{"id":"https://openalex.org/W4400647624","doi":"https://doi.org/10.1109/iv55156.2024.10588426","title":"HSTR: Hierarchical Scene Transformer for Multi-agent Trajectory Prediction*","display_name":"HSTR: Hierarchical Scene Transformer for Multi-agent Trajectory Prediction*","publication_year":2024,"publication_date":"2024-06-02","ids":{"openalex":"https://openalex.org/W4400647624","doi":"https://doi.org/10.1109/iv55156.2024.10588426"},"language":"en","primary_location":{"id":"doi:10.1109/iv55156.2024.10588426","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iv55156.2024.10588426","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/A5109748232","display_name":"Shuaiqi Fu","orcid":"https://orcid.org/0009-0009-0712-5897"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuaiqi Fu","raw_affiliation_strings":["Beijing Institute of Technology,School of Mechanical Engineering,Beijing,China,100081"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology,School of Mechanical Engineering,Beijing,China,100081","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054093367","display_name":"Yixuan Yang","orcid":"https://orcid.org/0000-0002-9334-566X"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yixuan Yang","raw_affiliation_strings":["Beijing Institute of Technology,School of Mechanical Engineering,Beijing,China,100081"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology,School of Mechanical Engineering,Beijing,China,100081","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100308730","display_name":"Xiaoyang Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyang Luo","raw_affiliation_strings":["Beijing Institute of Technology,School of Mechanical Engineering,Beijing,China,100081"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology,School of Mechanical Engineering,Beijing,China,100081","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101907748","display_name":"Changhao Chen","orcid":"https://orcid.org/0000-0002-3529-2600"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Changhao Chen","raw_affiliation_strings":["Neolix Co. Ltd.,Beijing,China,100016"],"affiliations":[{"raw_affiliation_string":"Neolix Co. Ltd.,Beijing,China,100016","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024997323","display_name":"Yanan Zhao","orcid":"https://orcid.org/0000-0002-5549-5798"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanan Zhao","raw_affiliation_strings":["Beijing Institute of Technology,School of Mechanical Engineering,Beijing,China,100081"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology,School of Mechanical Engineering,Beijing,China,100081","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085784813","display_name":"Huachun Tan","orcid":"https://orcid.org/0000-0001-6881-0550"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huachun Tan","raw_affiliation_strings":["Beijing Institute of Technology,Advanced Research Institute of Multidisciplinary Science,Beijing,China,10081"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology,Advanced Research Institute of Multidisciplinary Science,Beijing,China,10081","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5109748232"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10844584,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"773","last_page":"779"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9865000247955322,"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":0.9865000247955322,"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":0.9771000146865845,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9570000171661377,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.725555419921875},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.6501725316047668},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6234198808670044},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5393618941307068},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41692671179771423},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.32580476999282837},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1116955578327179},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.08081355690956116},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.05132165551185608}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.725555419921875},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6501725316047668},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6234198808670044},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5393618941307068},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41692671179771423},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.32580476999282837},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1116955578327179},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.08081355690956116},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.05132165551185608},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iv55156.2024.10588426","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iv55156.2024.10588426","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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2955189650","https://openalex.org/W3028769608","https://openalex.org/W3034722190","https://openalex.org/W3107552218","https://openalex.org/W3108486966","https://openalex.org/W3125605478","https://openalex.org/W3169575318","https://openalex.org/W3180491419","https://openalex.org/W3198662297","https://openalex.org/W3204875639","https://openalex.org/W3214950490","https://openalex.org/W4225718785","https://openalex.org/W4312731878","https://openalex.org/W4312804128","https://openalex.org/W4383109107","https://openalex.org/W4386076672","https://openalex.org/W4390872910","https://openalex.org/W4402753757","https://openalex.org/W6769043036","https://openalex.org/W6782468546","https://openalex.org/W6797951480","https://openalex.org/W6801880476","https://openalex.org/W6858648908"],"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":{"Trajectory":[0],"prediction":[1,36,48,148],"plays":[2],"a":[3,44],"pivotal":[4],"role":[5],"in":[6,34,177],"the":[7,72,91,105,125,147,160,166,185],"autonomous":[8],"driving":[9,21,58,143],"systems.":[10],"Existing":[11],"methods":[12,25],"generally":[13],"employ":[14],"agent-centric":[15],"or":[16,30],"scene-centric":[17],"approaches":[18],"to":[19,103,123,145,184],"represent":[20],"scenarios.":[22],"However,":[23],"these":[24,42],"introduce":[26],"significant":[27],"redundant":[28,88],"computations":[29],"pose":[31,108],"losses,":[32],"resulting":[33],"suboptimal":[35],"efficiency":[37,180],"and":[38,69,80,110,162,165,181],"accuracy.":[39],"To":[40],"tackle":[41],"problems,":[43],"novel":[45],"multi-target":[46],"trajectory":[47],"model,":[49],"named":[50],"Hierarchical":[51],"Scene":[52],"TRansformer":[53],"(HSTR),":[54],"is":[55,60,78,98,121,157,173],"introduced.":[56],"The":[57,154],"scene":[59],"decomposed":[61],"into":[62],"two":[63],"independent":[64],"components":[65],"by":[66,175],"HSTR:":[67],"global":[68,73,75],"local.":[70],"In":[71,90],"part,":[74,93],"interaction":[76],"information":[77],"established":[79,99],"shared":[81],"among":[82],"all":[83],"predicted":[84],"agents,":[85],"thereby":[86],"reducing":[87],"computations.":[89],"local":[92],"an":[94,115],"individual":[95],"reference":[96],"frame":[97],"for":[100,131],"each":[101],"vehicle":[102],"eliminate":[104],"impact":[106],"of":[107,127,149,179],"variations":[109],"extract":[111],"temporal":[112],"features.":[113],"Moreover,":[114],"adaptive":[116],"anchor":[117,138],"point":[118],"generation":[119],"method":[120,134],"proposed":[122],"address":[124],"challenge":[126],"capturing":[128],"future":[129],"modalities":[130],"vehicles.":[132],"This":[133],"dynamically":[135],"generates":[136],"corresponding":[137],"points":[139],"based":[140],"on":[141,159],"different":[142],"scenarios":[144],"guide":[146],"trajectories":[150],"across":[151],"various":[152],"modalities.":[153],"model":[155],"performance":[156,172],"verified":[158],"argoverse1":[161],"argoverse2":[163],"datasets,":[164],"experimental":[167],"results":[168],"demonstrate":[169],"that":[170],"competitive":[171],"achieved":[174],"HSTR":[176],"terms":[178],"precision":[182],"compared":[183],"state-of-the-art":[186],"methods.":[187]},"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
