{"id":"https://openalex.org/W2900581136","doi":"https://doi.org/10.1109/ipin.2018.8533824","title":"Robust Localization of Mobile Robot in Reverberant Rooms Using Acoustic Beacons with Iterative Bayesian Filtering","display_name":"Robust Localization of Mobile Robot in Reverberant Rooms Using Acoustic Beacons with Iterative Bayesian Filtering","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2900581136","doi":"https://doi.org/10.1109/ipin.2018.8533824","mag":"2900581136"},"language":"en","primary_location":{"id":"doi:10.1109/ipin.2018.8533824","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipin.2018.8533824","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 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/A5043242561","display_name":"Satoki Ogiso","orcid":"https://orcid.org/0000-0003-1338-3795"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Satoki Ogiso","raw_affiliation_strings":["Ph.D. Program in Empowerment Inforamatics, University of Tsukuba, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ph.D. Program in Empowerment Inforamatics, University of Tsukuba, Japan","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049660453","display_name":"Koichi Mizutani","orcid":"https://orcid.org/0000-0001-5789-5392"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Koichi Mizutani","raw_affiliation_strings":["Faculty of Engineering, Information and Systems, University of Tsukuba, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Information and Systems, University of Tsukuba, Japan","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005138263","display_name":"Naoto Wakatsuki","orcid":"https://orcid.org/0000-0002-3889-8915"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Naoto Wakatsuki","raw_affiliation_strings":["Faculty of Engineering, Information and Systems, University of Tsukuba, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Information and Systems, University of Tsukuba, Japan","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013089276","display_name":"Tadashi Ebihara","orcid":"https://orcid.org/0000-0001-5457-6783"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tadashi Ebihara","raw_affiliation_strings":["Faculty of Engineering, Information and Systems, University of Tsukuba, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Information and Systems, University of Tsukuba, Japan","institution_ids":["https://openalex.org/I146399215"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I146399215"],"apc_list":null,"apc_paid":null,"fwci":1.1689,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.75597822,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"31","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":1.0,"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":1.0,"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/T10860","display_name":"Speech and Audio Processing","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/beacon","display_name":"Beacon","score":0.9016391038894653},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6662512421607971},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.6356291770935059},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5791098475456238},{"id":"https://openalex.org/keywords/reverberation","display_name":"Reverberation","score":0.5662963390350342},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.48814305663108826},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.42633605003356934},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3644779920578003},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3362146317958832},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.1479780375957489},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12205073237419128}],"concepts":[{"id":"https://openalex.org/C102168758","wikidata":"https://www.wikidata.org/wiki/Q7321258","display_name":"Beacon","level":2,"score":0.9016391038894653},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6662512421607971},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.6356291770935059},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5791098475456238},{"id":"https://openalex.org/C95851461","wikidata":"https://www.wikidata.org/wiki/Q468809","display_name":"Reverberation","level":2,"score":0.5662963390350342},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.48814305663108826},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.42633605003356934},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3644779920578003},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3362146317958832},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.1479780375957489},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12205073237419128}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ipin.2018.8533824","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipin.2018.8533824","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Indoor Positioning and Indoor Navigation (IPIN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.7200000286102295,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1664443002","https://openalex.org/W1985101185","https://openalex.org/W2017846045","https://openalex.org/W2045020845","https://openalex.org/W2077181616","https://openalex.org/W2098613108","https://openalex.org/W2100989187","https://openalex.org/W2104264645","https://openalex.org/W2111787305","https://openalex.org/W2130422193","https://openalex.org/W2160584648","https://openalex.org/W2278572312","https://openalex.org/W2281722287","https://openalex.org/W2307851164","https://openalex.org/W2555333982","https://openalex.org/W2556388949","https://openalex.org/W2559200081","https://openalex.org/W2603071509","https://openalex.org/W2720705569","https://openalex.org/W2725946498","https://openalex.org/W2770860920","https://openalex.org/W6695714660","https://openalex.org/W6698302138"],"related_works":["https://openalex.org/W2101178385","https://openalex.org/W2790129070","https://openalex.org/W2106845956","https://openalex.org/W3158435160","https://openalex.org/W2112938119","https://openalex.org/W1643556013","https://openalex.org/W2132294172","https://openalex.org/W2277502495","https://openalex.org/W2122871747","https://openalex.org/W3114279067"],"abstract_inverted_index":{"A":[0],"method":[1,20,111,129],"of":[2,14,22,53,63,102],"estimating":[3],"location":[4,55,71],"by":[5,56,85],"acoustical":[6],"signal":[7],"and":[8,34,72,114],"microphone":[9,43,65],"array":[10,66],"without":[11],"the":[12,23,30,35,39,46,50,54,64,70,76,89,99,103,127,135],"detection":[13],"direction-of-arrival":[15],"is":[16,96,112],"proposed.":[17],"The":[18,60,93,109,123],"proposed":[19,110,128],"consists":[21],"following":[24],"steps.":[25],"First,":[26],"acoustic":[27],"beacons":[28],"in":[29,116],"environment":[31,119],"emit":[32],"signals":[33,40],"localizing":[36,47,90],"target":[37,48],"receives":[38],"with":[41,120],"a":[42,57,82],"array.":[44],"Next,":[45],"calculates":[49],"probability":[51],"distribution":[52],"particle":[58],"filter.":[59],"cross-correlation":[61,77],"functions":[62,78],"elements":[67],"correspond":[68],"to":[69,88],"beacon":[73],"arrangement.":[74],"Herein,":[75],"are":[79],"used":[80],"as":[81,98],"likelihood":[83],"function":[84],"projecting":[86],"them":[87],"state":[91],"space.":[92],"localization":[94,133],"result":[95,124],"calculated":[97],"weighted":[100],"sum":[101],"particles":[104],"based":[105],"on":[106],"their":[107],"likelihoods.":[108],"tested":[113],"evaluated":[115],"an":[117],"indoor":[118],"four":[121],"beacons.":[122],"shows":[125],"that":[126],"can":[130],"achieve":[131],"better":[132],"than":[134],"previous":[136],"method.":[137]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}