{"id":"https://openalex.org/W4285410087","doi":"https://doi.org/10.1145/3532213.3532331","title":"Spatial-Temporal Attention Networks for Vehicle Trajectory Prediction","display_name":"Spatial-Temporal Attention Networks for Vehicle Trajectory Prediction","publication_year":2022,"publication_date":"2022-03-18","ids":{"openalex":"https://openalex.org/W4285410087","doi":"https://doi.org/10.1145/3532213.3532331"},"language":"en","primary_location":{"id":"doi:10.1145/3532213.3532331","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3532213.3532331","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Conference on Computing and Artificial Intelligence","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/A5042173159","display_name":"Lubin Chen","orcid":"https://orcid.org/0000-0002-6913-7350"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lubin Chen","raw_affiliation_strings":["Academy for Engineering&Technology, Fudan University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Academy for Engineering&Technology, Fudan University, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010889022","display_name":"Shichao Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shichao Yan","raw_affiliation_strings":["Academy for Engineering&Technology, Fudan University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Academy for Engineering&Technology, Fudan University, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045362859","display_name":"Mingyang Sun","orcid":"https://orcid.org/0000-0003-2728-5117"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingyang Sun","raw_affiliation_strings":["Academy for Engineering&Technology, Fudan University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Academy for Engineering&Technology, Fudan University, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045603118","display_name":"Zhongwei Yang","orcid":"https://orcid.org/0000-0002-1458-2393"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongwei Yang","raw_affiliation_strings":["Academy for Engineering&Technology, Fudan University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Academy for Engineering&Technology, Fudan University, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036810000","display_name":"Peng Zhai","orcid":"https://orcid.org/0000-0002-1374-7969"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Zhai","raw_affiliation_strings":["Academy for Engineering&Technology, Fudan University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Academy for Engineering&Technology, Fudan University, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100414906","display_name":"Lihua Zhang","orcid":"https://orcid.org/0000-0003-0467-4347"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lihua Zhang","raw_affiliation_strings":["Academy for Engineering&Technology, Fudan University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Academy for Engineering&Technology, Fudan University, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5042173159"],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":0.1568,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.43524754,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"773","last_page":"778"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9865999817848206,"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":0.9843000173568726,"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":0.8677927255630493},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6619303226470947},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5413711667060852},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4302319884300232},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.34049010276794434},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33094045519828796},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1785181164741516}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.8677927255630493},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6619303226470947},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5413711667060852},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4302319884300232},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.34049010276794434},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33094045519828796},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1785181164741516},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3532213.3532331","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3532213.3532331","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Conference on Computing and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2019550475","https://openalex.org/W2105934661","https://openalex.org/W2122773086","https://openalex.org/W2133564696","https://openalex.org/W2343381408","https://openalex.org/W2567297805","https://openalex.org/W2607296803","https://openalex.org/W2784715585","https://openalex.org/W2883602772","https://openalex.org/W2962687116","https://openalex.org/W2963001155","https://openalex.org/W2963309363","https://openalex.org/W2963914175","https://openalex.org/W2989851631","https://openalex.org/W2991653934","https://openalex.org/W3097237405","https://openalex.org/W3104946437","https://openalex.org/W3113026013","https://openalex.org/W3132535424","https://openalex.org/W3139491754","https://openalex.org/W3169575318","https://openalex.org/W3207981904","https://openalex.org/W4286696412"],"related_works":["https://openalex.org/W4323768008","https://openalex.org/W1941703695","https://openalex.org/W4248382324","https://openalex.org/W3131574667","https://openalex.org/W4360995134","https://openalex.org/W3023605104","https://openalex.org/W2039473718","https://openalex.org/W2387529410","https://openalex.org/W2383578611","https://openalex.org/W2987583674"],"abstract_inverted_index":{"Predicting":[0],"the":[1,9,17,20,26,41,59,62,73,86,94,105],"future":[2,21,63],"trajectory":[3,35,64,75],"of":[4,11,19,23,28,40,61,65,77,97],"vehicles":[5,24],"is":[6,37],"essential":[7],"to":[8,16,71,84],"safety":[10],"autonomous":[12,46],"driving.":[13,47],"However,":[14],"due":[15],"uncertainty":[18],"behavior":[22],"and":[25,33,92],"complexity":[27],"interactions":[29,88,98],"between":[30,90],"vehicles,":[31,78,91],"reasonable":[32],"accurate":[34],"prediction":[36,60],"still":[38],"one":[39],"huge":[42],"challenges":[43],"faced":[44],"by":[45],"In":[48],"this":[49],"paper,":[50],"we":[51],"present":[52],"a":[53],"Spatial-Temporal":[54],"Attention":[55,81],"Networks":[56],"(STAN)":[57],"for":[58],"vehicles.":[66],"STAN":[67],"uses":[68,79],"Transformer":[69],"network":[70],"extract":[72,85],"historical":[74],"features":[76,89],"Graph":[80],"Network":[82],"(GAT)":[83],"spatial":[87],"captures":[93],"temporal":[95],"correlations":[96],"through":[99],"Transformer.":[100],"The":[101],"experimental":[102],"results":[103,116],"on":[104],"NGSIM":[106],"US-101":[107],"dataset":[108],"show":[109],"that":[110],"our":[111],"model":[112],"has":[113],"achieved":[114],"competitive":[115],"compared":[117],"with":[118],"some":[119],"existing":[120],"works.":[121]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}