{"id":"https://openalex.org/W4404031663","doi":"https://doi.org/10.1109/icccnt61001.2024.10725000","title":"Efficient Attitude Estimation Through a Multilayer Perceptron Neural Network Based on Multi-Data Sensor Fusion Approaches","display_name":"Efficient Attitude Estimation Through a Multilayer Perceptron Neural Network Based on Multi-Data Sensor Fusion Approaches","publication_year":2024,"publication_date":"2024-06-24","ids":{"openalex":"https://openalex.org/W4404031663","doi":"https://doi.org/10.1109/icccnt61001.2024.10725000"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt61001.2024.10725000","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icccnt61001.2024.10725000","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)","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/A5092822131","display_name":"Hamza Mailka","orcid":"https://orcid.org/0000-0003-3537-7150"},"institutions":[{"id":"https://openalex.org/I126477371","display_name":"Mohammed V University","ror":"https://ror.org/00r8w8f84","country_code":"MA","type":"education","lineage":["https://openalex.org/I126477371"]}],"countries":["MA"],"is_corresponding":true,"raw_author_name":"Hamza Mailka","raw_affiliation_strings":["Mohammed V University in Rabat,Laboratory of Systems Analysis, Information Processing and Industrial Management High School of Technology of Sal&#x00E9;,Morocco"],"affiliations":[{"raw_affiliation_string":"Mohammed V University in Rabat,Laboratory of Systems Analysis, Information Processing and Industrial Management High School of Technology of Sal&#x00E9;,Morocco","institution_ids":["https://openalex.org/I126477371"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100338757","display_name":"Mohamed Abouzahir","orcid":"https://orcid.org/0000-0003-1652-5904"},"institutions":[{"id":"https://openalex.org/I126477371","display_name":"Mohammed V University","ror":"https://ror.org/00r8w8f84","country_code":"MA","type":"education","lineage":["https://openalex.org/I126477371"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Mohamed Abouzahir","raw_affiliation_strings":["Mohammed V University in Rabat,Laboratory of Systems Analysis, Information Processing and Industrial Management High School of Technology of Sal&#x00E9;,Morocco"],"affiliations":[{"raw_affiliation_string":"Mohammed V University in Rabat,Laboratory of Systems Analysis, Information Processing and Industrial Management High School of Technology of Sal&#x00E9;,Morocco","institution_ids":["https://openalex.org/I126477371"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012202001","display_name":"Mustapha Ramzi","orcid":"https://orcid.org/0000-0002-0815-7390"},"institutions":[{"id":"https://openalex.org/I126477371","display_name":"Mohammed V University","ror":"https://ror.org/00r8w8f84","country_code":"MA","type":"education","lineage":["https://openalex.org/I126477371"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Mustapha Ramzi","raw_affiliation_strings":["Mohammed V University in Rabat,Laboratory of Systems Analysis, Information Processing and Industrial Management High School of Technology of Sal&#x00E9;,Morocco"],"affiliations":[{"raw_affiliation_string":"Mohammed V University in Rabat,Laboratory of Systems Analysis, Information Processing and Industrial Management High School of Technology of Sal&#x00E9;,Morocco","institution_ids":["https://openalex.org/I126477371"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5092822131"],"corresponding_institution_ids":["https://openalex.org/I126477371"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10966329,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11325","display_name":"Inertial Sensor and Navigation","score":0.9068999886512756,"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":0.9068999886512756,"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/sensor-fusion","display_name":"Sensor fusion","score":0.7089065313339233},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.698211669921875},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6870790719985962},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.6569566130638123},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5665218830108643},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.5026504993438721},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.48874902725219727},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.431385338306427},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4074883759021759},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4016057550907135},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3356584906578064},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11714473366737366}],"concepts":[{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.7089065313339233},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.698211669921875},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6870790719985962},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.6569566130638123},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5665218830108643},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.5026504993438721},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.48874902725219727},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.431385338306427},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4074883759021759},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4016057550907135},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3356584906578064},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11714473366737366},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems 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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt61001.2024.10725000","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icccnt61001.2024.10725000","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6800000071525574,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1542466602","https://openalex.org/W1994544962","https://openalex.org/W2125691646","https://openalex.org/W2139362983","https://openalex.org/W2160146756","https://openalex.org/W2397744201","https://openalex.org/W2466559273","https://openalex.org/W3153066392","https://openalex.org/W4310664596","https://openalex.org/W4386394365","https://openalex.org/W4389204488","https://openalex.org/W4399236869"],"related_works":["https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2076543106","https://openalex.org/W2152662039","https://openalex.org/W2523437662","https://openalex.org/W89844371","https://openalex.org/W2019891950","https://openalex.org/W2085842814","https://openalex.org/W4286643620"],"abstract_inverted_index":{"Inertial":[0],"sensor":[1,108,151],"attitude":[2,32,101,185],"estimation":[3],"is":[4,132,211],"essential":[5],"for":[6,49,213],"many":[7],"applications,":[8],"ranging":[9],"from":[10,137],"self-driving":[11],"cars":[12],"to":[13,55,79,95,155,160,173,180],"tracking":[14],"human":[15],"movement.":[16],"Ambient":[17],"conditions,":[18,43],"the":[19,72,97,100,128,133,138,191,195,199,208,214],"presence":[20],"of":[21,99,127,135],"disturbances,":[22],"and":[23,41,64,204],"motion":[24,39,51],"characteristics":[25],"vary":[26],"throughout":[27],"application":[28],"scenarios.":[29,52],"Since":[30],"modern":[31],"estimators":[33],"do":[34],"not":[35,76],"generalize":[36],"across":[37],"different":[38],"features":[40],"ambient":[42],"their":[44],"parameters":[45],"must":[46],"be":[47,77,144,156],"changed":[48],"particular":[50],"In":[53,69,93],"order":[54,94,159,179],"provide":[56,80],"precise":[57],"navigational":[58],"solutions,":[59],"global":[60],"positioning":[61],"systems":[62],"(GPS)":[63],"IMUs":[65],"are":[66],"usually":[67],"combined.":[68],"signal-challenged":[70],"areas,":[71],"GPS":[73],"receiver":[74],"will":[75,87],"able":[78],"accurate":[81],"location":[82],"information.":[83],"The":[84,165,187],"integration":[85],"system":[86,110],"therefore":[88],"become":[89],"an":[90],"IMU-independent":[91],"system.":[92],"improve":[96],"performance":[98],"estimator,":[102],"this":[103],"paper":[104],"describes":[105],"a":[106,116,123,150,169,175,182],"multi-data":[107],"fusion":[109,152,163],"that":[111,194],"integrates":[112],"IMU":[113],"data":[114],"using":[115],"multi-layer":[117],"perceptron":[118,171],"neural":[119],"network.":[120],"When":[121],"estimating":[122],"vehicle\u2019s":[124],"attitude,":[125],"one":[126],"most":[129],"important":[130],"factors":[131],"multi-combination":[134],"measurements":[136],"MARG":[139],"sensor.":[140],"This":[141],"problem":[142],"cannot":[143],"solved":[145],"by":[146],"classical":[147],"estimators;":[148],"instead,":[149],"method":[153],"needs":[154],"created":[157],"in":[158,178],"produce":[161,181],"reliable":[162],"outcomes.":[164],"authors":[166],"suggest":[167],"utilizing":[168],"multilayer":[170],"model":[172],"execute":[174],"successful":[176],"prediction":[177],"highly":[183],"exact":[184],"estimation.":[186,216],"tests":[188],"conducted":[189],"on":[190],"sequence":[192],"demonstrate":[193],"result":[196],"produced":[197],"surpasses":[198],"state-of-the-art,":[200],"including":[201],"Madgwick,":[202],"Mahony,":[203],"complementary":[205],"filters,":[206],"when":[207],"right":[209],"dataset":[210],"used":[212],"orientation":[215]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
