{"id":"https://openalex.org/W2364050206","doi":"https://doi.org/10.3390/s16050692","title":"A Nonlinear Framework of Delayed Particle Smoothing Method for Vehicle Localization under Non-Gaussian Environment","display_name":"A Nonlinear Framework of Delayed Particle Smoothing Method for Vehicle Localization under Non-Gaussian Environment","publication_year":2016,"publication_date":"2016-05-13","ids":{"openalex":"https://openalex.org/W2364050206","doi":"https://doi.org/10.3390/s16050692","mag":"2364050206","pmid":"https://pubmed.ncbi.nlm.nih.gov/27187405"},"language":"en","primary_location":{"id":"doi:10.3390/s16050692","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s16050692","pdf_url":"https://www.mdpi.com/1424-8220/16/5/692/pdf?version=1463123872","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/16/5/692/pdf?version=1463123872","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001435169","display_name":"Zhu Xiao","orcid":"https://orcid.org/0000-0001-5645-160X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]},{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhu Xiao","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha 410082, China","State Key Laboratory of Integrated Service Networks, Xidian University, Xi\u2019an 710071, China","State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an 710071, China"],"raw_orcid":"https://orcid.org/0000-0001-5645-160X","affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha 410082, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"State Key Laboratory of Integrated Service Networks, Xidian University, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an 710071, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114585123","display_name":"Vincent Havyarimana","orcid":"https://orcid.org/0000-0002-3545-7639"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]},{"id":"https://openalex.org/I4210103330","display_name":"\u00c9cole Normale Sup\u00e9rieure","ror":"https://ror.org/01dp7jr64","country_code":"BI","type":"education","lineage":["https://openalex.org/I4210103330"]}],"countries":["BI","CN"],"is_corresponding":false,"raw_author_name":"Vincent Havyarimana","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha 410082, China","Department of Applied Sciences, Ecole Normale Sup\u00e9rieure, 6983 Bujumbura, Burundi"],"raw_orcid":"https://orcid.org/0000-0002-3545-7639","affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha 410082, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"Department of Applied Sciences, Ecole Normale Sup\u00e9rieure, 6983 Bujumbura, Burundi","institution_ids":["https://openalex.org/I4210103330"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100359025","display_name":"Tong Li","orcid":"https://orcid.org/0000-0002-4343-703X"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tong Li","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha 410082, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha 410082, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006089504","display_name":"Dong Wang","orcid":"https://orcid.org/0000-0002-2210-640X"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dong Wang","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha 410082, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha 410082, China","institution_ids":["https://openalex.org/I16609230"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5006089504"],"corresponding_institution_ids":["https://openalex.org/I16609230"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":8.0984,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.97093891,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"16","issue":"5","first_page":"692","last_page":"692"},"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":0.9997000098228455,"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":0.9997000098228455,"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/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9882000088691711,"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/smoothing","display_name":"Smoothing","score":0.8185911178588867},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.6019137501716614},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.5974335670471191},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.5783460736274719},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5315309166908264},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.5314927101135254},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.5200604796409607},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5162322521209717},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5069158673286438},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.49901461601257324},{"id":"https://openalex.org/keywords/multivariate-normal-distribution","display_name":"Multivariate normal distribution","score":0.4795205891132355},{"id":"https://openalex.org/keywords/ensemble-kalman-filter","display_name":"Ensemble Kalman filter","score":0.4638858437538147},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4484180212020874},{"id":"https://openalex.org/keywords/kriging","display_name":"Kriging","score":0.4182951748371124},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4001167416572571},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.341184139251709},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.2699275016784668},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.22440433502197266},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2085062861442566},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.19873303174972534},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07328152656555176}],"concepts":[{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.8185911178588867},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.6019137501716614},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.5974335670471191},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.5783460736274719},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5315309166908264},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.5314927101135254},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.5200604796409607},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5162322521209717},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5069158673286438},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.49901461601257324},{"id":"https://openalex.org/C177384507","wikidata":"https://www.wikidata.org/wiki/Q1149000","display_name":"Multivariate normal distribution","level":3,"score":0.4795205891132355},{"id":"https://openalex.org/C79334102","wikidata":"https://www.wikidata.org/wiki/Q3072268","display_name":"Ensemble Kalman filter","level":4,"score":0.4638858437538147},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4484180212020874},{"id":"https://openalex.org/C81692654","wikidata":"https://www.wikidata.org/wiki/Q225926","display_name":"Kriging","level":2,"score":0.4182951748371124},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4001167416572571},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.341184139251709},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.2699275016784668},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.22440433502197266},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2085062861442566},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.19873303174972534},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07328152656555176},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s16050692","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s16050692","pdf_url":"https://www.mdpi.com/1424-8220/16/5/692/pdf?version=1463123872","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:27187405","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/27187405","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:004e1964deb44a2a80c6c0d11e3a1232","is_oa":true,"landing_page_url":"https://doaj.org/article/004e1964deb44a2a80c6c0d11e3a1232","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 16, Iss 5, p 692 (2016)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:3848348","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4883383","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},{"id":"pmh:oai:mdpi.com:/1424-8220/16/5/692/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s16050692","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 16; Issue 5; Pages: 692","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s16050692","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s16050692","pdf_url":"https://www.mdpi.com/1424-8220/16/5/692/pdf?version=1463123872","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2094848848","display_name":null,"funder_award_id":"61272061 and 61301148","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2559337281","display_name":null,"funder_award_id":"14JJ7023","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2364050206.pdf"},"referenced_works_count":56,"referenced_works":["https://openalex.org/W88520345","https://openalex.org/W386331423","https://openalex.org/W576301840","https://openalex.org/W1486358286","https://openalex.org/W1499377030","https://openalex.org/W1752927435","https://openalex.org/W1883186006","https://openalex.org/W1895583490","https://openalex.org/W1965186506","https://openalex.org/W1970319972","https://openalex.org/W1973225318","https://openalex.org/W1973905351","https://openalex.org/W1983242376","https://openalex.org/W1997961682","https://openalex.org/W2001399218","https://openalex.org/W2007272082","https://openalex.org/W2012759149","https://openalex.org/W2018797163","https://openalex.org/W2028113506","https://openalex.org/W2049100978","https://openalex.org/W2049395560","https://openalex.org/W2064517238","https://openalex.org/W2074396175","https://openalex.org/W2079119589","https://openalex.org/W2082091352","https://openalex.org/W2084959191","https://openalex.org/W2087158441","https://openalex.org/W2097112478","https://openalex.org/W2110740148","https://openalex.org/W2115445963","https://openalex.org/W2116508759","https://openalex.org/W2124925800","https://openalex.org/W2130887231","https://openalex.org/W2133933452","https://openalex.org/W2140552995","https://openalex.org/W2141800329","https://openalex.org/W2148632366","https://openalex.org/W2153147150","https://openalex.org/W2156705969","https://openalex.org/W2160337655","https://openalex.org/W2162136131","https://openalex.org/W2168107299","https://openalex.org/W2176893490","https://openalex.org/W2178829616","https://openalex.org/W2178853689","https://openalex.org/W2187981872","https://openalex.org/W2326965558","https://openalex.org/W2335980140","https://openalex.org/W2405257751","https://openalex.org/W2618487344","https://openalex.org/W3100611908","https://openalex.org/W4231104577","https://openalex.org/W4232464081","https://openalex.org/W4250389103","https://openalex.org/W4302589940","https://openalex.org/W6679889613"],"related_works":["https://openalex.org/W2098360755","https://openalex.org/W566010457","https://openalex.org/W2600092203","https://openalex.org/W4293503520","https://openalex.org/W4300066510","https://openalex.org/W2056958800","https://openalex.org/W2803685231","https://openalex.org/W3134152097","https://openalex.org/W4311388919","https://openalex.org/W2966696655"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,108],"novel":[4],"nonlinear":[5],"framework":[6],"of":[7,31,90,103,118],"smoothing":[8,102,168],"method,":[9,40],"non-Gaussian":[10,68,93],"delayed":[11,96],"particle":[12],"smoother":[13],"(nGDPS),":[14],"is":[15,45,79,110,122,130],"proposed,":[16],"which":[17,63,100,129],"enables":[18],"vehicle":[19,135,159],"state":[20,160],"estimation":[21],"(VSE)":[22],"with":[23,83,114],"high":[24],"accuracy":[25,161],"taking":[26],"into":[27],"account":[28],"the":[29,32,38,41,51,58,84,87,91,104,115,126,142,146,151,158,164],"non-Gaussianity":[30],"measurement":[33,61],"and":[34,60,86,145,162,167],"process":[35,59],"noises.":[36],"Within":[37],"proposed":[39,111,152],"multivariate":[42],"Student's":[43],"t-distribution":[44],"adopted":[46],"in":[47],"order":[48],"to":[49,57,66,81,112],"compute":[50],"probability":[52],"distribution":[53],"function":[54],"(PDF)":[55],"related":[56],"noises,":[62],"are":[64],"assumed":[65],"be":[67],"distributed.":[69],"A":[70,95],"computation":[71],"approach":[72],"based":[73,124,140],"on":[74,125,141,157],"Ensemble":[75],"Kalman":[76],"Filter":[77],"(EnKF)":[78],"designed":[80],"cope":[82],"mean":[85],"covariance":[88],"matrix":[89],"proposal":[92],"distribution.":[94],"Gibbs":[97],"sampling":[98],"algorithm,":[99],"incorporates":[101],"sampled":[105],"trajectories":[106],"over":[107],"fixed-delay,":[109],"deal":[113],"sample":[116],"degeneracy":[117],"particles.":[119],"The":[120,137],"performance":[121],"investigated":[123],"real-world":[127,143],"data,":[128],"collected":[131],"by":[132],"low-cost":[133],"on-board":[134],"sensors.":[136],"comparison":[138],"study":[139],"experiments":[144],"statistical":[147],"analysis":[148],"demonstrates":[149],"that":[150],"nGDPS":[153],"has":[154],"significant":[155],"improvement":[156],"outperforms":[163],"existing":[165],"filtering":[166],"methods.":[169]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":4}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2016-06-24T00:00:00"}