{"id":"https://openalex.org/W2970880983","doi":"https://doi.org/10.1109/tnnls.2019.2927719","title":"Precise Measurement of Position and Attitude Based on Convolutional Neural Network and Visual Correspondence Relationship","display_name":"Precise Measurement of Position and Attitude Based on Convolutional Neural Network and Visual Correspondence Relationship","publication_year":2019,"publication_date":"2019-08-26","ids":{"openalex":"https://openalex.org/W2970880983","doi":"https://doi.org/10.1109/tnnls.2019.2927719","mag":"2970880983","pmid":"https://pubmed.ncbi.nlm.nih.gov/31449032"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2019.2927719","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2019.2927719","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/Precise_measurement_of_position_and_attitude_based_on_convolutional_neural_network_and_visual_correspondence_relationship/9913106","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066144350","display_name":"Jiachen Yang","orcid":"https://orcid.org/0000-0003-2558-552X"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiachen Yang","raw_affiliation_strings":["School of Electronic Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-2558-552X","affiliations":[{"raw_affiliation_string":"School of Electronic Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045786263","display_name":"Jiabao Man","orcid":"https://orcid.org/0000-0003-0218-3675"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiabao Man","raw_affiliation_strings":["School of Electronic Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-0218-3675","affiliations":[{"raw_affiliation_string":"School of Electronic Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031593368","display_name":"Meng Xi","orcid":"https://orcid.org/0000-0001-8207-3921"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Xi","raw_affiliation_strings":["School of Electronic Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0001-8207-3921","affiliations":[{"raw_affiliation_string":"School of Electronic Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xinbo Gao","orcid":"https://orcid.org/0000-0003-1443-0776"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinbo Gao","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, School of Electronic Engineering, Xidian University, Xi\u2019an, China","State Key Laboratory of Integrated Services Networks, School of Electronic Engineering, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0003-1443-0776","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, School of Electronic Engineering, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, School of Electronic Engineering, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059540876","display_name":"Wen Lu","orcid":"https://orcid.org/0000-0002-8193-6016"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Lu","raw_affiliation_strings":["School of Electronic Engineering, Xidian University, Xi\u2019an, China","School of Electronic Engineering, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-8193-6016","affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014654309","display_name":"Qinggang Meng","orcid":"https://orcid.org/0000-0002-9483-5724"},"institutions":[{"id":"https://openalex.org/I143804889","display_name":"Loughborough University","ror":"https://ror.org/04vg4w365","country_code":"GB","type":"education","lineage":["https://openalex.org/I143804889"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Qinggang Meng","raw_affiliation_strings":["Department of Computer Science, Loughborough University, Loughborough, U.K"],"raw_orcid":"https://orcid.org/0000-0002-9483-5724","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Loughborough University, Loughborough, U.K","institution_ids":["https://openalex.org/I143804889"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2045,"currency":"USD","value_usd":2045},"apc_paid":null,"fwci":5.6988,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.95659037,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"31","issue":"6","first_page":"2030","last_page":"2041"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9983999729156494,"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/T10638","display_name":"Optical measurement and interference techniques","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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7513806819915771},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6852457523345947},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6783537864685059},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.6549929976463318},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.613369345664978},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5684719681739807},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5628005266189575},{"id":"https://openalex.org/keywords/independence","display_name":"Independence (probability theory)","score":0.5499382615089417},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5403578281402588},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5387059450149536},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4863722622394562},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.47054630517959595},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4197733998298645},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12916475534439087},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07973068952560425}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7513806819915771},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6852457523345947},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6783537864685059},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.6549929976463318},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.613369345664978},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5684719681739807},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5628005266189575},{"id":"https://openalex.org/C35651441","wikidata":"https://www.wikidata.org/wiki/Q625303","display_name":"Independence (probability theory)","level":2,"score":0.5499382615089417},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5403578281402588},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5387059450149536},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4863722622394562},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.47054630517959595},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4197733998298645},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12916475534439087},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07973068952560425},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tnnls.2019.2927719","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2019.2927719","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:31449032","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31449032","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":"Journal Article"},{"id":"pmh:oai:figshare.com:article/9913106","is_oa":true,"landing_page_url":"https://figshare.com/articles/Precise_measurement_of_position_and_attitude_based_on_convolutional_neural_network_and_visual_correspondence_relationship/9913106","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/9913106","is_oa":true,"landing_page_url":"https://figshare.com/articles/Precise_measurement_of_position_and_attitude_based_on_convolutional_neural_network_and_visual_correspondence_relationship/9913106","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8191841786","display_name":"\u57fa\u4e8e\u4e09\u7406\u6c47\u901a\u7684\u865a\u62df\u73b0\u5b9e\u4f53\u9a8c\u8d28\u91cf\u8bc4\u4ef7\u7814\u7a76","funder_award_id":"61871283","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W1533162639","https://openalex.org/W1549383291","https://openalex.org/W1581087960","https://openalex.org/W1625331322","https://openalex.org/W1686810756","https://openalex.org/W1849277567","https://openalex.org/W1971566394","https://openalex.org/W1996989084","https://openalex.org/W2025939589","https://openalex.org/W2041196140","https://openalex.org/W2042947939","https://openalex.org/W2050019294","https://openalex.org/W2062691475","https://openalex.org/W2067140729","https://openalex.org/W2079233843","https://openalex.org/W2088065567","https://openalex.org/W2092590055","https://openalex.org/W2094278255","https://openalex.org/W2097117768","https://openalex.org/W2099471712","https://openalex.org/W2116793329","https://openalex.org/W2125186487","https://openalex.org/W2126552455","https://openalex.org/W2138131694","https://openalex.org/W2151242910","https://openalex.org/W2156387975","https://openalex.org/W2163605009","https://openalex.org/W2167544683","https://openalex.org/W2169961907","https://openalex.org/W2170560666","https://openalex.org/W2194775991","https://openalex.org/W2425422888","https://openalex.org/W2468368736","https://openalex.org/W2615981376","https://openalex.org/W2762381996","https://openalex.org/W2773574831","https://openalex.org/W2773771410","https://openalex.org/W2783165089","https://openalex.org/W2783231089","https://openalex.org/W2801497431","https://openalex.org/W2805143365","https://openalex.org/W2963188159","https://openalex.org/W2963446712","https://openalex.org/W2963881378","https://openalex.org/W4320013936","https://openalex.org/W6632822334","https://openalex.org/W6637373629","https://openalex.org/W6639204139","https://openalex.org/W6662941851","https://openalex.org/W6677588156","https://openalex.org/W6682889407","https://openalex.org/W6684191040","https://openalex.org/W6684964919","https://openalex.org/W6745401828"],"related_works":["https://openalex.org/W3125750421","https://openalex.org/W4375867731","https://openalex.org/W4390516098","https://openalex.org/W4391621807","https://openalex.org/W2181948922","https://openalex.org/W2384362569","https://openalex.org/W4226493464","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983"],"abstract_inverted_index":{"Accurate":[0],"measurement":[1,11,16,28,67,89],"of":[2,40,95,102,126],"position":[3,56,80],"and":[4,24,57,74,81,91,107],"attitude":[5,82],"information":[6],"is":[7],"particularly":[8],"important.":[9],"Traditional":[10],"methods":[12],"generally":[13],"require":[14],"high-precision":[15],"equipment":[17],"for":[18],"analysis,":[19],"leading":[20],"to":[21,31,50,53,85,121],"high":[22],"costs":[23],"limited":[25],"applicability.":[26],"Vision-based":[27],"schemes":[29],"need":[30],"solve":[32],"complex":[33],"visual":[34],"relationships.":[35],"With":[36],"the":[37,54,88,93,100,113,123,127],"extensive":[38],"development":[39],"neural":[41,72],"networks":[42],"in":[43,104,130],"related":[44],"fields,":[45],"it":[46],"has":[47],"become":[48],"possible":[49],"apply":[51],"them":[52],"object":[55,65],"attitude.":[58],"In":[59],"this":[60],"paper,":[61],"we":[62,75,98,116],"propose":[63],"an":[64],"pose":[66],"scheme":[68],"based":[69],"on":[70],"convolutional":[71],"network":[73],"have":[76],"successfully":[77],"implemented":[78],"end-to-end":[79],"detection.":[83],"Furthermore,":[84],"effectively":[86],"expand":[87],"range":[90],"reduce":[92],"number":[94],"training":[96,110,128],"samples,":[97],"demonstrated":[99],"independence":[101],"objects":[103],"each":[105],"dimension":[106],"proposed":[108],"subadded":[109],"programs.":[111],"At":[112],"same":[114],"time,":[115],"generated":[117],"generating":[118],"image":[119],"encoder":[120],"guarantee":[122],"detection":[124],"performance":[125],"model":[129],"practical":[131],"applications.":[132]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":6}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}
