178],"also":[181],"exhibits":[182],"faster":[184],"inference":[185],"speed":[186],"than":[187],"models.":[189],"Our":[190],"code":[191],"at":[194],"<uri":[195],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[196],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/CQU-ADHRI-Lab/QSTI</uri>":[197]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
