{"id":"https://openalex.org/W2759029002","doi":"https://doi.org/10.1109/mwscas.2017.8053195","title":"A dynamic model-aided sensor fusion approach to aircraft attitude estimation","display_name":"A dynamic model-aided sensor fusion approach to aircraft attitude estimation","publication_year":2017,"publication_date":"2017-08-01","ids":{"openalex":"https://openalex.org/W2759029002","doi":"https://doi.org/10.1109/mwscas.2017.8053195","mag":"2759029002"},"language":"en","primary_location":{"id":"doi:10.1109/mwscas.2017.8053195","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mwscas.2017.8053195","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 60th International Midwest Symposium on Circuits and Systems (MWSCAS)","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/A5029418102","display_name":"Matthew B. Rhudy","orcid":"https://orcid.org/0000-0001-7613-4003"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Matthew Rhudy","raw_affiliation_strings":["Division of Engineering, Pennsylvania State University, Reading, PA, USA"],"affiliations":[{"raw_affiliation_string":"Division of Engineering, Pennsylvania State University, Reading, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5029418102"],"corresponding_institution_ids":["https://openalex.org/I130769515"],"apc_list":null,"apc_paid":null,"fwci":0.39,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.70908118,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9997000098228455,"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"}},{"id":"https://openalex.org/T11325","display_name":"Inertial Sensor and Navigation","score":0.9997000098228455,"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/T12125","display_name":"Aerospace and Aviation Technology","score":0.9980000257492065,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.7937805652618408},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.7293300628662109},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.623165488243103},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5780911445617676},{"id":"https://openalex.org/keywords/inertial-frame-of-reference","display_name":"Inertial frame of reference","score":0.564908504486084},{"id":"https://openalex.org/keywords/attitude-control","display_name":"Attitude control","score":0.5151883363723755},{"id":"https://openalex.org/keywords/information-fusion","display_name":"Information fusion","score":0.4927268326282501},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.4815266728401184},{"id":"https://openalex.org/keywords/soft-sensor","display_name":"Soft sensor","score":0.45087170600891113},{"id":"https://openalex.org/keywords/inertial-navigation-system","display_name":"Inertial navigation system","score":0.4216604232788086},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.41632404923439026},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.38668113946914673},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3383738398551941},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25435900688171387}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.7937805652618408},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.7293300628662109},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.623165488243103},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5780911445617676},{"id":"https://openalex.org/C173386949","wikidata":"https://www.wikidata.org/wiki/Q192735","display_name":"Inertial frame of reference","level":2,"score":0.564908504486084},{"id":"https://openalex.org/C155710575","wikidata":"https://www.wikidata.org/wiki/Q83001","display_name":"Attitude control","level":2,"score":0.5151883363723755},{"id":"https://openalex.org/C2982962833","wikidata":"https://www.wikidata.org/wiki/Q17092450","display_name":"Information fusion","level":2,"score":0.4927268326282501},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.4815266728401184},{"id":"https://openalex.org/C115575686","wikidata":"https://www.wikidata.org/wiki/Q18822403","display_name":"Soft sensor","level":3,"score":0.45087170600891113},{"id":"https://openalex.org/C128651787","wikidata":"https://www.wikidata.org/wiki/Q570607","display_name":"Inertial navigation system","level":3,"score":0.4216604232788086},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.41632404923439026},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.38668113946914673},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3383738398551941},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25435900688171387},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mwscas.2017.8053195","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mwscas.2017.8053195","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 60th International Midwest Symposium on Circuits and Systems (MWSCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.699999988079071,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W26752759","https://openalex.org/W1527862143","https://openalex.org/W1534966272","https://openalex.org/W1539436111","https://openalex.org/W1558470758","https://openalex.org/W1970740683","https://openalex.org/W2020934227","https://openalex.org/W2037865656","https://openalex.org/W2065929388","https://openalex.org/W2083402998","https://openalex.org/W2151551932","https://openalex.org/W2157907881","https://openalex.org/W2317952253","https://openalex.org/W2331699772","https://openalex.org/W3022480384"],"related_works":["https://openalex.org/W2091018038","https://openalex.org/W2097933059","https://openalex.org/W2374290272","https://openalex.org/W2225378543","https://openalex.org/W4386158748","https://openalex.org/W4287122200","https://openalex.org/W9839718","https://openalex.org/W4313886815","https://openalex.org/W2773722138","https://openalex.org/W2038183074"],"abstract_inverted_index":{"Attitude":[0],"is":[1,53,59],"an":[2,43,66],"important":[3],"consideration":[4],"for":[5,11,91,105],"aircraft":[6,67,73,98,118],"due":[7],"to":[8,27,96],"its":[9],"necessity":[10],"control":[12,55],"and":[13,32,62],"other":[14,80],"purposes":[15],"such":[16,35],"as":[17,36],"remote":[18],"sensing.":[19],"Sensor":[20],"fusion":[21,109],"techniques":[22,86],"are":[23],"a":[24,88,116],"popular":[25],"approach":[26],"attitude":[28],"estimation":[29],"since":[30],"low-cost":[31],"lightweight":[33],"sensors":[34,38],"inertial":[37],"can":[39,70],"be":[40],"utilized.":[41],"However,":[42],"additional":[44],"source":[45],"of":[46],"information":[47,58,76,95],"that":[48],"has":[49],"been":[50],"mostly":[51],"overlooked":[52],"the":[54,72,103],"inputs.":[56],"This":[57,75,100],"typically":[60],"known,":[61],"when":[63,77],"coupled":[64],"with":[65,79,111],"dynamic":[68,119],"model,":[69],"predict":[71,97],"states.":[74],"fused":[78],"sensor":[81,108],"measurements":[82],"through":[83],"Kalman":[84],"filtering":[85],"offers":[87],"reasonable":[89],"method":[90],"using":[92],"all":[93],"available":[94],"attitude.":[99],"work":[101],"presents":[102],"procedure":[104],"implementing":[106],"this":[107],"idea":[110],"some":[112],"simulation":[113],"results":[114],"from":[115],"known":[117],"model.":[120]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}