{"id":"https://openalex.org/W3198896504","doi":"https://doi.org/10.3103/s0146411621040076","title":"Neural Network-Based Indoor Autonomously-Navigated AGV Motion Trajectory Data Fusion","display_name":"Neural Network-Based Indoor Autonomously-Navigated AGV Motion Trajectory Data Fusion","publication_year":2021,"publication_date":"2021-07-01","ids":{"openalex":"https://openalex.org/W3198896504","doi":"https://doi.org/10.3103/s0146411621040076","mag":"3198896504"},"language":"en","primary_location":{"id":"doi:10.3103/s0146411621040076","is_oa":false,"landing_page_url":"https://doi.org/10.3103/s0146411621040076","pdf_url":null,"source":{"id":"https://openalex.org/S17203304","display_name":"Automatic Control and Computer Sciences","issn_l":"0146-4116","issn":["0146-4116","1558-108X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320267","host_organization_name":"Pleiades Publishing","host_organization_lineage":["https://openalex.org/P4310320267","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Pleiades Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Automatic Control and Computer Sciences","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/A5067949425","display_name":"Yanming Quan","orcid":"https://orcid.org/0000-0003-1255-3510"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yanming Quan","raw_affiliation_strings":["School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004458726","display_name":"Lingwei Huang","orcid":"https://orcid.org/0000-0002-0653-018X"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingwei Huang","raw_affiliation_strings":["School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028068044","display_name":"Lei Ma","orcid":"https://orcid.org/0000-0002-1917-1470"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Ma","raw_affiliation_strings":["School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101610255","display_name":"Yiming He","orcid":"https://orcid.org/0000-0001-8720-8952"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiming He","raw_affiliation_strings":["School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111634634","display_name":"Ronghui Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ronghui Wang","raw_affiliation_strings":["School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5067949425"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":1.0199,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.82515884,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"55","issue":"4","first_page":"334","last_page":"345"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","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"}},"topics":[{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/computer-science","display_name":"Computer science","score":0.8357020616531372},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.8317593336105347},{"id":"https://openalex.org/keywords/odometry","display_name":"Odometry","score":0.7720139026641846},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.630440354347229},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6291455626487732},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.61704421043396},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.568260908126831},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5577288866043091},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5487455129623413},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.4674241244792938},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.4582892656326294},{"id":"https://openalex.org/keywords/levenberg\u2013marquardt-algorithm","display_name":"Levenberg\u2013Marquardt algorithm","score":0.4172712564468384},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.26385921239852905},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.11860522627830505}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8357020616531372},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.8317593336105347},{"id":"https://openalex.org/C49441653","wikidata":"https://www.wikidata.org/wiki/Q2014717","display_name":"Odometry","level":4,"score":0.7720139026641846},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.630440354347229},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6291455626487732},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.61704421043396},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.568260908126831},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5577288866043091},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5487455129623413},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.4674241244792938},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.4582892656326294},{"id":"https://openalex.org/C87578567","wikidata":"https://www.wikidata.org/wiki/Q1426494","display_name":"Levenberg\u2013Marquardt algorithm","level":3,"score":0.4172712564468384},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.26385921239852905},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.11860522627830505},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3103/s0146411621040076","is_oa":false,"landing_page_url":"https://doi.org/10.3103/s0146411621040076","pdf_url":null,"source":{"id":"https://openalex.org/S17203304","display_name":"Automatic Control and Computer Sciences","issn_l":"0146-4116","issn":["0146-4116","1558-108X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320267","host_organization_name":"Pleiades Publishing","host_organization_lineage":["https://openalex.org/P4310320267","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Pleiades Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Automatic Control and Computer Sciences","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1967740178","https://openalex.org/W2064675550","https://openalex.org/W2130422193","https://openalex.org/W2411093439","https://openalex.org/W2539735634","https://openalex.org/W2559203616","https://openalex.org/W2598706937","https://openalex.org/W2609883120","https://openalex.org/W2772525328","https://openalex.org/W2786651381","https://openalex.org/W2794371568","https://openalex.org/W2868116271","https://openalex.org/W2946583690","https://openalex.org/W2952348863","https://openalex.org/W2964314455","https://openalex.org/W3093761653","https://openalex.org/W3106440972","https://openalex.org/W6601676141"],"related_works":["https://openalex.org/W2998370018","https://openalex.org/W3125052734","https://openalex.org/W3123982513","https://openalex.org/W2951795132","https://openalex.org/W4312092966","https://openalex.org/W2755286209","https://openalex.org/W3153542184","https://openalex.org/W2103761320","https://openalex.org/W2358167375","https://openalex.org/W2031992971"],"abstract_inverted_index":{"Owing":[0],"to":[1,132],"the":[2,7,11,14,22,30,37,51,55,80,86,99,105,109,127,142,147,151,160],"possibility":[3],"of":[4,13,54,79,98,108,130],"skidding":[5],"with":[6],"ground":[8],"in":[9,47,159],"motion,":[10],"positioning":[12,148],"autonomously-navigated":[15],"automated":[16],"guided":[17],"vehicle":[18],"(AGV)":[19],"based":[20],"on":[21],"wheel":[23],"odometry":[24],"(Odom)":[25],"will":[26],"bring":[27],"errors,":[28],"meanwhile,":[29],"rotation":[31,128],"error":[32,129],"is":[33,150],"remarkably":[34],"larger":[35],"than":[36],"linear":[38],"motion":[39],"error.":[40],"Three":[41],"neural":[42,62,102,123],"network":[43,63],"methods":[44],"were":[45,91],"proposed":[46],"this":[48],"study":[49],"for":[50,104,156],"data":[52,76,106,157],"fusion":[53,77,107,158],"Odom":[56,81,110],"and":[57,69,82,111,146],"IMU,":[58],"i.e.,":[59],"back-propagation":[60],"(BP)":[61],"method,":[64,68],"one-dimensional":[65],"convolutional":[66],"(1D-CNN)":[67],"long":[70],"short-term":[71],"memory":[72],"(LSTM)":[73],"method.":[74],"The":[75,96,116],"results":[78,118],"IMU":[83,112],"obtained":[84],"by":[85],"extended":[87],"Kalman":[88],"filtering":[89],"method":[90],"taken":[92],"as":[93],"a":[94],"reference.":[95],"performance":[97],"aforementioned":[100],"three":[101,122],"networks":[103,124],"was":[113,136],"compared":[114],"respectively.":[115],"experimental":[117],"indicate":[119],"that":[120,139],"all":[121],"can":[125],"reduce":[126],"AGV":[131],"some":[133],"extent.":[134],"It":[135],"also":[137],"found":[138],"1D-CNN":[140,155],"possesses":[141],"fastest":[143],"training":[144],"speed,":[145],"accuracy":[149],"highest":[152],"when":[153],"employing":[154],"application.":[161]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}