{"id":"https://openalex.org/W2020229355","doi":"https://doi.org/10.1109/icar.2013.6766450","title":"Sensor fusing using a convex combination of two Kalman filters - Experimental results","display_name":"Sensor fusing using a convex combination of two Kalman filters - Experimental results","publication_year":2013,"publication_date":"2013-11-01","ids":{"openalex":"https://openalex.org/W2020229355","doi":"https://doi.org/10.1109/icar.2013.6766450","mag":"2020229355"},"language":"en","primary_location":{"id":"doi:10.1109/icar.2013.6766450","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icar.2013.6766450","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 16th International Conference on Advanced Robotics (ICAR)","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/A5038868858","display_name":"Luigi D\u2019Alfonso","orcid":"https://orcid.org/0000-0001-7251-1334"},"institutions":[{"id":"https://openalex.org/I45204951","display_name":"University of Calabria","ror":"https://ror.org/02rc97e94","country_code":"IT","type":"education","lineage":["https://openalex.org/I45204951"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Luigi D'Alfonso","raw_affiliation_strings":["Universita degli Studi della Calabria, Arcavacata di Rende, Calabria, IT"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universita degli Studi della Calabria, Arcavacata di Rende, Calabria, IT","institution_ids":["https://openalex.org/I45204951"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008861696","display_name":"Antonio Grano","orcid":null},"institutions":[{"id":"https://openalex.org/I45204951","display_name":"University of Calabria","ror":"https://ror.org/02rc97e94","country_code":"IT","type":"education","lineage":["https://openalex.org/I45204951"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Antonio Grano","raw_affiliation_strings":["DIMES, Universit\u00e0 della Calabria, Rende, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DIMES, Universit\u00e0 della Calabria, Rende, Italy","institution_ids":["https://openalex.org/I45204951"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039562094","display_name":"P. Muraca","orcid":null},"institutions":[{"id":"https://openalex.org/I45204951","display_name":"University of Calabria","ror":"https://ror.org/02rc97e94","country_code":"IT","type":"education","lineage":["https://openalex.org/I45204951"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Pietro Muraca","raw_affiliation_strings":["DIMES, Universit\u00e0 della Calabria, Rende, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DIMES, Universit\u00e0 della Calabria, Rende, Italy","institution_ids":["https://openalex.org/I45204951"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055217910","display_name":"Paolo Pugliese","orcid":"https://orcid.org/0000-0003-0313-623X"},"institutions":[{"id":"https://openalex.org/I45204951","display_name":"University of Calabria","ror":"https://ror.org/02rc97e94","country_code":"IT","type":"education","lineage":["https://openalex.org/I45204951"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Paolo Pugliese","raw_affiliation_strings":["DIMES, Universit\u00e0 della Calabria, Rende, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DIMES, Universit\u00e0 della Calabria, Rende, Italy","institution_ids":["https://openalex.org/I45204951"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I45204951"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.10767956,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9973000288009644,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.8305531740188599},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.7215207815170288},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5985496044158936},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5878585577011108},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.5811412930488586},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.5549260377883911},{"id":"https://openalex.org/keywords/fast-kalman-filter","display_name":"Fast Kalman filter","score":0.5284666419029236},{"id":"https://openalex.org/keywords/invariant-extended-kalman-filter","display_name":"Invariant extended Kalman filter","score":0.5182504653930664},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.5095734596252441},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4822862446308136},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4663020670413971},{"id":"https://openalex.org/keywords/simultaneous-localization-and-mapping","display_name":"Simultaneous localization and mapping","score":0.4632474184036255},{"id":"https://openalex.org/keywords/alpha-beta-filter","display_name":"Alpha beta filter","score":0.46048909425735474},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4602270722389221},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.38794755935668945},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23861756920814514},{"id":"https://openalex.org/keywords/moving-horizon-estimation","display_name":"Moving horizon estimation","score":0.10331419110298157}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.8305531740188599},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.7215207815170288},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5985496044158936},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5878585577011108},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.5811412930488586},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5549260377883911},{"id":"https://openalex.org/C150679823","wikidata":"https://www.wikidata.org/wiki/Q5436946","display_name":"Fast Kalman filter","level":4,"score":0.5284666419029236},{"id":"https://openalex.org/C8639503","wikidata":"https://www.wikidata.org/wiki/Q6059511","display_name":"Invariant extended Kalman filter","level":4,"score":0.5182504653930664},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.5095734596252441},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4822862446308136},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4663020670413971},{"id":"https://openalex.org/C86369673","wikidata":"https://www.wikidata.org/wiki/Q1203659","display_name":"Simultaneous localization and mapping","level":4,"score":0.4632474184036255},{"id":"https://openalex.org/C11588082","wikidata":"https://www.wikidata.org/wiki/Q4735154","display_name":"Alpha beta filter","level":5,"score":0.46048909425735474},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4602270722389221},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.38794755935668945},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23861756920814514},{"id":"https://openalex.org/C50050547","wikidata":"https://www.wikidata.org/wiki/Q6927137","display_name":"Moving horizon estimation","level":4,"score":0.10331419110298157},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"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/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icar.2013.6766450","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icar.2013.6766450","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 16th International Conference on Advanced Robotics (ICAR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5400000214576721}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1987648088","https://openalex.org/W2009664491","https://openalex.org/W2027897072","https://openalex.org/W2046865945","https://openalex.org/W2047448918","https://openalex.org/W2063389494","https://openalex.org/W2079643984","https://openalex.org/W2099019691","https://openalex.org/W2105292093","https://openalex.org/W2110920281","https://openalex.org/W2121990799","https://openalex.org/W2123487311","https://openalex.org/W2126364161","https://openalex.org/W2133044015","https://openalex.org/W2150546284","https://openalex.org/W2151280929","https://openalex.org/W2155118205","https://openalex.org/W2171883856","https://openalex.org/W2403991859","https://openalex.org/W4214503934"],"related_works":["https://openalex.org/W2772311278","https://openalex.org/W4206024512","https://openalex.org/W2966342863","https://openalex.org/W2359845109","https://openalex.org/W1035502194","https://openalex.org/W2136719298","https://openalex.org/W2164981166","https://openalex.org/W763070688","https://openalex.org/W2911693460","https://openalex.org/W3080167830"],"abstract_inverted_index":{"In":[0],"this":[1],"work":[2],"the":[3,19,27,43,62,81,85,104,120,125],"mobile":[4],"robot":[5,28,56,105],"localization":[6],"problem":[7],"in":[8,98],"an":[9],"unknown":[10],"environment":[11],"is":[12,23,50,77],"faced":[13],"and":[14,30,83,123],"a":[15,36,99],"new":[16,33],"version":[17],"of":[18,39,67,87,127],"Extended":[20,115],"Kalman":[21,75,116],"filter":[22,34,49,76],"proposed":[24,92],"to":[25,79,132],"estimate":[26],"position":[29],"orientation.":[31],"This":[32],"uses":[35,65],"convex":[37],"combination":[38],"two":[40],"filters":[41],"estimating":[42],"same":[44],"state":[45],"variables.":[46],"The":[47,72,91,108],"first":[48],"based":[51,118],"on":[52,57,119,121,124],"measurements":[53],"provided":[54],"by":[55],"board":[58,68,122,128],"distance":[59,69],"sensors":[60,70,129],"while":[61],"second":[63],"one":[64],"out":[66,126],"measurements.":[71],"resulting":[73],"\u201cMixed\u201d":[74],"designed":[78],"emphasize":[80],"qualities":[82],"overcome":[84],"defects":[86],"each":[88],"used":[89],"sensor.":[90],"fusing":[93],"technique":[94],"has":[95,110],"been":[96,111],"tested":[97],"real":[100],"experimental":[101],"framework":[102],"using":[103],"Khepera":[106],"III.":[107],"algorithm":[109],"contrasted":[112],"with":[113],"other":[114],"filters,":[117],"measurements,":[130],"yielding":[131],"encouraging":[133],"results.":[134]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
