{"id":"https://openalex.org/W2767906865","doi":"https://doi.org/10.1109/tim.2017.2764358","title":"Computationally Efficient Pitch and Roll Estimation Using a Unit Direction Vector","display_name":"Computationally Efficient Pitch and Roll Estimation Using a Unit Direction Vector","publication_year":2017,"publication_date":"2017-11-06","ids":{"openalex":"https://openalex.org/W2767906865","doi":"https://doi.org/10.1109/tim.2017.2764358","mag":"2767906865"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2017.2764358","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2017.2764358","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","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/A5032130482","display_name":"Young Soo Suh","orcid":"https://orcid.org/0000-0003-2958-5383"},"institutions":[{"id":"https://openalex.org/I40542001","display_name":"University of Ulsan","ror":"https://ror.org/02c2f8975","country_code":"KR","type":"education","lineage":["https://openalex.org/I40542001"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Young Soo Suh","raw_affiliation_strings":["Department of Electrical Engineering, University of Ulsan, Ulsan, South Korea"],"raw_orcid":"https://orcid.org/0000-0003-2958-5383","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Ulsan, Ulsan, South Korea","institution_ids":["https://openalex.org/I40542001"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5032130482"],"corresponding_institution_ids":["https://openalex.org/I40542001"],"apc_list":null,"apc_paid":null,"fwci":15.9491,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.98524696,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"67","issue":"2","first_page":"459","last_page":"465"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11325","display_name":"Inertial Sensor and Navigation","score":0.9998999834060669,"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/T11325","display_name":"Inertial Sensor and Navigation","score":0.9998999834060669,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9847000241279602,"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/T12719","display_name":"Aerospace Engineering and Energy Systems","score":0.983299970626831,"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":0.7867007255554199},{"id":"https://openalex.org/keywords/scalar","display_name":"Scalar (mathematics)","score":0.6883096694946289},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5584556460380554},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.5275342464447021},{"id":"https://openalex.org/keywords/pitch-angle","display_name":"Pitch angle","score":0.5149388909339905},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.49513569474220276},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47009679675102234},{"id":"https://openalex.org/keywords/unit-vector","display_name":"Unit vector","score":0.44106918573379517},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.42151299118995667},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35113072395324707},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12967538833618164},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.1256617307662964},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.09583383798599243},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09435829520225525},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07893785834312439}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.7867007255554199},{"id":"https://openalex.org/C57691317","wikidata":"https://www.wikidata.org/wiki/Q1289248","display_name":"Scalar (mathematics)","level":2,"score":0.6883096694946289},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5584556460380554},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.5275342464447021},{"id":"https://openalex.org/C2777581452","wikidata":"https://www.wikidata.org/wiki/Q4363928","display_name":"Pitch angle","level":2,"score":0.5149388909339905},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.49513569474220276},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47009679675102234},{"id":"https://openalex.org/C84316537","wikidata":"https://www.wikidata.org/wiki/Q36255","display_name":"Unit vector","level":2,"score":0.44106918573379517},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.42151299118995667},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35113072395324707},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12967538833618164},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.1256617307662964},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.09583383798599243},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09435829520225525},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07893785834312439},{"id":"https://openalex.org/C8058405","wikidata":"https://www.wikidata.org/wiki/Q46255","display_name":"Geophysics","level":1,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2017.2764358","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2017.2764358","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1803664217","display_name":null,"funder_award_id":"2016R1D1A1A09918657","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W636927631","https://openalex.org/W1500564636","https://openalex.org/W1969739853","https://openalex.org/W2014757721","https://openalex.org/W2045308959","https://openalex.org/W2056201856","https://openalex.org/W2062542362","https://openalex.org/W2064793492","https://openalex.org/W2107766390","https://openalex.org/W2116394929","https://openalex.org/W2126622293","https://openalex.org/W2139362983","https://openalex.org/W2140268640","https://openalex.org/W2144593983","https://openalex.org/W2149841884","https://openalex.org/W2160146756","https://openalex.org/W2161872204","https://openalex.org/W2162264349","https://openalex.org/W2199469138","https://openalex.org/W2296432816","https://openalex.org/W2305286402","https://openalex.org/W2467377838","https://openalex.org/W2532146065","https://openalex.org/W2550469467","https://openalex.org/W2568677893","https://openalex.org/W2929771774","https://openalex.org/W2953204600","https://openalex.org/W6679230467","https://openalex.org/W6698047899"],"related_works":["https://openalex.org/W2089114113","https://openalex.org/W2389555968","https://openalex.org/W2352634297","https://openalex.org/W2320550378","https://openalex.org/W2103062922","https://openalex.org/W2162299404","https://openalex.org/W2900391131","https://openalex.org/W1657752397","https://openalex.org/W3185162478","https://openalex.org/W1633787648"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"a":[3,20],"new":[4],"attitude":[5],"estimation":[6,25],"algorithm":[7,51,57],"for":[8],"pitch":[9],"and":[10,14,23,66],"roll":[11,15],"angles.":[12],"Pitch":[13],"angles":[16],"are":[17,43],"represented":[18],"by":[19],"unit":[21],"vector,":[22],"its":[24],"error":[26,40],"is":[27,37,52,58],"estimated":[28],"in":[29],"the":[30,39,49,70,73],"Kalman":[31],"filter.":[32],"The":[33,55],"main":[34],"theoretical":[35],"contribution":[36],"that":[38],"covariance":[41],"equations":[42],"simplified":[44],"to":[45,61],"scalar":[46],"equations.":[47],"Thus,":[48],"proposed":[50,56,74],"computationally":[53],"efficient.":[54],"also":[59],"applied":[60],"vertical":[62],"movement":[63],"estimation.":[64],"Simulation":[65],"experiment":[67],"results":[68],"show":[69],"effectiveness":[71],"of":[72],"method.":[75]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2018,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}