{"id":"https://openalex.org/W2902928365","doi":"https://doi.org/10.1145/3284398.3284414","title":"A visual-GPS fusion based outdoor augmented reality method","display_name":"A visual-GPS fusion based outdoor augmented reality method","publication_year":2018,"publication_date":"2018-11-29","ids":{"openalex":"https://openalex.org/W2902928365","doi":"https://doi.org/10.1145/3284398.3284414","mag":"2902928365"},"language":"en","primary_location":{"id":"doi:10.1145/3284398.3284414","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3284398.3284414","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry","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/A5102923467","display_name":"Junjie Wang","orcid":"https://orcid.org/0009-0007-9851-5828"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junjie Wang","raw_affiliation_strings":["Beijing Institute of Technology, Beijing, P.R.C"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, Beijing, P.R.C","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039375595","display_name":"Quanyu Wang","orcid":"https://orcid.org/0000-0003-0120-1237"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quanyu Wang","raw_affiliation_strings":["Beijing Institute of Technology, Beijing, P.R.C"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, Beijing, P.R.C","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053001616","display_name":"Uzair Saeed","orcid":"https://orcid.org/0000-0001-7105-2674"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Uzair Saeed","raw_affiliation_strings":["Beijing Institute of Technology, Beijing, P.R.C"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, Beijing, P.R.C","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.14320349,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10888","display_name":"Augmented Reality Applications","score":0.9993000030517578,"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/T10888","display_name":"Augmented Reality Applications","score":0.9993000030517578,"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":0.9987999796867371,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9934999942779541,"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/global-positioning-system","display_name":"Global Positioning System","score":0.7888843417167664},{"id":"https://openalex.org/keywords/augmented-reality","display_name":"Augmented reality","score":0.7726581692695618},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6743866801261902},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5519614815711975},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5517407059669495},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4585028290748596},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.43186214566230774},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.429127037525177},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06309792399406433}],"concepts":[{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.7888843417167664},{"id":"https://openalex.org/C153715457","wikidata":"https://www.wikidata.org/wiki/Q254183","display_name":"Augmented reality","level":2,"score":0.7726581692695618},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6743866801261902},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5519614815711975},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5517407059669495},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4585028290748596},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.43186214566230774},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.429127037525177},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06309792399406433},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3284398.3284414","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3284398.3284414","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1998354205","https://openalex.org/W2064770878","https://openalex.org/W2116993057","https://openalex.org/W2148829858","https://openalex.org/W2166212176","https://openalex.org/W2216569943","https://openalex.org/W2321619735","https://openalex.org/W2749334943","https://openalex.org/W2763213405","https://openalex.org/W2765399763","https://openalex.org/W4206434639","https://openalex.org/W6950401212"],"related_works":["https://openalex.org/W1972291043","https://openalex.org/W2125175058","https://openalex.org/W2099596012","https://openalex.org/W2404729837","https://openalex.org/W2117712085","https://openalex.org/W2537141224","https://openalex.org/W2889211182","https://openalex.org/W2463720136","https://openalex.org/W1979149155","https://openalex.org/W1982719376"],"abstract_inverted_index":{"Virtual":[0],"objects":[1],"can":[2,106],"be":[3],"overlaid":[4],"with":[5,84],"real":[6],"scenes":[7],"through":[8],"outdoor":[9,20,111],"augmented":[10,21,112],"reality":[11,22],"technology,":[12],"which":[13],"bring":[14],"about":[15],"prominent":[16],"experience.":[17],"The":[18,50,62,100],"existing":[19],"methods":[23],"are":[24],"usually":[25],"limited":[26],"in":[27,47],"accuracy":[28],"and":[29,41,88,97,109],"scalability.":[30],"To":[31],"solve":[32],"this":[33,48],"problem,":[34],"a":[35],"novel":[36],"method":[37,52,81,105],"combining":[38],"computer":[39],"vision":[40],"Global":[42],"Positioning":[43],"System":[44],"is":[45,53,65,82],"proposed":[46],"paper.":[49],"Geohash":[51],"introduced":[54],"to":[55,67,92],"stimulate":[56],"the":[57,69,73,94],"retrieval":[58],"of":[59],"nearby":[60],"locations.":[61],"vocabulary":[63],"tree":[64],"built":[66],"recognize":[68],"current":[70],"scene":[71,95],"from":[72],"reference":[74],"library.":[75],"Faster":[76],"R-CNN":[77],"based":[78],"object":[79],"detection":[80,87],"combined":[83],"AKAZE":[85],"feature":[86],"image":[89],"matching":[90],"algorithm":[91],"realize":[93,107],"recognition":[96],"target":[98],"tracking.":[99],"results":[101],"show":[102],"that":[103],"our":[104],"efficient":[108],"scalable":[110],"reality.":[113]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
