{"id":"https://openalex.org/W3000185012","doi":"https://doi.org/10.1109/mis.2020.2965502","title":"General Learning Modeling for AUV Position Tracking","display_name":"General Learning Modeling for AUV Position Tracking","publication_year":2020,"publication_date":"2020-01-09","ids":{"openalex":"https://openalex.org/W3000185012","doi":"https://doi.org/10.1109/mis.2020.2965502","mag":"3000185012"},"language":"en","primary_location":{"id":"doi:10.1109/mis.2020.2965502","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mis.2020.2965502","pdf_url":null,"source":{"id":"https://openalex.org/S114241109","display_name":"IEEE Intelligent Systems","issn_l":"1541-1672","issn":["1541-1672","1941-1294"],"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 Intelligent 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/A5100765883","display_name":"Jia Guo","orcid":"https://orcid.org/0000-0002-8859-9809"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]},{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN","SG"],"is_corresponding":false,"raw_author_name":"Jia Guo","raw_affiliation_strings":["Ocean University of China","National University of Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ocean University of China","institution_ids":["https://openalex.org/I59028903"]},{"raw_affiliation_string":"National University of Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073057754","display_name":"Rui Jiang","orcid":"https://orcid.org/0000-0003-0966-2943"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Rui Jiang","raw_affiliation_strings":["National University of Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100760748","display_name":"Bo He","orcid":"https://orcid.org/0000-0001-6826-4721"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo He","raw_affiliation_strings":["Ocean University of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ocean University of China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043972330","display_name":"Tianhong Yan","orcid":"https://orcid.org/0000-0003-3916-3926"},"institutions":[{"id":"https://openalex.org/I55538621","display_name":"China Jiliang University","ror":"https://ror.org/05v1y0t93","country_code":"CN","type":"education","lineage":["https://openalex.org/I55538621"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianhong Yan","raw_affiliation_strings":["China Jiliang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Jiliang University","institution_ids":["https://openalex.org/I55538621"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008501506","display_name":"Shuzhi Sam Ge","orcid":"https://orcid.org/0000-0001-5549-312X"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Shuzhi Sam Ge","raw_affiliation_strings":["National University of SingaporeQingdao University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of SingaporeQingdao University","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7114,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.6879014,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":96},"biblio":{"volume":"35","issue":"6","first_page":"28","last_page":"38"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.9997000098228455,"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":0.9997000098228455,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9987999796867371,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.998199999332428,"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/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.762149453163147},{"id":"https://openalex.org/keywords/simultaneous-localization-and-mapping","display_name":"Simultaneous localization and mapping","score":0.702243983745575},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.6841970682144165},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6717475652694702},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6603037118911743},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.6112457513809204},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.5555421113967896},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5536367893218994},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5100319981575012},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.5098389983177185},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.4351205825805664},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4346206486225128},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4322557747364044},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.41649672389030457},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.35970497131347656},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13467055559158325},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.1142427921295166},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.10178664326667786}],"concepts":[{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.762149453163147},{"id":"https://openalex.org/C86369673","wikidata":"https://www.wikidata.org/wiki/Q1203659","display_name":"Simultaneous localization and mapping","level":4,"score":0.702243983745575},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.6841970682144165},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6717475652694702},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6603037118911743},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.6112457513809204},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5555421113967896},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5536367893218994},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5100319981575012},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.5098389983177185},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.4351205825805664},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4346206486225128},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4322557747364044},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.41649672389030457},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.35970497131347656},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13467055559158325},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.1142427921295166},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.10178664326667786},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"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/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","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/mis.2020.2965502","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mis.2020.2965502","pdf_url":null,"source":{"id":"https://openalex.org/S114241109","display_name":"IEEE Intelligent Systems","issn_l":"1541-1672","issn":["1541-1672","1941-1294"],"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 Intelligent Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5699999928474426,"id":"https://metadata.un.org/sdg/14","display_name":"Life below water"}],"awards":[{"id":"https://openalex.org/G2795086968","display_name":null,"funder_award_id":"51379198","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G937552768","display_name":null,"funder_award_id":"31202036","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":23,"referenced_works":["https://openalex.org/W1552710151","https://openalex.org/W1591375184","https://openalex.org/W1969142081","https://openalex.org/W1977581467","https://openalex.org/W1994005439","https://openalex.org/W2007692097","https://openalex.org/W2007864935","https://openalex.org/W2013402723","https://openalex.org/W2020950478","https://openalex.org/W2091307069","https://openalex.org/W2109341802","https://openalex.org/W2111072639","https://openalex.org/W2121069620","https://openalex.org/W2132453268","https://openalex.org/W2139630381","https://openalex.org/W2142470497","https://openalex.org/W2154422147","https://openalex.org/W2170396296","https://openalex.org/W2172114485","https://openalex.org/W2338471795","https://openalex.org/W2379422757","https://openalex.org/W2554080489","https://openalex.org/W4249074720"],"related_works":["https://openalex.org/W2125308530","https://openalex.org/W2034836143","https://openalex.org/W2125871801","https://openalex.org/W1541079531","https://openalex.org/W2980755614","https://openalex.org/W2122489470","https://openalex.org/W1981991040","https://openalex.org/W2467646110","https://openalex.org/W2583542422","https://openalex.org/W1585960250"],"abstract_inverted_index":{"In":[0],"this":[1],"article,":[2],"we":[3,51],"propose":[4],"a":[5],"nonlinear":[6],"model":[7,56,61,67],"based":[8],"on":[9],"hidden-layer":[10,19,43],"neural":[11,20,44],"networks":[12,21],"and":[13,46,57,63,82,92,95,100,117,155,160],"local":[14,28,47,64],"Gaussian":[15,29,48],"process":[16,30,49,59,65,116],"regression.":[17],"The":[18],"have":[22,74],"short":[23],"training":[24],"time,":[25],"whereas":[26],"the":[27,39,53,70,114,135,146],"regression":[31],"is":[32],"more":[33,140],"suitable":[34],"for":[35,103],"nonlinearity.":[36],"According":[37],"to":[38,77],"abovementioned":[40],"advantages":[41],"of":[42,89],"network":[45],"regression,":[50],"get":[52],"measurement":[54,118],"learning":[55,60,66],"global":[58],"offline":[62],"online.":[68],"Then,":[69],"proposed":[71,136],"learning-based":[72],"models":[73],"been":[75,150],"applied":[76],"extended":[78],"Kalman":[79,97],"filter-simultaneous":[80],"localization":[81,99],"mapping":[83,93,101],"(EKF-SLAM),":[84],"Rao-Blackwellised":[85],"particle":[86],"filter":[87],"formulation":[88],"simultaneous":[90],"localisation":[91],"(FastSLAM),":[94],"unscented":[96],"filter--simultaneous":[98],"(UKF-SLAM)":[102],"autonomous":[104],"underwater":[105],"vehicles":[106],"position":[107,121],"tracking":[108,122],"with":[109,113],"field":[110],"experiments.":[111],"Compared":[112],"conventional":[115],"models,":[119],"improved":[120,151],"performance":[123],"can":[124],"be":[125],"achieved":[126],"without":[127],"cumbersome":[128],"system":[129],"analysis":[130],"nor":[131],"identification,":[132],"benefiting":[133],"from":[134],"model.":[137],"Experiments":[138],"in":[139,157],"than":[141],"3883-m":[142],"run":[143],"show":[144],"that":[145],"root-mean-square":[147],"error":[148],"has":[149],"by":[152],"36.95%,":[153],"37.14%,":[154],"27.65%":[156],"EKF-SLAM,":[158],"FastSLAM,":[159],"UKF-SLAM":[161],"frameworks,":[162],"respectively.":[163]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
