{"id":"https://openalex.org/W2749334943","doi":"https://doi.org/10.3390/s17091951","title":"A Mobile Outdoor Augmented Reality Method Combining Deep Learning Object Detection and Spatial Relationships for Geovisualization","display_name":"A Mobile Outdoor Augmented Reality Method Combining Deep Learning Object Detection and Spatial Relationships for Geovisualization","publication_year":2017,"publication_date":"2017-08-24","ids":{"openalex":"https://openalex.org/W2749334943","doi":"https://doi.org/10.3390/s17091951","mag":"2749334943","pmid":"https://pubmed.ncbi.nlm.nih.gov/28837096"},"language":"en","primary_location":{"id":"doi:10.3390/s17091951","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s17091951","pdf_url":"https://www.mdpi.com/1424-8220/17/9/1951/pdf?version=1504253935","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/17/9/1951/pdf?version=1504253935","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023215843","display_name":"Jinmeng Rao","orcid":"https://orcid.org/0000-0003-2370-5129"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinmeng Rao","raw_affiliation_strings":["School of Resources and Environmental Science, Wuhan University, 129 Luoyu Road, Wuhan 430079, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Resources and Environmental Science, Wuhan University, 129 Luoyu Road, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003699039","display_name":"Yanjun Qiao","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanjun Qiao","raw_affiliation_strings":["School of Resources and Environmental Science, Wuhan University, 129 Luoyu Road, Wuhan 430079, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Resources and Environmental Science, Wuhan University, 129 Luoyu Road, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042224496","display_name":"Fu Ren","orcid":"https://orcid.org/0000-0001-8739-8602"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210141849","display_name":"National Administration of Surveying, Mapping and Geoinformation of China","ror":"https://ror.org/04z3map19","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210141849"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fu Ren","raw_affiliation_strings":["Key Laboratory of Digital Mapping and Land information Application Engineering, National Administration of Surveying, Mapping and Geoinformation, Wuhan University, 129 Luoyu Road, Wuhan 430079, China","Key Laboratory of GIS, Ministry of Education, Wuhan University, 129 Luoyu Road, Wuhan 430079, China","School of Resources and Environmental Science, Wuhan University, 129 Luoyu Road, Wuhan 430079, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Digital Mapping and Land information Application Engineering, National Administration of Surveying, Mapping and Geoinformation, Wuhan University, 129 Luoyu Road, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210141849"]},{"raw_affiliation_string":"Key Laboratory of GIS, Ministry of Education, Wuhan University, 129 Luoyu Road, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Resources and Environmental Science, Wuhan University, 129 Luoyu Road, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090423452","display_name":"Junxing Wang","orcid":"https://orcid.org/0000-0002-4381-1634"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junxing Wang","raw_affiliation_strings":["School of Resources and Environmental Science, Wuhan University, 129 Luoyu Road, Wuhan 430079, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Resources and Environmental Science, Wuhan University, 129 Luoyu Road, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041093991","display_name":"Qingyun Du","orcid":"https://orcid.org/0000-0003-4615-2029"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210141849","display_name":"National Administration of Surveying, Mapping and Geoinformation of China","ror":"https://ror.org/04z3map19","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210141849"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qingyun Du","raw_affiliation_strings":["Collaborative Innovation Center of Geospatial Technology, Wuhan University, 129 Luoyu Road, Wuhan 430079, China","Key Laboratory of Digital Mapping and Land information Application Engineering, National Administration of Surveying, Mapping and Geoinformation, Wuhan University, 129 Luoyu Road, Wuhan 430079, China","Key Laboratory of GIS, Ministry of Education, Wuhan University, 129 Luoyu Road, Wuhan 430079, China","School of Resources and Environmental Science, Wuhan University, 129 Luoyu Road, Wuhan 430079, China"],"raw_orcid":"https://orcid.org/0000-0003-4615-2029","affiliations":[{"raw_affiliation_string":"Collaborative Innovation Center of Geospatial Technology, Wuhan University, 129 Luoyu Road, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"Key Laboratory of Digital Mapping and Land information Application Engineering, National Administration of Surveying, Mapping and Geoinformation, Wuhan University, 129 Luoyu Road, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210141849"]},{"raw_affiliation_string":"Key Laboratory of GIS, Ministry of Education, Wuhan University, 129 Luoyu Road, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Resources and Environmental Science, Wuhan University, 129 Luoyu Road, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5041093991"],"corresponding_institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210141849"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":2.5601,"has_fulltext":true,"cited_by_count":67,"citation_normalized_percentile":{"value":0.93052716,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"17","issue":"9","first_page":"1951","last_page":"1951"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9983999729156494,"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"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9983999729156494,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9975000023841858,"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/T10888","display_name":"Augmented Reality Applications","score":0.9901999831199646,"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/geovisualization","display_name":"Geovisualization","score":0.8057299852371216},{"id":"https://openalex.org/keywords/augmented-reality","display_name":"Augmented reality","score":0.7160373330116272},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6099383234977722},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5299676060676575},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5032114386558533},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5014970302581787},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.48119407892227173},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.44954153895378113},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42613548040390015},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.3397899866104126},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.32042640447616577},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.27490365505218506},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2203875184059143}],"concepts":[{"id":"https://openalex.org/C12380541","wikidata":"https://www.wikidata.org/wiki/Q58300","display_name":"Geovisualization","level":4,"score":0.8057299852371216},{"id":"https://openalex.org/C153715457","wikidata":"https://www.wikidata.org/wiki/Q254183","display_name":"Augmented reality","level":2,"score":0.7160373330116272},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6099383234977722},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5299676060676575},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5032114386558533},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5014970302581787},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.48119407892227173},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44954153895378113},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42613548040390015},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.3397899866104126},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.32042640447616577},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.27490365505218506},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2203875184059143},{"id":"https://openalex.org/C185578843","wikidata":"https://www.wikidata.org/wiki/Q10609775","display_name":"Information visualization","level":3,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s17091951","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s17091951","pdf_url":"https://www.mdpi.com/1424-8220/17/9/1951/pdf?version=1504253935","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:28837096","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28837096","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":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:ff01087cf57d4ffa94790f3e9f794d27","is_oa":true,"landing_page_url":"https://doaj.org/article/ff01087cf57d4ffa94790f3e9f794d27","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 17, Iss 9, p 1951 (2017)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/17/9/1951/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s17091951","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 17; Issue 9; Pages: 1951","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:5621345","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5621345","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s17091951","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s17091951","pdf_url":"https://www.mdpi.com/1424-8220/17/9/1951/pdf?version=1504253935","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","score":0.4399999976158142,"display_name":"No poverty"}],"awards":[{"id":"https://openalex.org/G839326278","display_name":null,"funder_award_id":"(2016 YFC 0803106","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8456935971","display_name":"\u57fa\u4e8e\u6237\u5916\u589e\u5f3a\u73b0\u5b9e\u7684\u7a7a\u95f4\u4fe1\u606f\u53ef\u89c6\u5316\u4e0e\u591a\u6a21\u5f0f\u4ea4\u4e92\u673a\u5236\u7814\u7a76","funder_award_id":"41371427","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"},{"id":"https://openalex.org/F4320324116","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2749334943.pdf","grobid_xml":"https://content.openalex.org/works/W2749334943.grobid-xml"},"referenced_works_count":76,"referenced_works":["https://openalex.org/W139091150","https://openalex.org/W324625818","https://openalex.org/W639708223","https://openalex.org/W1487583988","https://openalex.org/W1536680647","https://openalex.org/W1686810756","https://openalex.org/W1861492603","https://openalex.org/W1953042028","https://openalex.org/W1958328135","https://openalex.org/W1968494317","https://openalex.org/W2005459613","https://openalex.org/W2013329915","https://openalex.org/W2016545397","https://openalex.org/W2031489346","https://openalex.org/W2045166170","https://openalex.org/W2053229256","https://openalex.org/W2056427752","https://openalex.org/W2057399313","https://openalex.org/W2060964919","https://openalex.org/W2074932169","https://openalex.org/W2076127506","https://openalex.org/W2081204467","https://openalex.org/W2083731529","https://openalex.org/W2085625911","https://openalex.org/W2092399515","https://openalex.org/W2096602292","https://openalex.org/W2098205880","https://openalex.org/W2099871915","https://openalex.org/W2100993058","https://openalex.org/W2102274565","https://openalex.org/W2102605133","https://openalex.org/W2108598243","https://openalex.org/W2109255472","https://openalex.org/W2116993057","https://openalex.org/W2118534034","https://openalex.org/W2119144962","https://openalex.org/W2119210621","https://openalex.org/W2119605622","https://openalex.org/W2122480881","https://openalex.org/W2123537152","https://openalex.org/W2127972053","https://openalex.org/W2128715914","https://openalex.org/W2129305389","https://openalex.org/W2130032257","https://openalex.org/W2141949561","https://openalex.org/W2146352414","https://openalex.org/W2148829858","https://openalex.org/W2149003305","https://openalex.org/W2151103935","https://openalex.org/W2158705726","https://openalex.org/W2164523972","https://openalex.org/W2164598857","https://openalex.org/W2166212176","https://openalex.org/W2166375152","https://openalex.org/W2166713160","https://openalex.org/W2170420498","https://openalex.org/W2171671453","https://openalex.org/W2186615578","https://openalex.org/W2190024943","https://openalex.org/W2193145675","https://openalex.org/W2254757718","https://openalex.org/W2279098554","https://openalex.org/W2468368736","https://openalex.org/W2476585853","https://openalex.org/W2530138525","https://openalex.org/W2546299398","https://openalex.org/W2564858490","https://openalex.org/W2587248218","https://openalex.org/W2593409984","https://openalex.org/W2618530766","https://openalex.org/W2919115771","https://openalex.org/W2963037989","https://openalex.org/W3106250896","https://openalex.org/W6605696811","https://openalex.org/W6683411478","https://openalex.org/W6714772955"],"related_works":["https://openalex.org/W2172197285","https://openalex.org/W2991048842","https://openalex.org/W2949096641","https://openalex.org/W2970686063","https://openalex.org/W4320729701","https://openalex.org/W4254103348","https://openalex.org/W3210378990","https://openalex.org/W3034745255","https://openalex.org/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"The":[0,91,126],"purpose":[1],"of":[2,43,53,96],"this":[3,44],"study":[4],"was":[5,109],"to":[6,99,102,118],"develop":[7],"a":[8,28,133],"robust,":[9],"fast":[10],"and":[11,20,65,81,111,122,140],"markerless":[12],"mobile":[13,35],"augmented":[14],"reality":[15],"method":[16,84,93,121,131],"for":[17,34],"registration,":[18],"geovisualization":[19,138],"interaction":[21,83],"in":[22,77],"uncontrolled":[23],"outdoor":[24],"environments.":[25],"We":[26],"propose":[27],"lightweight":[29],"deep-learning-based":[30],"object":[31],"detection":[32,41,135],"approach":[33,45],"or":[36],"embedded":[37],"devices;":[38],"the":[39,54,78,97,114,120],"vision-based":[40],"results":[42,139],"are":[46,74],"combined":[47],"with":[48],"spatial":[49],"relationships":[50],"by":[51],"means":[52],"host":[55],"device's":[56],"built-in":[57],"Global":[58],"Positioning":[59],"System":[60],"receiver,":[61],"Inertial":[62],"Measurement":[63],"Unit":[64],"magnetometer.":[66],"Virtual":[67],"objects":[68],"generated":[69],"based":[70,85],"on":[71,86,113],"geospatial":[72],"information":[73],"precisely":[75],"registered":[76],"real":[79],"world,":[80],"an":[82],"touch":[87],"gestures":[88],"is":[89,94],"implemented.":[90],"entire":[92],"independent":[95],"network":[98],"ensure":[100],"robustness":[101],"poor":[103],"signal":[104],"conditions.":[105],"A":[106],"prototype":[107],"system":[108],"developed":[110],"tested":[112],"Wuhan":[115],"University":[116],"campus":[117],"evaluate":[119],"validate":[123],"its":[124],"results.":[125],"findings":[127],"demonstrate":[128],"that":[129],"our":[130],"achieves":[132],"high":[134],"accuracy,":[136],"stable":[137],"interaction.":[141]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":6}],"updated_date":"2026-08-06T08:24:18.245995","created_date":"2025-10-10T00:00:00"}
