{"id":"https://openalex.org/W3048193514","doi":"https://doi.org/10.1109/iolts50870.2020.9159724","title":"Encoded Check Driven Concurrent Error Detection in Particle Filters for Nonlinear State Estimation","display_name":"Encoded Check Driven Concurrent Error Detection in Particle Filters for Nonlinear State Estimation","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3048193514","doi":"https://doi.org/10.1109/iolts50870.2020.9159724","mag":"3048193514"},"language":"en","primary_location":{"id":"doi:10.1109/iolts50870.2020.9159724","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iolts50870.2020.9159724","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 26th International Symposium on On-Line Testing and Robust System Design (IOLTS)","raw_type":"proceedings-article"},"type":"article","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/A5028115522","display_name":"Chandramouli Amarnath","orcid":"https://orcid.org/0000-0001-9938-2157"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chandramouli N Amarnath","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5096736078","display_name":"Md Imran Momtaz","orcid":"https://orcid.org/0000-0002-6720-2681"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Md Imran Momtaz","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069579193","display_name":"Abhijit Chatterjee","orcid":"https://orcid.org/0000-0003-1553-4470"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Abhijit Chatterjee","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2979,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.55689912,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"50","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10876","display_name":"Fault Detection and Control Systems","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9988999962806702,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.7729101777076721},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.7057656049728394},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6384058594703674},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5709897875785828},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5607250928878784},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.44837862253189087},{"id":"https://openalex.org/keywords/state-vector","display_name":"State vector","score":0.43020111322402954},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4135645925998688},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4000386893749237},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.36698734760284424},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.330058217048645},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.18418225646018982},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11222830414772034}],"concepts":[{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.7729101777076721},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.7057656049728394},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6384058594703674},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5709897875785828},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5607250928878784},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.44837862253189087},{"id":"https://openalex.org/C2777798563","wikidata":"https://www.wikidata.org/wiki/Q7603916","display_name":"State vector","level":2,"score":0.43020111322402954},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4135645925998688},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4000386893749237},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.36698734760284424},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.330058217048645},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.18418225646018982},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11222830414772034},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"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/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iolts50870.2020.9159724","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iolts50870.2020.9159724","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 26th International Symposium on On-Line Testing and Robust System Design (IOLTS)","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":16,"referenced_works":["https://openalex.org/W1544016679","https://openalex.org/W1544760291","https://openalex.org/W2045638068","https://openalex.org/W2064480843","https://openalex.org/W2083613288","https://openalex.org/W2103521875","https://openalex.org/W2160337655","https://openalex.org/W2336416123","https://openalex.org/W2535550879","https://openalex.org/W2567925817","https://openalex.org/W2609216084","https://openalex.org/W2781511326","https://openalex.org/W2786487440","https://openalex.org/W2801611543","https://openalex.org/W2918320829","https://openalex.org/W4300995080"],"related_works":["https://openalex.org/W4252024964","https://openalex.org/W4253883008","https://openalex.org/W2037570646","https://openalex.org/W3206065900","https://openalex.org/W3043006620","https://openalex.org/W2006887883","https://openalex.org/W1991038635","https://openalex.org/W2765200415","https://openalex.org/W2339306141","https://openalex.org/W2131787079"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"propose":[4,62],"a":[5,39,47,66,73,99],"framework":[6],"for":[7,80],"concurrent":[8],"detection":[9],"of":[10,35,38,49,65,76],"soft":[11,115],"computation":[12,116],"errors":[13,117,128],"in":[14,22,104,129],"particle":[15,26,45,130],"filters":[16],"which":[17],"are":[18,96,111],"finding":[19],"increasing":[20],"use":[21],"robotics":[23],"applications.":[24],"The":[25,83],"filter":[27,131],"works":[28],"by":[29],"sampling":[30],"the":[31,36,55,63,70,77,105],"multi-variate":[32],"probability":[33],"distribution":[34],"states":[37,79],"system":[40,71,78],"(samples":[41],"called":[42],"particles,":[43],"each":[44,92],"representing":[46],"vector":[48],"states)":[50],"and":[51,139],"projecting":[52],"these":[53],"into":[54],"future":[56],"using":[57],"appropriate":[58],"nonlinear":[59],"mappings.":[60],"We":[61],"addition":[64],"`check'":[67],"state":[68,85],"to":[69,91,113],"as":[72,118,120],"linear":[74],"combination":[75],"error":[81,88,106],"detection.":[82],"check":[84],"produces":[86],"an":[87],"signal":[89],"corresponding":[90],"particle,":[93],"whose":[94],"statistics":[95,107],"tracked":[97],"across":[98,108],"sliding":[100],"time":[101],"window.":[102],"Shifts":[103],"all":[109],"particles":[110],"used":[112],"detect":[114],"well":[119],"anomalous":[121],"sensor":[122],"measurements.":[123],"Simulation":[124],"studies":[125],"indicate":[126],"that":[127],"computations":[132],"can":[133],"be":[134],"detected":[135],"with":[136],"high":[137],"coverage":[138],"low":[140],"latency.":[141]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
