{"id":"https://openalex.org/W2316644993","doi":"https://doi.org/10.1109/ccnc.2016.7444947","title":"Portable 3D visual sensor based indoor localization on mobile device","display_name":"Portable 3D visual sensor based indoor localization on mobile device","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2316644993","doi":"https://doi.org/10.1109/ccnc.2016.7444947","mag":"2316644993"},"language":"en","primary_location":{"id":"doi:10.1109/ccnc.2016.7444947","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccnc.2016.7444947","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 13th IEEE Annual Consumer Communications &amp; Networking Conference (CCNC)","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/A5075967279","display_name":"Xiang He","orcid":"https://orcid.org/0000-0001-9288-6360"},"institutions":[{"id":"https://openalex.org/I177721651","display_name":"Oakland University","ror":"https://ror.org/01ythxj32","country_code":"US","type":"education","lineage":["https://openalex.org/I177721651"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiang He","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Oakland University, Rochester, MI, U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Oakland University, Rochester, MI, U.S.A","institution_ids":["https://openalex.org/I177721651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071532529","display_name":"Daniel N. Aloi","orcid":"https://orcid.org/0000-0003-1336-8675"},"institutions":[{"id":"https://openalex.org/I177721651","display_name":"Oakland University","ror":"https://ror.org/01ythxj32","country_code":"US","type":"education","lineage":["https://openalex.org/I177721651"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel Aloi","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Oakland University, Rochester, MI, U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Oakland University, Rochester, MI, U.S.A","institution_ids":["https://openalex.org/I177721651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044004246","display_name":"Jia Li","orcid":"https://orcid.org/0000-0002-2270-9876"},"institutions":[{"id":"https://openalex.org/I177721651","display_name":"Oakland University","ror":"https://ror.org/01ythxj32","country_code":"US","type":"education","lineage":["https://openalex.org/I177721651"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jia Li","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Oakland University, Rochester, MI, U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Oakland University, Rochester, MI, U.S.A","institution_ids":["https://openalex.org/I177721651"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.372,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.64282134,"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":"1125","last_page":"1128"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9994000196456909,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9908999800682068,"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":0.6508272886276245},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4787306487560272},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.41809332370758057},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3952082693576813},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3426821827888489}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6508272886276245},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4787306487560272},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.41809332370758057},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3952082693576813},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3426821827888489},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccnc.2016.7444947","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccnc.2016.7444947","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 13th IEEE Annual Consumer Communications &amp; Networking Conference (CCNC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6499999761581421,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1512050898","https://openalex.org/W1746819321","https://openalex.org/W1985649429","https://openalex.org/W1991544872","https://openalex.org/W2029068223","https://openalex.org/W2049981393","https://openalex.org/W2073660060","https://openalex.org/W2085261163","https://openalex.org/W2091027325","https://openalex.org/W2100045669","https://openalex.org/W2119605622","https://openalex.org/W2133120670","https://openalex.org/W2543803915","https://openalex.org/W4211049957","https://openalex.org/W6630574435","https://openalex.org/W6662860747","https://openalex.org/W6679561850"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Smart":[0],"mobile":[1,64,209],"device":[2,100],"and":[3,13,28,41,70,120,150,175],"consumer":[4],"level":[5],"3D":[6,58,68,103,129,147,152,201],"visual":[7,59,202],"sensor":[8,60,203],"are":[9,81],"becoming":[10],"very":[11],"cheap":[12],"widely":[14],"accessible":[15],"in":[16,31,83,101,180],"people's":[17],"daily":[18],"lives.":[19],"Visual":[20],"information":[21],"based":[22,204],"indoor":[23,79,182,205],"localization":[24,43,206],"is":[25,109,159,197],"getting":[26],"more":[27,29],"attention":[30],"the":[32,78,84,89,99,115,121,128,141,170,176,191,198],"computer":[33],"vision":[34],"research":[35],"community":[36],"to":[37,97,126,139],"achieve":[38],"real":[39],"time":[40],"precise":[42],"result.":[44],"In":[45],"this":[46,196],"paper,":[47],"we":[48,92,132],"present":[49],"a":[50,56,63,71,102],"6-degree-of-freedom":[51],"(6-DoF)":[52],"pose":[53,108,157],"estimation":[54,158],"using":[55],"portable":[57,200],"mounted":[61],"on":[62,172,208],"device.":[65,210],"A":[66],"detailed":[67],"model":[69,76],"WiFi":[72,95],"received":[73],"signal":[74],"strength":[75],"of":[77,187,193],"environment":[80,183],"constructed":[82],"offline":[85],"training":[86],"phase.":[87],"During":[88],"online":[90,116,145],"localization,":[91],"first":[93,199],"use":[94],"signals":[96],"locate":[98],"sub":[104],"model.":[105,130],"The":[106,155],"initial":[107],"calculated":[110],"through":[111],"feature":[112],"matching":[113],"between":[114,144],"captured":[117,146],"2D":[118],"image":[119],"key":[122],"frame":[123],"images":[124],"used":[125],"build":[127],"Then":[131],"employ":[133],"iterative":[134],"closest":[135],"point":[136,148,153],"(ICP)":[137],"algorithm":[138],"estimate":[140],"rigid":[142],"transform":[143],"cloud":[149],"local":[151],"cloud.":[154],"6-DOF":[156],"further":[160],"refined":[161],"by":[162],"random":[163],"sample":[164],"consensus":[165],"(RANSAC)":[166],"algorithm.":[167],"We":[168],"implement":[169],"system":[171,207],"iOS":[173],"platform":[174],"experiments":[177],"carried":[178],"out":[179],"an":[181],"shows":[184],"promising":[185],"result":[186],"our":[188,194],"approach.":[189],"To":[190],"best":[192],"knowledge,":[195]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
