{"id":"https://openalex.org/W7137280248","doi":"https://doi.org/10.1109/lsp.2026.3674623","title":"IMUDistill: Knowledge Transfer for Enhancing Low Precision IMU Performance","display_name":"IMUDistill: Knowledge Transfer for Enhancing Low Precision IMU Performance","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7137280248","doi":"https://doi.org/10.1109/lsp.2026.3674623"},"language":null,"primary_location":{"id":"doi:10.1109/lsp.2026.3674623","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2026.3674623","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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/A5129476075","display_name":"Sumit Mishra","orcid":null},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sumit Mishra","raw_affiliation_strings":["Robotics Program, Korea Advanced Institute of Science and Technology, Daejeon, South Korea"],"raw_orcid":"https://orcid.org/0000-0003-2687-2862","affiliations":[{"raw_affiliation_string":"Robotics Program, Korea Advanced Institute of Science and Technology, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101926748","display_name":"Hitesh Kumar","orcid":null},"institutions":[{"id":"https://openalex.org/I1301507905","display_name":"Tata Motors (India)","ror":"https://ror.org/00b1tsa05","country_code":"IN","type":"company","lineage":["https://openalex.org/I1301507905","https://openalex.org/I4210086519"]},{"id":"https://openalex.org/I2801120862","display_name":"General Motors (India)","ror":"https://ror.org/05g5nrw43","country_code":"IN","type":"company","lineage":["https://openalex.org/I118136607","https://openalex.org/I2801120862"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Hitesh Kumar","raw_affiliation_strings":["Euler Motors, New Delhi, India"],"raw_orcid":"https://orcid.org/0000-0003-0203-1516","affiliations":[{"raw_affiliation_string":"Euler Motors, New Delhi, India","institution_ids":["https://openalex.org/I1301507905","https://openalex.org/I2801120862"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103559601","display_name":"Kuk Won Ko","orcid":null},"institutions":[{"id":"https://openalex.org/I122706678","display_name":"Halla University","ror":"https://ror.org/03kw5ag50","country_code":"KR","type":"education","lineage":["https://openalex.org/I122706678"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kuk Won Ko","raw_affiliation_strings":["Department of Future Mobility Engineering, Halla University, Gangwon-do, South Korea"],"raw_orcid":"https://orcid.org/0009-0003-0870-8492","affiliations":[{"raw_affiliation_string":"Department of Future Mobility Engineering, Halla University, Gangwon-do, South Korea","institution_ids":["https://openalex.org/I122706678"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005393869","display_name":"Dongsoo Har","orcid":"https://orcid.org/0000-0002-6949-1739"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dongsoo Har","raw_affiliation_strings":["CCS Graduate School of Mobility, Korea Advanced Institute of Science and Technology, Daejeon, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-6949-1739","affiliations":[{"raw_affiliation_string":"CCS Graduate School of Mobility, Korea Advanced Institute of Science and Technology, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.35989084,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":null,"first_page":"1366","last_page":"1370"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.0272000003606081,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.0272000003606081,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T14163","display_name":"Astronomical Observations and Instrumentation","score":0.026499999687075615,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10906","display_name":"AI-based Problem Solving and Planning","score":0.016899999231100082,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.4794999957084656},{"id":"https://openalex.org/keywords/knowledge-transfer","display_name":"Knowledge transfer","score":0.3452000021934509},{"id":"https://openalex.org/keywords/knowledge-based-systems","display_name":"Knowledge-based systems","score":0.32580000162124634},{"id":"https://openalex.org/keywords/transfer","display_name":"Transfer (computing)","score":0.32179999351501465},{"id":"https://openalex.org/keywords/radar-tracker","display_name":"Radar tracker","score":0.3001999855041504},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.2930000126361847}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7038999795913696},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5051000118255615},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.4794999957084656},{"id":"https://openalex.org/C2776960227","wikidata":"https://www.wikidata.org/wiki/Q2586354","display_name":"Knowledge transfer","level":2,"score":0.3452000021934509},{"id":"https://openalex.org/C115925183","wikidata":"https://www.wikidata.org/wiki/Q1412694","display_name":"Knowledge-based systems","level":2,"score":0.32580000162124634},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.32179999351501465},{"id":"https://openalex.org/C32283439","wikidata":"https://www.wikidata.org/wiki/Q1407014","display_name":"Radar tracker","level":3,"score":0.3001999855041504},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.2930000126361847},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2913999855518341},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.26669999957084656},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.26660001277923584},{"id":"https://openalex.org/C81299745","wikidata":"https://www.wikidata.org/wiki/Q334269","display_name":"Transfer function","level":2,"score":0.26440000534057617},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.26080000400543213},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.2551000118255615}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2026.3674623","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2026.3674623","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Inertial":[0],"measurement":[1],"unit":[2],"(IMU)":[3],"is":[4,57,85,133],"a":[5,15],"critical":[6],"component":[7],"for":[8,108],"autonomous":[9],"robot":[10],"navigation.":[11],"This":[12],"paper":[13],"presents":[14],"novel":[16],"training":[17,69],"framework":[18,43,132],"that":[19,78,130],"uses":[20],"knowledge":[21,83],"distillation":[22],"to":[23,59,120],"enhance":[24],"low":[25,28,65,71,122],"end,":[26],"or":[27],"precision,":[29],"IMU":[30,54,73,124],"performance":[31],"by":[32],"transferring":[33],"learned":[34],"representations":[35],"from":[36],"high":[37,52],"end":[38,53,66,72,123],"IMU.":[39,67],"In":[40],"the":[41,61,70,89,115],"proposed":[42,131],"consisting":[44],"of":[45,95],"dual":[46],"branch,":[47,74],"teacher":[48],"branch":[49,63],"trained":[50],"with":[51,64,88,103,111],"sensor":[55],"data":[56],"used":[58],"train":[60],"student":[62],"For":[68],"combined":[75],"loss":[76],"function":[77],"balances":[79],"signal":[80],"matching":[81],"and":[82,106,139],"transfer":[84],"used.":[86],"Testing":[87],"MAGF-ID":[90],"dataset":[91],"demonstrates":[92],"substantial":[93],"reduction":[94],"mean":[96],"absolute":[97],"error":[98,137],"as":[99,101,118],"much":[100],"39-65%":[102],"accelerometer":[104],"measurements":[105],"47-70%":[107],"gyroscope":[109],"readings":[110],"best":[112],"improvement":[113],"in":[114,135],"(gyroscope)":[116],"X-axis,":[117],"compared":[119],"original":[121],"measurements.":[125],"Qualitative":[126],"analysis":[127],"also":[128],"reveals":[129],"efficient":[134],"systematic":[136],"correction":[138],"noise":[140],"suppression.":[141]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-03-17T00:00:00"}
