{"id":"https://openalex.org/W1977749984","doi":"https://doi.org/10.1109/roman.2013.6628487","title":"Bayesian filtering for localization using decoupled visual measurements","display_name":"Bayesian filtering for localization using decoupled visual measurements","publication_year":2013,"publication_date":"2013-08-01","ids":{"openalex":"https://openalex.org/W1977749984","doi":"https://doi.org/10.1109/roman.2013.6628487","mag":"1977749984"},"language":"en","primary_location":{"id":"doi:10.1109/roman.2013.6628487","is_oa":false,"landing_page_url":"https://doi.org/10.1109/roman.2013.6628487","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE RO-MAN","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/A5100754799","display_name":"Jungho Kim","orcid":"https://orcid.org/0000-0002-4587-5412"},"institutions":[{"id":"https://openalex.org/I4210131650","display_name":"Korea Electronics Technology Institute","ror":"https://ror.org/039k6f508","country_code":"KR","type":"facility","lineage":["https://openalex.org/I2801339556","https://openalex.org/I4210089395","https://openalex.org/I4210131650"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jungho Kim","raw_affiliation_strings":["Multimedia IP Research Center, KETI, Seongnam, South Korea","Multimedia IP Res. Center, KETI, Seongnam, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Multimedia IP Research Center, KETI, Seongnam, South Korea","institution_ids":["https://openalex.org/I4210131650"]},{"raw_affiliation_string":"Multimedia IP Res. Center, KETI, Seongnam, South Korea","institution_ids":["https://openalex.org/I4210131650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060901163","display_name":"Youngbae Hwang","orcid":"https://orcid.org/0000-0002-3400-0493"},"institutions":[{"id":"https://openalex.org/I4210131650","display_name":"Korea Electronics Technology Institute","ror":"https://ror.org/039k6f508","country_code":"KR","type":"facility","lineage":["https://openalex.org/I2801339556","https://openalex.org/I4210089395","https://openalex.org/I4210131650"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Youngbae Hwang","raw_affiliation_strings":["Multimedia IP Research Center, KETI, Seongnam, South Korea","Multimedia IP Res. Center, KETI, Seongnam, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Multimedia IP Research Center, KETI, Seongnam, South Korea","institution_ids":["https://openalex.org/I4210131650"]},{"raw_affiliation_string":"Multimedia IP Res. Center, KETI, Seongnam, South Korea","institution_ids":["https://openalex.org/I4210131650"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012455275","display_name":"In So Kweon","orcid":"https://orcid.org/0000-0001-9626-5983"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"In So Kweon","raw_affiliation_strings":["Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea","Dept. of Electr. Eng., KAIST\\\\, Daejeon, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]},{"raw_affiliation_string":"Dept. of Electr. Eng., KAIST\\\\, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06512346,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"342","last_page":"343"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":1.0,"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":1.0,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9995999932289124,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9977999925613403,"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/particle-filter","display_name":"Particle filter","score":0.7054755687713623},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6631491184234619},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6594483852386475},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6528444290161133},{"id":"https://openalex.org/keywords/independence","display_name":"Independence (probability theory)","score":0.6150034070014954},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6019214987754822},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5608693361282349},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5220592021942139},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5164406299591064},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.4798016846179962},{"id":"https://openalex.org/keywords/marginal-likelihood","display_name":"Marginal likelihood","score":0.42729613184928894},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3917931318283081},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36261096596717834},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2128620445728302},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09744253754615784}],"concepts":[{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.7054755687713623},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6631491184234619},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6594483852386475},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6528444290161133},{"id":"https://openalex.org/C35651441","wikidata":"https://www.wikidata.org/wiki/Q625303","display_name":"Independence (probability theory)","level":2,"score":0.6150034070014954},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6019214987754822},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5608693361282349},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5220592021942139},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5164406299591064},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.4798016846179962},{"id":"https://openalex.org/C95923904","wikidata":"https://www.wikidata.org/wiki/Q6760420","display_name":"Marginal likelihood","level":3,"score":0.42729613184928894},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3917931318283081},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36261096596717834},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2128620445728302},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09744253754615784},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/roman.2013.6628487","is_oa":false,"landing_page_url":"https://doi.org/10.1109/roman.2013.6628487","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE RO-MAN","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":11,"referenced_works":["https://openalex.org/W2085078372","https://openalex.org/W2090250382","https://openalex.org/W2109635530","https://openalex.org/W2112928827","https://openalex.org/W2148820580","https://openalex.org/W2152671441","https://openalex.org/W2237674493","https://openalex.org/W6673514902","https://openalex.org/W6676958849","https://openalex.org/W6682324061","https://openalex.org/W6690003072"],"related_works":["https://openalex.org/W3125750421","https://openalex.org/W2015530857","https://openalex.org/W2356093187","https://openalex.org/W2556064263","https://openalex.org/W1991846142","https://openalex.org/W1583020711","https://openalex.org/W68147753","https://openalex.org/W2949765904","https://openalex.org/W2016825044","https://openalex.org/W2083568742"],"abstract_inverted_index":{"In":[0,45],"this":[1],"paper,":[2],"we":[3,47],"present":[4],"a":[5],"particle-filter-based":[6],"localization":[7,53],"framework":[8],"with":[9],"decoupled":[10],"visual":[11],"measurements":[12],"(image":[13],"features)":[14],"for":[15],"process":[16,34],"and":[17,36,51],"measurement":[18,38],"models.":[19],"Thus":[20],"our":[21],"approach":[22],"enables":[23],"using":[24],"camera-based":[25],"motion":[26],"estimation":[27],"while":[28],"achieving":[29],"the":[30,33,37,41,55,58],"independence":[31],"between":[32],"noise":[35,39],"in":[40,61],"Bayesian":[42],"filtering":[43],"framework.":[44],"addition,":[46],"alternately":[48],"perform":[49],"sequential":[50],"global":[52],"on":[54],"basis":[56],"of":[57],"marginal":[59],"likelihood":[60],"order":[62],"to":[63],"avoid":[64],"severe":[65],"errors":[66],"caused":[67],"by":[68],"incorrect":[69],"data":[70],"association.":[71]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
