{"id":"https://openalex.org/W4417251855","doi":"https://doi.org/10.1109/taes.2025.3643402","title":"Bidirectional Joint State\u2013Memory Deep Bayesian Smoother for Motion Estimation","display_name":"Bidirectional Joint State\u2013Memory Deep Bayesian Smoother for Motion Estimation","publication_year":2025,"publication_date":"2025-12-11","ids":{"openalex":"https://openalex.org/W4417251855","doi":"https://doi.org/10.1109/taes.2025.3643402"},"language":null,"primary_location":{"id":"doi:10.1109/taes.2025.3643402","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2025.3643402","pdf_url":null,"source":{"id":"https://openalex.org/S193624734","display_name":"IEEE Transactions on Aerospace and Electronic Systems","issn_l":"0018-9251","issn":["0018-9251","1557-9603","2371-9877"],"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 Aerospace and Electronic Systems","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/A5100659469","display_name":"Yan Shi","orcid":"https://orcid.org/0000-0002-6123-9870"},"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":"Shi Yan","raw_affiliation_strings":["School of Automation, Northwestern Polytechnical University, Xi&#x2019;an, China","Northwestern Polytechnical University, Xi&#x0027;an, China"],"raw_orcid":"https://orcid.org/0000-0002-6123-9870","affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Northwestern Polytechnical University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100646875","display_name":"Yan Liang","orcid":"https://orcid.org/0000-0003-4798-4257"},"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":"Yan Liang","raw_affiliation_strings":["School of Automation, Northwestern Polytechnical University, Xi&#x2019;an, China","Northwestern Polytechnical University, Xi&#x0027;an, China"],"raw_orcid":"https://orcid.org/0000-0003-4798-4257","affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Northwestern Polytechnical University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101408516","display_name":"Huayu Zhang","orcid":"https://orcid.org/0009-0004-0956-9073"},"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":"Huayu Zhang","raw_affiliation_strings":["School of Automation, Northwestern Polytechnical University, Xi&#x2019;an, China","Northwestern Polytechnical University, Xi&#x0027;an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Northwestern Polytechnical University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100665342","display_name":"Le Zheng","orcid":"https://orcid.org/0000-0002-4972-9199"},"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":"Le Zheng","raw_affiliation_strings":["Radar Research Laboratory, School of Information and Electronics, Beijing Institute of Technology, Beijing, China","Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4972-9199","affiliations":[{"raw_affiliation_string":"Radar Research Laboratory, School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085848346","display_name":"Difan Zou","orcid":"https://orcid.org/0000-0002-6544-2593"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Difan Zou","raw_affiliation_strings":["Department of Computer Science, University of Hong Kong, Pokfulam, China","The University of Hong Kong, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Hong Kong, Pokfulam, China","institution_ids":["https://openalex.org/I889458895"]},{"raw_affiliation_string":"The University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043220498","display_name":"Binglu Wang","orcid":"https://orcid.org/0000-0002-9266-4685"},"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":"Binglu Wang","raw_affiliation_strings":["School of Automation, Northwestern Polytechnical University, Xi&#x2019;an, China","Northwestern Polytechnical University, Xi&#x0027;an, China"],"raw_orcid":"https://orcid.org/0000-0002-9266-4685","affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Northwestern Polytechnical University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.9551,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.93669578,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"62","issue":null,"first_page":"2806","last_page":"2824"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12125","display_name":"Aerospace and Aviation Technology","score":0.38339999318122864,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T12125","display_name":"Aerospace and Aviation Technology","score":0.38339999318122864,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10531","display_name":"Advanced Vision and Imaging","score":0.11309999972581863,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.08479999750852585,"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/interpretability","display_name":"Interpretability","score":0.7785999774932861},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.7317000031471252},{"id":"https://openalex.org/keywords/recursive-bayesian-estimation","display_name":"Recursive Bayesian estimation","score":0.6998999714851379},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.6182000041007996},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.4133000075817108},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.4108999967575073},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.3743000030517578},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.37130001187324524}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.7785999774932861},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.7317000031471252},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7311999797821045},{"id":"https://openalex.org/C40343088","wikidata":"https://www.wikidata.org/wiki/Q3059012","display_name":"Recursive Bayesian estimation","level":3,"score":0.6998999714851379},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6182000041007996},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5152000188827515},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.4133000075817108},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4108999967575073},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.3743000030517578},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.37130001187324524},{"id":"https://openalex.org/C68022304","wikidata":"https://www.wikidata.org/wiki/Q842217","display_name":"Bayes estimator","level":3,"score":0.37119999527931213},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3693000078201294},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3668000102043152},{"id":"https://openalex.org/C71983512","wikidata":"https://www.wikidata.org/wiki/Q7915687","display_name":"Variable-order Bayesian network","level":4,"score":0.362199991941452},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.32690000534057617},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.3246999979019165},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.3001999855041504},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.2903999984264374},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2775000035762787},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.26750001311302185},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.26420000195503235},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.26159998774528503},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2581999897956848},{"id":"https://openalex.org/C41426520","wikidata":"https://www.wikidata.org/wiki/Q1192065","display_name":"Point estimation","level":2,"score":0.257099986076355},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.250900000333786}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taes.2025.3643402","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2025.3643402","pdf_url":null,"source":{"id":"https://openalex.org/S193624734","display_name":"IEEE Transactions on Aerospace and Electronic Systems","issn_l":"0018-9251","issn":["0018-9251","1557-9603","2371-9877"],"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 Aerospace and Electronic Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3247450572","display_name":null,"funder_award_id":"62401447I","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4533150499","display_name":null,"funder_award_id":"62573357","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":73,"referenced_works":["https://openalex.org/W1859545660","https://openalex.org/W1988827501","https://openalex.org/W1994882049","https://openalex.org/W1997253917","https://openalex.org/W1997694565","https://openalex.org/W2000721204","https://openalex.org/W2003967703","https://openalex.org/W2009331766","https://openalex.org/W2034543950","https://openalex.org/W2037799844","https://openalex.org/W2051992184","https://openalex.org/W2056359472","https://openalex.org/W2061893297","https://openalex.org/W2094227853","https://openalex.org/W2094385794","https://openalex.org/W2101051269","https://openalex.org/W2103632679","https://openalex.org/W2117397690","https://openalex.org/W2131774270","https://openalex.org/W2146485022","https://openalex.org/W2150355110","https://openalex.org/W2151797657","https://openalex.org/W2152670243","https://openalex.org/W2161129698","https://openalex.org/W2168736992","https://openalex.org/W2187434756","https://openalex.org/W2294322297","https://openalex.org/W2343568200","https://openalex.org/W2588669271","https://openalex.org/W2781206324","https://openalex.org/W2922922453","https://openalex.org/W2943989682","https://openalex.org/W2947451847","https://openalex.org/W2948300920","https://openalex.org/W2949856406","https://openalex.org/W2963203809","https://openalex.org/W3009123393","https://openalex.org/W3016553543","https://openalex.org/W3027939032","https://openalex.org/W3034826969","https://openalex.org/W3045468192","https://openalex.org/W3108189734","https://openalex.org/W3112170415","https://openalex.org/W3129778597","https://openalex.org/W3155119506","https://openalex.org/W3167705651","https://openalex.org/W3176417267","https://openalex.org/W3183282730","https://openalex.org/W3197867394","https://openalex.org/W4206907900","https://openalex.org/W4226294020","https://openalex.org/W4226529642","https://openalex.org/W4232094063","https://openalex.org/W4280510766","https://openalex.org/W4285251603","https://openalex.org/W4299551239","https://openalex.org/W4367721852","https://openalex.org/W4385245566","https://openalex.org/W4386322213","https://openalex.org/W4386453487","https://openalex.org/W4388343237","https://openalex.org/W4388757121","https://openalex.org/W4390025112","https://openalex.org/W4390822412","https://openalex.org/W4392903281","https://openalex.org/W4395069624","https://openalex.org/W4399110731","https://openalex.org/W4399849857","https://openalex.org/W4400919127","https://openalex.org/W4403274268","https://openalex.org/W4405614679","https://openalex.org/W4405906882","https://openalex.org/W4407403550"],"related_works":[],"abstract_inverted_index":{"Capturing":[0],"the":[1,17,46,64,105,111,126,132,157],"mutual":[2],"dependencies":[3],"among":[4],"states":[5],"is":[6,54,108],"crucial":[7],"for":[8,24,42],"practical":[9],"fixed-interval":[10],"smoothing":[11,85,163],"problems":[12],"in":[13,160],"motion":[14,43],"estimation.":[15,27],"However,":[16],"resulting":[18],"non-causal":[19],"properties":[20],"present":[21],"significant":[22],"challenges":[23],"recursive":[25,73,127],"Bayesian":[26,38,74,84,92,137],"In":[28],"this":[29],"paper,":[30],"we":[31,80],"propose":[32],"a":[33,82,117],"bidirectional":[34,60,67,89,122],"joint":[35],"state-memory":[36],"deep":[37,83],"smoother,":[39],"specifically":[40],"designed":[41,115],"estimation":[44,93,102],"under":[45,91],"leave-one-out":[47],"all-state":[48],"(LOOAS)":[49],"model.":[50],"The":[51,99],"LOOAS":[52],"model":[53,144],"first":[55],"transformed":[56],"into":[57],"an":[58],"equivalent":[59],"memory":[61,123],"model,":[62],"enabling":[63],"capture":[65],"of":[66,104,131,162],"state":[68],"evolution":[69],"dynamics":[70],"while":[71],"supporting":[72],"smoothing.":[75],"By":[76],"incorporating":[77],"offline":[78,147],"data,":[79],"derive":[81],"framework":[86,107],"that":[87],"integrates":[88],"information":[90],"theory,":[94,138],"ensuring":[95],"consistency":[96],"between":[97],"memories.":[98],"Gaussian":[100],"point":[101],"implementation":[103],"proposed":[106,158],"derived,":[109],"and":[110,128,153,167],"internal":[112],"networks":[113],"are":[114,134],"with":[116,146],"cross-attention":[118],"mechanism":[119],"to":[120],"enable":[121],"interaction.":[124],"Both":[125],"gated":[129],"structures":[130],"method":[133,159],"derived":[135],"from":[136],"offering":[139],"interpretability":[140],"by":[141],"integrating":[142],"prior":[143],"knowledge":[145],"data.":[148],"Experiments":[149],"on":[150],"real-world":[151],"aircraft":[152],"vehicle":[154],"datasets":[155],"evaluate":[156],"terms":[161],"performance,":[164],"parameter":[165],"utilization":[166],"data":[168],"efficiency.":[169]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-18T07:39:51.176621","created_date":"2025-12-11T00:00:00"}
