{"id":"https://openalex.org/W4407404846","doi":"https://doi.org/10.1109/sii59315.2025.10871025","title":"Gaussian Gridmaps from Gaussian Processes for WiFi-based Robot Self-Localization in Outdoor Environments","display_name":"Gaussian Gridmaps from Gaussian Processes for WiFi-based Robot Self-Localization in Outdoor Environments","publication_year":2025,"publication_date":"2025-01-21","ids":{"openalex":"https://openalex.org/W4407404846","doi":"https://doi.org/10.1109/sii59315.2025.10871025"},"language":"en","primary_location":{"id":"doi:10.1109/sii59315.2025.10871025","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sii59315.2025.10871025","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/SICE International Symposium on System Integration (SII)","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/A5017184377","display_name":"Renato Miyagusuku","orcid":"https://orcid.org/0000-0003-2471-2187"},"institutions":[{"id":"https://openalex.org/I207399273","display_name":"Utsunomiya University","ror":"https://ror.org/05bx1gz93","country_code":"JP","type":"education","lineage":["https://openalex.org/I207399273"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Renato Miyagusuku","raw_affiliation_strings":["Utsunomiya University,Graduate School of Engineering,Utsunomiya, Tochigi,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Utsunomiya University,Graduate School of Engineering,Utsunomiya, Tochigi,Japan","institution_ids":["https://openalex.org/I207399273"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058489404","display_name":"Kenta Tabata","orcid":"https://orcid.org/0000-0002-7994-4957"},"institutions":[{"id":"https://openalex.org/I207399273","display_name":"Utsunomiya University","ror":"https://ror.org/05bx1gz93","country_code":"JP","type":"education","lineage":["https://openalex.org/I207399273"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kenta Tabata","raw_affiliation_strings":["Utsunomiya University,Graduate School of Engineering,Utsunomiya, Tochigi,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Utsunomiya University,Graduate School of Engineering,Utsunomiya, Tochigi,Japan","institution_ids":["https://openalex.org/I207399273"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091284023","display_name":"Koichi OZAKI","orcid":"https://orcid.org/0000-0003-0602-5551"},"institutions":[{"id":"https://openalex.org/I207399273","display_name":"Utsunomiya University","ror":"https://ror.org/05bx1gz93","country_code":"JP","type":"education","lineage":["https://openalex.org/I207399273"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Koichi Ozaki","raw_affiliation_strings":["Utsunomiya University,Graduate School of Engineering,Utsunomiya, Tochigi,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Utsunomiya University,Graduate School of Engineering,Utsunomiya, Tochigi,Japan","institution_ids":["https://openalex.org/I207399273"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I207399273"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01517501,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1593","last_page":"1598"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9848999977111816,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9848999977111816,"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/T11325","display_name":"Inertial Sensor and Navigation","score":0.9689000248908997,"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/T13382","display_name":"Robotics and Automated Systems","score":0.9689000248908997,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/gaussian","display_name":"Gaussian","score":0.6705469489097595},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6336241364479065},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.632542610168457},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5886249542236328},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.42139512300491333},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3872286081314087},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3350754380226135},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.16038993000984192}],"concepts":[{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.6705469489097595},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6336241364479065},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.632542610168457},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5886249542236328},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.42139512300491333},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3872286081314087},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3350754380226135},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.16038993000984192},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sii59315.2025.10871025","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sii59315.2025.10871025","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/SICE International Symposium on System Integration (SII)","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":0.47999998927116394}],"awards":[{"id":"https://openalex.org/G2846683329","display_name":"Domain adaptation and long-term maintenance of invisible maps to enable low-cost autonomous navigation of robots in urban environments","funder_award_id":"21K14121","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1790231888","https://openalex.org/W1977727009","https://openalex.org/W2037490150","https://openalex.org/W2064972261","https://openalex.org/W2066350599","https://openalex.org/W2336416123","https://openalex.org/W2490662969","https://openalex.org/W2791626036","https://openalex.org/W2981223452","https://openalex.org/W3012508992","https://openalex.org/W3036584804","https://openalex.org/W3108914020","https://openalex.org/W3120103794","https://openalex.org/W3166450977","https://openalex.org/W4384819682","https://openalex.org/W4391678018","https://openalex.org/W6717592239","https://openalex.org/W6751834570"],"related_works":["https://openalex.org/W8302103","https://openalex.org/W3171631314","https://openalex.org/W2674584172","https://openalex.org/W2967743314","https://openalex.org/W2606825221","https://openalex.org/W2122871747","https://openalex.org/W3114279067","https://openalex.org/W1964286703","https://openalex.org/W2169866437","https://openalex.org/W3056417032"],"abstract_inverted_index":{"Gaussian":[0,60,72],"Processes":[1,73],"have":[2],"been":[3],"effectively":[4],"used":[5],"to":[6,34,82],"learn":[7],"location-to-signal-strength":[8],"mappings":[9],"from":[10,71],"previously":[11],"acquired":[12],"observations":[13],"and":[14,26,68,92,107,113],"enable":[15],"WiFi-based":[16],"robot":[17],"self-localization.":[18],"However,":[19],"the":[20,27,35,57,86,99,109],"cubic":[21],"computational":[22,80],"cost":[23,29,54,81],"for":[24,30,48,104],"training":[25,38],"quadratic":[28],"prediction":[31,53,79],"with":[32,44],"respect":[33],"number":[36],"of":[37,59,88,101,111],"points":[39],"limits":[40],"their":[41],"scalability,":[42],"particularly":[43],"large":[45],"datasets":[46],"necessary":[47],"outdoor":[49,105],"environments.":[50],"To":[51],"reduce":[52],"we":[55],"propose":[56],"use":[58],"Gridmaps,":[61],"a":[62],"spatial":[63],"representation":[64],"that":[65],"stores":[66],"mean":[67],"variance":[69],"predictions":[70],"into":[74],"gridmaps.":[75],"This":[76],"approach":[77],"reduces":[78],"constant":[83],"time,":[84],"at":[85],"expense":[87],"some":[89],"localization":[90,106,117],"accuracy":[91],"increased":[93],"memory":[94],"usage.":[95],"Our":[96],"experiments":[97],"demonstrate":[98],"feasibility":[100],"this":[102],"method":[103],"examine":[108],"impact":[110],"quantization":[112],"grid":[114],"resolution":[115],"on":[116],"performance.":[118]},"counts_by_year":[],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}
