{"id":"https://openalex.org/W3088179335","doi":"https://doi.org/10.1109/mfi49285.2020.9235260","title":"Nonlinear von Mises\u2013Fisher Filtering Based on Isotropic Deterministic Sampling","display_name":"Nonlinear von Mises\u2013Fisher Filtering Based on Isotropic Deterministic Sampling","publication_year":2020,"publication_date":"2020-09-14","ids":{"openalex":"https://openalex.org/W3088179335","doi":"https://doi.org/10.1109/mfi49285.2020.9235260","mag":"3088179335"},"language":"en","primary_location":{"id":"doi:10.1109/mfi49285.2020.9235260","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mfi49285.2020.9235260","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5445/ir/1000123690","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063845462","display_name":"Kailai Li","orcid":"https://orcid.org/0000-0002-2368-3217"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Kailai Li","raw_affiliation_strings":["Intelligent Sensor-Actuator-Systems Laboratory (ISAS), Institute for Anthropomatics and Robotics, Karlsruhe Institute of Technology (KIT), Germany"],"affiliations":[{"raw_affiliation_string":"Intelligent Sensor-Actuator-Systems Laboratory (ISAS), Institute for Anthropomatics and Robotics, Karlsruhe Institute of Technology (KIT), Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000916925","display_name":"Florian Pfaff","orcid":"https://orcid.org/0000-0003-2987-7685"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Florian Pfaff","raw_affiliation_strings":["Intelligent Sensor-Actuator-Systems Laboratory (ISAS), Institute for Anthropomatics and Robotics, Karlsruhe Institute of Technology (KIT), Germany"],"affiliations":[{"raw_affiliation_string":"Intelligent Sensor-Actuator-Systems Laboratory (ISAS), Institute for Anthropomatics and Robotics, Karlsruhe Institute of Technology (KIT), Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055331421","display_name":"Uwe D. Hanebeck","orcid":"https://orcid.org/0000-0001-9870-2331"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Uwe D. Hanebeck","raw_affiliation_strings":["Intelligent Sensor-Actuator-Systems Laboratory (ISAS), Institute for Anthropomatics and Robotics, Karlsruhe Institute of Technology (KIT), Germany"],"affiliations":[{"raw_affiliation_string":"Intelligent Sensor-Actuator-Systems Laboratory (ISAS), Institute for Anthropomatics and Robotics, Karlsruhe Institute of Technology (KIT), Germany","institution_ids":["https://openalex.org/I102335020"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5063845462"],"corresponding_institution_ids":["https://openalex.org/I102335020"],"apc_list":null,"apc_paid":null,"fwci":0.7954,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.78590244,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"108","last_page":"113"},"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":0.9994000196456909,"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":0.9994000196456909,"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/T11698","display_name":"Underwater Acoustics Research","score":0.9707000255584717,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9696000218391418,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hypersphere","display_name":"Hypersphere","score":0.8399604558944702},{"id":"https://openalex.org/keywords/von-mises-yield-criterion","display_name":"von Mises yield criterion","score":0.818429172039032},{"id":"https://openalex.org/keywords/von-mises-distribution","display_name":"von Mises distribution","score":0.6787430047988892},{"id":"https://openalex.org/keywords/isotropy","display_name":"Isotropy","score":0.5414732694625854},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5389915108680725},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5383194088935852},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48035797476768494},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.46165430545806885},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4457830488681793},{"id":"https://openalex.org/keywords/nonlinear-filter","display_name":"Nonlinear filter","score":0.41304194927215576},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.379626989364624},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3516334295272827},{"id":"https://openalex.org/keywords/filter-design","display_name":"Filter design","score":0.17697712779045105},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1337040364742279},{"id":"https://openalex.org/keywords/finite-element-method","display_name":"Finite element method","score":0.1109766960144043},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.10603475570678711},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.10588574409484863},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08602765202522278}],"concepts":[{"id":"https://openalex.org/C2776562905","wikidata":"https://www.wikidata.org/wiki/Q306610","display_name":"Hypersphere","level":2,"score":0.8399604558944702},{"id":"https://openalex.org/C155165730","wikidata":"https://www.wikidata.org/wiki/Q1319519","display_name":"von Mises yield criterion","level":3,"score":0.818429172039032},{"id":"https://openalex.org/C198138136","wikidata":"https://www.wikidata.org/wiki/Q7941490","display_name":"von Mises distribution","level":4,"score":0.6787430047988892},{"id":"https://openalex.org/C184050105","wikidata":"https://www.wikidata.org/wiki/Q273163","display_name":"Isotropy","level":2,"score":0.5414732694625854},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5389915108680725},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5383194088935852},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48035797476768494},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.46165430545806885},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4457830488681793},{"id":"https://openalex.org/C137685913","wikidata":"https://www.wikidata.org/wiki/Q4316763","display_name":"Nonlinear filter","level":4,"score":0.41304194927215576},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.379626989364624},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3516334295272827},{"id":"https://openalex.org/C22597639","wikidata":"https://www.wikidata.org/wiki/Q5449227","display_name":"Filter design","level":3,"score":0.17697712779045105},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1337040364742279},{"id":"https://openalex.org/C135628077","wikidata":"https://www.wikidata.org/wiki/Q220184","display_name":"Finite element method","level":2,"score":0.1109766960144043},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.10603475570678711},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.10588574409484863},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08602765202522278},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/mfi49285.2020.9235260","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mfi49285.2020.9235260","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)","raw_type":"proceedings-article"},{"id":"pmh:oai:EVASTAR-Karlsruhe.de:1000123690","is_oa":false,"landing_page_url":"https://publikationen.bibliothek.kit.edu/1000123690","pdf_url":null,"source":{"id":"https://openalex.org/S4306401992","display_name":"Repository KITopen (Karlsruhe Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I102335020","host_organization_name":"Karlsruhe Institute of Technology","host_organization_lineage":["https://openalex.org/I102335020"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"doc-type:conferenceObject"},{"id":"doi:10.5445/ir/1000123690","is_oa":true,"landing_page_url":"https://doi.org/10.5445/ir/1000123690","pdf_url":null,"source":{"id":"https://openalex.org/S7407052948","display_name":"KITopen","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.5445/ir/1000123690","is_oa":true,"landing_page_url":"https://doi.org/10.5445/ir/1000123690","pdf_url":null,"source":{"id":"https://openalex.org/S7407052948","display_name":"KITopen","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W105108737","https://openalex.org/W185797722","https://openalex.org/W318315622","https://openalex.org/W1553123714","https://openalex.org/W1920539520","https://openalex.org/W1967342915","https://openalex.org/W2013564289","https://openalex.org/W2030162913","https://openalex.org/W2035868186","https://openalex.org/W2080094394","https://openalex.org/W2084008613","https://openalex.org/W2121075403","https://openalex.org/W2123487311","https://openalex.org/W2124665963","https://openalex.org/W2136661846","https://openalex.org/W2145001205","https://openalex.org/W2156787958","https://openalex.org/W2167623372","https://openalex.org/W2204771532","https://openalex.org/W2295776707","https://openalex.org/W2511202466","https://openalex.org/W2515834120","https://openalex.org/W2539774955","https://openalex.org/W2783659888","https://openalex.org/W2903253789","https://openalex.org/W2968140204","https://openalex.org/W3012323445","https://openalex.org/W3034766915","https://openalex.org/W3035764938","https://openalex.org/W3042072752","https://openalex.org/W3043202230","https://openalex.org/W3043349216","https://openalex.org/W3047013156","https://openalex.org/W3100043883","https://openalex.org/W3102917240","https://openalex.org/W4254955164","https://openalex.org/W4301521499","https://openalex.org/W6607535878","https://openalex.org/W6611029224","https://openalex.org/W6684641359","https://openalex.org/W6725853698","https://openalex.org/W6725958272","https://openalex.org/W6781076813","https://openalex.org/W6781145110","https://openalex.org/W6781512080","https://openalex.org/W7030786389"],"related_works":["https://openalex.org/W2002927610","https://openalex.org/W4225614395","https://openalex.org/W2077018937","https://openalex.org/W2024118836","https://openalex.org/W2478150378","https://openalex.org/W2091429326","https://openalex.org/W2089045458","https://openalex.org/W1976406863","https://openalex.org/W2057315679","https://openalex.org/W3088179335"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,45],"novel":[3],"deterministic":[4],"sampling":[5],"approach":[6],"for":[7,51],"von":[8,46,60],"Mises\u2013Fisher":[9,47],"distributions":[10],"of":[11,17,22,37,54],"arbitrary":[12],"dimensions.":[13],"Following":[14],"the":[15,18,29,33,38,64],"idea":[16],"unscented":[19],"transform,":[20],"samples":[21],"configurable":[23],"size":[24],"are":[25],"drawn":[26],"isotropically":[27],"on":[28,42],"hypersphere":[30],"while":[31],"preserving":[32],"mean":[34],"resultant":[35],"vector":[36],"underlying":[39],"distribution.":[40],"Based":[41],"these":[43],"samples,":[44],"filter":[48,66],"is":[49],"proposed":[50,65],"nonlinear":[52],"estimation":[53],"hyperspherical":[55,69],"states.":[56],"Compared":[57],"with":[58],"existing":[59],"Mises\u2013Fisher-based":[61],"filtering":[62],"schemes,":[63],"exhibits":[67],"superior":[68],"tracking":[70],"performance.":[71]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}