{"id":"https://openalex.org/W2969208637","doi":"https://doi.org/10.1109/icra.2019.8793997","title":"Adaptive Bingham Distribution Based Filter for SE (3) Estimation","display_name":"Adaptive Bingham Distribution Based Filter for SE (3) Estimation","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W2969208637","doi":"https://doi.org/10.1109/icra.2019.8793997","mag":"2969208637"},"language":"en","primary_location":{"id":"doi:10.1109/icra.2019.8793997","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2019.8793997","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Robotics and Automation (ICRA)","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/A5100731088","display_name":"Feiran Li","orcid":"https://orcid.org/0000-0001-9155-5260"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feiran Li","raw_affiliation_strings":["School of Computer Science and Technology, Shandong University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037692282","display_name":"Gustavo Alfonso Garcia Ricardez","orcid":"https://orcid.org/0000-0001-6518-577X"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gustavo Alfonso Garcia Ricardez","raw_affiliation_strings":["School of Computer Science and Technology, Shandong University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047085140","display_name":"Jun Takamatsu","orcid":"https://orcid.org/0000-0001-7457-2878"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Takamatsu","raw_affiliation_strings":["School of Computer Science and Technology, Shandong University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044340470","display_name":"Tsukasa Ogasawara","orcid":"https://orcid.org/0000-0001-9767-6039"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tsukasa Ogasawara","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"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":0.06293793,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1611","issue":null,"first_page":"6734","last_page":"6740"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998000264167786,"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":0.9998000264167786,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9988999962806702,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6850175857543945},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.674963116645813},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.6495221853256226},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.4893645644187927},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4473426342010498},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.4364376664161682},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.430513471364975},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32033276557922363},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2374248206615448},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20102214813232422},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13466787338256836}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6850175857543945},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.674963116645813},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.6495221853256226},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.4893645644187927},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4473426342010498},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.4364376664161682},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.430513471364975},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32033276557922363},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2374248206615448},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20102214813232422},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13466787338256836},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icra.2019.8793997","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2019.8793997","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1506984070","https://openalex.org/W1592463758","https://openalex.org/W1645374371","https://openalex.org/W1965805571","https://openalex.org/W1991544872","https://openalex.org/W1993267444","https://openalex.org/W2021851106","https://openalex.org/W2035868186","https://openalex.org/W2059264085","https://openalex.org/W2063549868","https://openalex.org/W2070216603","https://openalex.org/W2083624955","https://openalex.org/W2110728483","https://openalex.org/W2128019145","https://openalex.org/W2137596640","https://openalex.org/W2143030612","https://openalex.org/W2166429996","https://openalex.org/W2221510318","https://openalex.org/W2289424766","https://openalex.org/W2461058931","https://openalex.org/W2591996318","https://openalex.org/W2727991958","https://openalex.org/W2729396660","https://openalex.org/W2734604177","https://openalex.org/W2760568036","https://openalex.org/W2809899741","https://openalex.org/W2975461012","https://openalex.org/W3102917240","https://openalex.org/W4285719527","https://openalex.org/W6636807858","https://openalex.org/W6745491468"],"related_works":["https://openalex.org/W138768472","https://openalex.org/W2806948274","https://openalex.org/W4401278346","https://openalex.org/W2367714496","https://openalex.org/W2538131842","https://openalex.org/W2351190957","https://openalex.org/W1597034473","https://openalex.org/W2103482891","https://openalex.org/W2018022661","https://openalex.org/W4396596580"],"abstract_inverted_index":{"Filter-based":[0],"methods":[1,108],"are":[2,61],"a":[3],"suitable":[4,50],"option":[5],"to":[6,26,39,105],"deal":[7],"with":[8,83],"the":[9,23,28,31,43,55,64,78,106],"burdensome":[10],"3D":[11],"pose":[12,32],"estimation":[13],"problems":[14],"for":[15,51],"their":[16],"incremental":[17],"properties.":[18],"The":[19,95],"classical":[20],"approaches":[21],"use":[22],"Gaussian":[24],"distribution":[25,80],"model":[27],"uncertainty":[29,53],"of":[30,42,113],"parameters":[33],"and":[34,67],"recent":[35],"work":[36,75],"has":[37],"begun":[38],"take":[40],"advantage":[41],"Bingham":[44,79],"distribution,":[45],"which":[46,87],"is":[47,101],"theoretically":[48],"more":[49],"modeling":[52],"on":[54,70],"SO(3)":[56],"group.":[57],"However,":[58],"these":[59],"algorithms":[60],"still":[62],"at":[63],"very":[65],"beginning":[66],"heavily":[68],"rely":[69],"manual":[71],"tuning.":[72],"In":[73],"this":[74],"we":[76],"equip":[77],"based":[81],"filter":[82],"adaptive":[84],"filtering":[85],"ability,":[86],"realizes":[88],"completely":[89],"autonomous":[90],"tuning":[91],"without":[92],"human":[93],"interaction.":[94],"experiments":[96],"demonstrate":[97],"that":[98],"our":[99],"method":[100],"significantly":[102],"laborsaving":[103],"compared":[104],"state-of-the-art":[107],"as":[109,111],"well":[110],"capable":[112],"maintaining":[114],"high":[115],"accuracy.":[116]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}