{"id":"https://openalex.org/W3038313434","doi":"https://doi.org/10.1109/civemsa48639.2020.9132969","title":"Three Tiered Visual-Inertial Tracking and Mapping for Augmented Reality in Urban Settings","display_name":"Three Tiered Visual-Inertial Tracking and Mapping for Augmented Reality in Urban Settings","publication_year":2020,"publication_date":"2020-06-01","ids":{"openalex":"https://openalex.org/W3038313434","doi":"https://doi.org/10.1109/civemsa48639.2020.9132969","mag":"3038313434"},"language":"en","primary_location":{"id":"doi:10.1109/civemsa48639.2020.9132969","is_oa":false,"landing_page_url":"https://doi.org/10.1109/civemsa48639.2020.9132969","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","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/A5089846570","display_name":"Thomas Calloway","orcid":null},"institutions":[{"id":"https://openalex.org/I133738476","display_name":"University of Massachusetts Lowell","ror":"https://ror.org/03hamhx47","country_code":"US","type":"education","lineage":["https://openalex.org/I133738476"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Thomas Calloway","raw_affiliation_strings":["Department of Electrical and Computer Engineering, UMASS Lowell, Lowell, MA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, UMASS Lowell, Lowell, MA, USA","institution_ids":["https://openalex.org/I133738476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001646142","display_name":"Dalila B. Megherbi","orcid":"https://orcid.org/0000-0002-1282-597X"},"institutions":[{"id":"https://openalex.org/I133738476","display_name":"University of Massachusetts Lowell","ror":"https://ror.org/03hamhx47","country_code":"US","type":"education","lineage":["https://openalex.org/I133738476"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dalila B. Megherbi","raw_affiliation_strings":["Department of Electrical and Computer Engineering, UMASS Lowell, Lowell, MA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, UMASS Lowell, Lowell, MA, USA","institution_ids":["https://openalex.org/I133738476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5089846570"],"corresponding_institution_ids":["https://openalex.org/I133738476"],"apc_list":null,"apc_paid":null,"fwci":1.0353,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.81626122,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9991999864578247,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/augmented-reality","display_name":"Augmented reality","score":0.9272691011428833},{"id":"https://openalex.org/keywords/headset","display_name":"Headset","score":0.8111056685447693},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7482130527496338},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6426460146903992},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5516718626022339},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.5116003155708313},{"id":"https://openalex.org/keywords/heading","display_name":"Heading (navigation)","score":0.48658788204193115},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.45670151710510254},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.45358139276504517},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4511153995990753},{"id":"https://openalex.org/keywords/inertial-frame-of-reference","display_name":"Inertial frame of reference","score":0.44671744108200073},{"id":"https://openalex.org/keywords/simultaneous-localization-and-mapping","display_name":"Simultaneous localization and mapping","score":0.4467049539089203},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3757272958755493},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3233955502510071},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12394723296165466},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.08972105383872986},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.08710014820098877},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07295441627502441}],"concepts":[{"id":"https://openalex.org/C153715457","wikidata":"https://www.wikidata.org/wiki/Q254183","display_name":"Augmented reality","level":2,"score":0.9272691011428833},{"id":"https://openalex.org/C2780657452","wikidata":"https://www.wikidata.org/wiki/Q1193170","display_name":"Headset","level":2,"score":0.8111056685447693},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7482130527496338},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6426460146903992},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5516718626022339},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.5116003155708313},{"id":"https://openalex.org/C2776937971","wikidata":"https://www.wikidata.org/wiki/Q4384217","display_name":"Heading (navigation)","level":2,"score":0.48658788204193115},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.45670151710510254},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.45358139276504517},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4511153995990753},{"id":"https://openalex.org/C173386949","wikidata":"https://www.wikidata.org/wiki/Q192735","display_name":"Inertial frame of reference","level":2,"score":0.44671744108200073},{"id":"https://openalex.org/C86369673","wikidata":"https://www.wikidata.org/wiki/Q1203659","display_name":"Simultaneous localization and mapping","level":4,"score":0.4467049539089203},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3757272958755493},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3233955502510071},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12394723296165466},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.08972105383872986},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.08710014820098877},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07295441627502441},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/civemsa48639.2020.9132969","is_oa":false,"landing_page_url":"https://doi.org/10.1109/civemsa48639.2020.9132969","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.8299999833106995}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1552672384","https://openalex.org/W1680252513","https://openalex.org/W1883248133","https://openalex.org/W1901129140","https://openalex.org/W1988133891","https://openalex.org/W1989750313","https://openalex.org/W2010429811","https://openalex.org/W2017685342","https://openalex.org/W2043578134","https://openalex.org/W2063053370","https://openalex.org/W2097232604","https://openalex.org/W2118223742","https://openalex.org/W2216550548","https://openalex.org/W2344474200","https://openalex.org/W2535547924","https://openalex.org/W2741978681","https://openalex.org/W2783256793","https://openalex.org/W3102327032","https://openalex.org/W4246614213","https://openalex.org/W6639824700","https://openalex.org/W6747905624"],"related_works":["https://openalex.org/W2549567669","https://openalex.org/W2323345712","https://openalex.org/W104838418","https://openalex.org/W1532889363","https://openalex.org/W4292416459","https://openalex.org/W2394331374","https://openalex.org/W4225253169","https://openalex.org/W1982044840","https://openalex.org/W2991246638","https://openalex.org/W2382856674"],"abstract_inverted_index":{"Reliably":[0],"localizing":[1],"and":[2,74,101,104,116],"tracking":[3],"optical":[4,131],"see-through":[5,132],"augmented":[6,27,41],"reality":[7,28,42],"(AR)":[8],"displays":[9],"moving":[10],"relative":[11],"to":[12,70],"content":[13],"in":[14,37,77,134],"the":[15,21,107,125,135],"physical":[16],"world":[17],"is":[18],"one":[19],"of":[20,56,95,109,137],"primary":[22],"technical":[23],"challenges":[24],"facing":[25],"widespread":[26],"adoption":[29],"today.":[30],"While":[31],"significant":[32],"progress":[33],"has":[34],"been":[35],"made":[36],"recent":[38],"years,":[39],"most":[40],"applications":[43],"allowing":[44],"for":[45,98,112],"shared,":[46],"co-registered":[47],"experiences":[48],"require":[49],"either":[50],"specialized":[51],"markers":[52],"or":[53,60],"local":[54,99],"maps":[55],"relatively":[57],"small":[58],"rooms":[59],"spaces.":[61],"In":[62],"this":[63],"work":[64],"we":[65],"propose":[66,106],"a":[67,86,120],"three-tiered":[68],"approach":[69],"visual-inertial":[71],"simultaneous":[72],"localization":[73],"mapping":[75,100],"(SLAM)":[76],"urban":[78],"environments.":[79],"We":[80,123],"estimate":[81],"head":[82],"pose":[83],"locally":[84],"with":[85],"highly":[87],"flexible":[88],"inertial":[89],"navigation":[90],"system,":[91],"make":[92],"novel":[93],"use":[94,108],"edge":[96],"computing":[97,111],"drift":[102],"correction":[103],"then":[105],"cloud":[110],"dense":[113],"3D":[114],"modelling":[115],"map":[117],"sharing":[118],"on":[119],"global":[121],"scale.":[122],"evaluate":[124],"proposed":[126],"using":[127],"an":[128],"open":[129],"source":[130],"headset":[133],"streets":[136],"downtown":[138],"Boston.":[139]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}