{"id":"https://openalex.org/W2991069940","doi":"https://doi.org/10.1109/ipin.2019.8911803","title":"Improving Augmented Reality Relocalization Using Beacons and Magnetic Field Maps","display_name":"Improving Augmented Reality Relocalization Using Beacons and Magnetic Field Maps","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2991069940","doi":"https://doi.org/10.1109/ipin.2019.8911803","mag":"2991069940"},"language":"en","primary_location":{"id":"doi:10.1109/ipin.2019.8911803","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipin.2019.8911803","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Indoor Positioning and Indoor Navigation (IPIN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5052608178","display_name":"Niranjini Rajagopal","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Niranjini Rajagopal","raw_affiliation_strings":["Electrical and Computer Engineering Department, Carnegie Mellon University, Pittsburgh, U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, Carnegie Mellon University, Pittsburgh, U.S.A","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015369282","display_name":"John Miller","orcid":"https://orcid.org/0000-0001-5651-5650"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John Miller","raw_affiliation_strings":["Electrical and Computer Engineering Department, Carnegie Mellon University, Pittsburgh, U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, Carnegie Mellon University, Pittsburgh, U.S.A","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022019729","display_name":"Krishna Kumar Reghu Kumar","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Krishna Kumar Reghu Kumar","raw_affiliation_strings":["Electrical and Computer Engineering Department, Carnegie Mellon University, Pittsburgh, U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, Carnegie Mellon University, Pittsburgh, U.S.A","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112104282","display_name":"Anh Luong","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anh Luong","raw_affiliation_strings":["Electrical and Computer Engineering Department, Carnegie Mellon University, Pittsburgh, U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, Carnegie Mellon University, Pittsburgh, U.S.A","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056379112","display_name":"Anthony Rowe","orcid":"https://orcid.org/0000-0003-2332-9450"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anthony Rowe","raw_affiliation_strings":["Electrical and Computer Engineering Department, Carnegie Mellon University, Pittsburgh, U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, Carnegie Mellon University, Pittsburgh, U.S.A","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9987000226974487,"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":0.9943000078201294,"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/beacon","display_name":"Beacon","score":0.7997357845306396},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7620449066162109},{"id":"https://openalex.org/keywords/augmented-reality","display_name":"Augmented reality","score":0.6927099823951721},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6331055164337158},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.611932635307312},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5945537686347961},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.5941941738128662},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5568773746490479},{"id":"https://openalex.org/keywords/odometry","display_name":"Odometry","score":0.4677128195762634},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.44062134623527527},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.43806880712509155},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.24496665596961975},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.22486943006515503},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.17062267661094666},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.11092561483383179}],"concepts":[{"id":"https://openalex.org/C102168758","wikidata":"https://www.wikidata.org/wiki/Q7321258","display_name":"Beacon","level":2,"score":0.7997357845306396},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7620449066162109},{"id":"https://openalex.org/C153715457","wikidata":"https://www.wikidata.org/wiki/Q254183","display_name":"Augmented reality","level":2,"score":0.6927099823951721},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6331055164337158},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.611932635307312},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5945537686347961},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.5941941738128662},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5568773746490479},{"id":"https://openalex.org/C49441653","wikidata":"https://www.wikidata.org/wiki/Q2014717","display_name":"Odometry","level":4,"score":0.4677128195762634},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.44062134623527527},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.43806880712509155},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.24496665596961975},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.22486943006515503},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.17062267661094666},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.11092561483383179},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ipin.2019.8911803","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipin.2019.8911803","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Indoor Positioning and Indoor Navigation (IPIN)","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":17,"referenced_works":["https://openalex.org/W1947853012","https://openalex.org/W1986802839","https://openalex.org/W1991295181","https://openalex.org/W2023923947","https://openalex.org/W2054602086","https://openalex.org/W2080607723","https://openalex.org/W2093319033","https://openalex.org/W2200124539","https://openalex.org/W2336416123","https://openalex.org/W2525989248","https://openalex.org/W2552748925","https://openalex.org/W2564827847","https://openalex.org/W2602677875","https://openalex.org/W2749379418","https://openalex.org/W2771629423","https://openalex.org/W2798667357","https://openalex.org/W4388475847"],"related_works":["https://openalex.org/W2567632598","https://openalex.org/W2106845956","https://openalex.org/W3158435160","https://openalex.org/W2998370018","https://openalex.org/W3125052734","https://openalex.org/W3123982513","https://openalex.org/W4391249506","https://openalex.org/W2951795132","https://openalex.org/W2755286209","https://openalex.org/W4312092966"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,77],"show":[4,33],"how":[5,34],"beacon-based":[6],"indoor":[7,51],"localization":[8],"and":[9,23,42,93,122,126,154,157,163],"additional":[10],"environmental":[11],"fingerprints":[12],"like":[13],"magnetic":[14,52,86,128,151],"field":[15,53,87,129,152],"data":[16],"can":[17,44,56,90,110,132,180],"be":[18,45,91,182],"used":[19,46,94],"to":[20,47,64,72,82,186],"both":[21],"accelerate":[22],"increase":[24],"the":[25,35,167],"robustness":[26],"of":[27,37,118,140,170,194],"Augmented":[28],"Reality":[29],"(AR)":[30],"relocalization.":[31],"We":[32,101,143],"combination":[36],"Visual":[38],"Inertial":[39],"Odometry":[40],"(VIO)":[41],"beacons":[43,162],"construct":[48],"a":[49,59,67,103,150,187],"dense":[50],"map":[54,153],"that":[55,76,89,109],"act":[57],"as":[58,177],"fine-grained":[60],"calibration":[61],"for":[62,148],"compasses":[63],"quickly":[65],"determine":[66],"mobile":[68,159],"device's":[69],"orientation.":[70,100],"Unique":[71],"our":[73,127],"approach":[74,131],"is":[75],"leverage":[78],"accurate":[79],"VIO":[80],"trajectories":[81],"provide":[83],"full":[84],"vector":[85],"mapping":[88,130],"collected":[92],"with":[95,113,136,184],"devices":[96],"placed":[97],"in":[98,120,124],"any":[99,192],"demonstrate":[102,144],"system":[104,147],"running":[105],"on":[106],"an":[107,145],"iPhone":[108],"acquire":[111],"location":[112],"80th":[114,137],"percentile":[115,138],"3D":[116],"accuracy":[117,139],"27cm":[119],"LOS":[121],"46cm":[123],"NLOS,":[125],"instantly":[133],"estimate":[134],"orientation":[135],"11.7":[141],"degrees.":[142],"end-to-end":[146],"generating":[149],"subsequently":[155],"localizing":[156],"tracking":[158],"users":[160,179],"using":[161],"VIO.":[164],"This":[165],"has":[166],"side":[168],"effect":[169],"enabling":[171],"multi-user":[172],"(even":[173],"cross-platform)":[174],"AR":[175],"applications,":[176],"all":[178],"now":[181],"localized":[183],"respect":[185],"common":[188],"global":[189],"reference":[190],"without":[191],"sharing":[193],"visual":[195],"feature":[196],"maps.":[197]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}