{"id":"https://openalex.org/W4398782271","doi":"https://doi.org/10.1109/icaci60820.2024.10537010","title":"Spatiotemporal BEV Pyramid Networks for Future Instance Prediction of Autonomous Driving","display_name":"Spatiotemporal BEV Pyramid Networks for Future Instance Prediction of Autonomous Driving","publication_year":2024,"publication_date":"2024-05-16","ids":{"openalex":"https://openalex.org/W4398782271","doi":"https://doi.org/10.1109/icaci60820.2024.10537010"},"language":"en","primary_location":{"id":"doi:10.1109/icaci60820.2024.10537010","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icaci60820.2024.10537010","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 16th International Conference on Advanced Computational Intelligence (ICACI)","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/A5102767917","display_name":"Wenxuan Wu","orcid":"https://orcid.org/0000-0002-2361-0763"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenxuan Wu","raw_affiliation_strings":["Anhui University,School of Electrical Engineering and Automation,Hefei,China","School of Electrical Engineering and Automation, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Anhui University,School of Electrical Engineering and Automation,Hefei,China","institution_ids":["https://openalex.org/I143868143"]},{"raw_affiliation_string":"School of Electrical Engineering and Automation, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100619604","display_name":"Xiang Dong","orcid":"https://orcid.org/0000-0002-5508-6011"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Dong","raw_affiliation_strings":["Anhui University,School of Electrical Engineering and Automation,Hefei,China","School of Electrical Engineering and Automation, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Anhui University,School of Electrical Engineering and Automation,Hefei,China","institution_ids":["https://openalex.org/I143868143"]},{"raw_affiliation_string":"School of Electrical Engineering and Automation, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100637523","display_name":"Hui Zhang","orcid":"https://orcid.org/0000-0002-1443-2037"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hui Zhang","raw_affiliation_strings":["Jianghuai Advance Technology Center,Hefei,China","Jianghuai Advance Technology Center, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Jianghuai Advance Technology Center,Hefei,China","institution_ids":[]},{"raw_affiliation_string":"Jianghuai Advance Technology Center, Hefei, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102909275","display_name":"Ziwen Zhao","orcid":"https://orcid.org/0009-0009-6398-6667"},"institutions":[{"id":"https://openalex.org/I4210088511","display_name":"Inner Mongolia Electric Power (China)","ror":"https://ror.org/0041szh84","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210088511"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziwen Zhao","raw_affiliation_strings":["Inner Mongolia First Machinery Group Co,. Ltd,Hefei,China","Inner Mongolia First Machinery Group Co,. Ltd, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Inner Mongolia First Machinery Group Co,. Ltd,Hefei,China","institution_ids":["https://openalex.org/I4210088511"]},{"raw_affiliation_string":"Inner Mongolia First Machinery Group Co,. Ltd, Hefei, China","institution_ids":["https://openalex.org/I4210088511"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039955201","display_name":"Biao Yu","orcid":"https://orcid.org/0000-0002-3607-578X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I2802624667","display_name":"Hefei Institutes of Physical Science","ror":"https://ror.org/046n57345","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I2802624667"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Biao Yu","raw_affiliation_strings":["Hefei Institutes of Physical Science Chinese Academy of Sciences,Chinese Academy of Sciences,Hefei,China","Chinese Academy of Sciences, Hefei Institutes of Physical Science Chinese Academy of Sciences, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Hefei Institutes of Physical Science Chinese Academy of Sciences,Chinese Academy of Sciences,Hefei,China","institution_ids":["https://openalex.org/I2802624667"]},{"raw_affiliation_string":"Chinese Academy of Sciences, Hefei Institutes of Physical Science Chinese Academy of Sciences, Hefei, China","institution_ids":["https://openalex.org/I2802624667","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5105709086","display_name":"Hao Xu","orcid":"https://orcid.org/0009-0001-3179-5083"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Xu","raw_affiliation_strings":["Anhui University,School of Electrical Engineering and Automation,Hefei,China","School of Electrical Engineering and Automation, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Anhui University,School of Electrical Engineering and Automation,Hefei,China","institution_ids":["https://openalex.org/I143868143"]},{"raw_affiliation_string":"School of Electrical Engineering and Automation, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5102767917"],"corresponding_institution_ids":["https://openalex.org/I143868143"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0648215,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"97","issue":null,"first_page":"127","last_page":"132"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9997000098228455,"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"}},{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9993000030517578,"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":0.9991999864578247,"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/computer-science","display_name":"Computer science","score":0.7873985767364502},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.6361586451530457},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6000537872314453},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5422717928886414},{"id":"https://openalex.org/keywords/occupancy","display_name":"Occupancy","score":0.5307322144508362},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.4675748646259308},{"id":"https://openalex.org/keywords/low-resolution","display_name":"Low resolution","score":0.447367399930954},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.367264986038208},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36512258648872375},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.31483179330825806},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.09225872159004211},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09205785393714905}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7873985767364502},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.6361586451530457},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6000537872314453},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5422717928886414},{"id":"https://openalex.org/C160331591","wikidata":"https://www.wikidata.org/wiki/Q7075743","display_name":"Occupancy","level":2,"score":0.5307322144508362},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.4675748646259308},{"id":"https://openalex.org/C3019883945","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Low resolution","level":3,"score":0.447367399930954},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.367264986038208},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36512258648872375},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.31483179330825806},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.09225872159004211},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09205785393714905},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/icaci60820.2024.10537010","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icaci60820.2024.10537010","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 16th International Conference on Advanced Computational Intelligence (ICACI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"display_name":"Sustainable cities and communities","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"},{"id":"https://openalex.org/F4320335892","display_name":"Youth Innovation Promotion Association","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2890003176","https://openalex.org/W2948515602","https://openalex.org/W2963149042","https://openalex.org/W2989851631","https://openalex.org/W3034295100","https://openalex.org/W3034669477","https://openalex.org/W3035574168","https://openalex.org/W3100744475","https://openalex.org/W3102343027","https://openalex.org/W3109395584","https://openalex.org/W3138516171","https://openalex.org/W3169575318","https://openalex.org/W3196107618","https://openalex.org/W4214530037","https://openalex.org/W4312270296","https://openalex.org/W4312641958","https://openalex.org/W4401109681","https://openalex.org/W6762718338"],"related_works":["https://openalex.org/W4296995023","https://openalex.org/W2070173637","https://openalex.org/W3118545013","https://openalex.org/W2133155333","https://openalex.org/W1516116847","https://openalex.org/W2412281349","https://openalex.org/W4212954839","https://openalex.org/W4241811109","https://openalex.org/W4401570279","https://openalex.org/W3169440385"],"abstract_inverted_index":{"The":[0],"ability":[1],"to":[2,23,77,93,117],"predict":[3,26,85],"the":[4,27,31,35,49,53,133,136,141,153,159],"future":[5,28],"states":[6],"of":[7,30,155],"nearby":[8],"traffic":[9,58],"agents":[10,59],"is":[11,60,91,115],"critical":[12],"for":[13],"autonomous":[14],"vehicles.":[15],"Recently,":[16],"it":[17],"has":[18],"become":[19],"a":[20,61,67,110],"new":[21],"paradigm":[22],"sense":[24],"and":[25,84,100,123,147],"occupancy":[29,154],"surrounding":[32],"targets":[33,157],"from":[34],"Bird\u2019s":[36],"Eye":[37],"View":[38],"(BEV)":[39],"perspective,":[40],"utilizing":[41],"information":[42,119],"captured":[43],"by":[44,82,127],"multiple":[45,87,121],"cameras":[46],"mounted":[47],"on":[48,132,140],"vehicle.":[50],"However,":[51],"modeling":[52],"underlying":[54],"spatiotemporal":[55,69],"interactions":[56],"between":[57],"challenging":[62],"part.":[63],"This":[64,89],"paper":[65],"proposes":[66],"novel":[68],"BEV":[70,79],"pyramid":[71],"network":[72,90],"which":[73],"employs":[74],"Swin":[75],"Transformer":[76],"extract":[78],"features":[80,96,103],"transformed":[81],"images":[83],"across":[86],"scales.":[88],"designed":[92],"preserve":[94],"spatial":[95],"at":[97,105,120],"low":[98],"resolution":[99],"capture":[101],"semantic":[102],"embedded":[104],"high":[106],"resolution.":[107],"In":[108],"addition,":[109],"Feature":[111],"Alignment":[112],"Module":[113],"(FAM)":[114],"introduced":[116],"aggregate":[118],"scales":[122],"reduce":[124],"mispredictions":[125],"caused":[126],"feature":[128],"misalignment.":[129],"Through":[130],"validation":[131],"nuScenes":[134],"dataset,":[135],"proposed":[137],"method":[138],"improves":[139],"compared":[142],"previous":[143],"approaches":[144],"in":[145,151,158],"accuracy":[146],"demonstrates":[148],"an":[149],"enhancement":[150],"predicting":[152],"various":[156],"BEV.":[160]},"counts_by_year":[],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}