{"id":"https://openalex.org/W4390044900","doi":"https://doi.org/10.1109/sdf-mfi59545.2023.10361371","title":"Progressive Particle Filtering Using Projected Cumulative Distributions","display_name":"Progressive Particle Filtering Using Projected Cumulative Distributions","publication_year":2023,"publication_date":"2023-11-27","ids":{"openalex":"https://openalex.org/W4390044900","doi":"https://doi.org/10.1109/sdf-mfi59545.2023.10361371"},"language":"en","primary_location":{"id":"doi:10.1109/sdf-mfi59545.2023.10361371","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sdf-mfi59545.2023.10361371","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Symposium Sensor Data Fusion and International Conference on Multisensor Fusion and Integration (SDF-MFI)","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/A5002241347","display_name":"Dominik Prossel","orcid":null},"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":"Dominik Prossel","raw_affiliation_strings":["Karlsruhe Institute of Technology (KIT),Institute for Anthropomatics and Robotics,Intelligent Sensor-Actuator-Systems Laboratory (ISAS),Germany","Intelligent Sensor-Actuator-Systems Laboratory (ISAS), Institute for Anthropomatics and Robotics, Karlsruhe Institute of Technology (KIT), Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology (KIT),Institute for Anthropomatics and Robotics,Intelligent Sensor-Actuator-Systems Laboratory (ISAS),Germany","institution_ids":["https://openalex.org/I102335020"]},{"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":["Karlsruhe Institute of Technology (KIT),Institute for Anthropomatics and Robotics,Intelligent Sensor-Actuator-Systems Laboratory (ISAS),Germany","Intelligent Sensor-Actuator-Systems Laboratory (ISAS), Institute for Anthropomatics and Robotics, Karlsruhe Institute of Technology (KIT), Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology (KIT),Institute for Anthropomatics and Robotics,Intelligent Sensor-Actuator-Systems Laboratory (ISAS),Germany","institution_ids":["https://openalex.org/I102335020"]},{"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":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4895,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.72462136,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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":0.9998999834060669,"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":0.9998999834060669,"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":0.9835000038146973,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9800000190734863,"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/piecewise","display_name":"Piecewise","score":0.6924901008605957},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.6877383589744568},{"id":"https://openalex.org/keywords/cumulative-distribution-function","display_name":"Cumulative distribution function","score":0.5689491629600525},{"id":"https://openalex.org/keywords/degeneracy","display_name":"Degeneracy (biology)","score":0.5457094311714172},{"id":"https://openalex.org/keywords/auxiliary-particle-filter","display_name":"Auxiliary particle filter","score":0.5100153684616089},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5040408968925476},{"id":"https://openalex.org/keywords/particle","display_name":"Particle (ecology)","score":0.4673156142234802},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.46404263377189636},{"id":"https://openalex.org/keywords/constant","display_name":"Constant (computer programming)","score":0.46045663952827454},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4487777650356293},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3787474036216736},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.366062194108963},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.35047590732574463},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.33938702940940857},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3274540603160858},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2545931339263916},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.2337859570980072},{"id":"https://openalex.org/keywords/ensemble-kalman-filter","display_name":"Ensemble Kalman filter","score":0.22624614834785461},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.22135499119758606},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.20799395442008972},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.07295975089073181}],"concepts":[{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.6924901008605957},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.6877383589744568},{"id":"https://openalex.org/C103784038","wikidata":"https://www.wikidata.org/wiki/Q386228","display_name":"Cumulative distribution function","level":3,"score":0.5689491629600525},{"id":"https://openalex.org/C2777727622","wikidata":"https://www.wikidata.org/wiki/Q5251772","display_name":"Degeneracy (biology)","level":2,"score":0.5457094311714172},{"id":"https://openalex.org/C52483021","wikidata":"https://www.wikidata.org/wiki/Q4827310","display_name":"Auxiliary particle filter","level":5,"score":0.5100153684616089},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5040408968925476},{"id":"https://openalex.org/C2778517922","wikidata":"https://www.wikidata.org/wiki/Q7140482","display_name":"Particle (ecology)","level":2,"score":0.4673156142234802},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.46404263377189636},{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.46045663952827454},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4487777650356293},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3787474036216736},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.366062194108963},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.35047590732574463},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.33938702940940857},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3274540603160858},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2545931339263916},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.2337859570980072},{"id":"https://openalex.org/C79334102","wikidata":"https://www.wikidata.org/wiki/Q3072268","display_name":"Ensemble Kalman filter","level":4,"score":0.22624614834785461},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.22135499119758606},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.20799395442008972},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.07295975089073181},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sdf-mfi59545.2023.10361371","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sdf-mfi59545.2023.10361371","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Symposium Sensor Data Fusion and International Conference on Multisensor Fusion and Integration (SDF-MFI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1639961155","https://openalex.org/W1852865843","https://openalex.org/W1999055853","https://openalex.org/W2040196349","https://openalex.org/W2062171861","https://openalex.org/W2123487311","https://openalex.org/W2136661846","https://openalex.org/W2740924709","https://openalex.org/W2949593996","https://openalex.org/W2963317718","https://openalex.org/W3021155927","https://openalex.org/W3085594844","https://openalex.org/W3123982523","https://openalex.org/W3128052428","https://openalex.org/W4225331116","https://openalex.org/W4248761255","https://openalex.org/W4293094112","https://openalex.org/W4300724243","https://openalex.org/W4301588700","https://openalex.org/W4386160211","https://openalex.org/W6637824194","https://openalex.org/W6639416718","https://openalex.org/W6689985608","https://openalex.org/W6753832149"],"related_works":["https://openalex.org/W2368144031","https://openalex.org/W3144709167","https://openalex.org/W2355962871","https://openalex.org/W2127981223","https://openalex.org/W2162253570","https://openalex.org/W2109576686","https://openalex.org/W2593675237","https://openalex.org/W1824810860","https://openalex.org/W2382411933","https://openalex.org/W2353687059"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,16,53,83,89],"progressive":[3],"particle":[4,28,86],"filter":[5,79,87],"that":[6],"inherently":[7],"avoids":[8],"sample":[9],"degeneracy":[10],"by":[11,23],"splitting":[12],"the":[13,27],"likelihood":[14],"into":[15],"product":[17],"of":[18],"wider":[19],"functions":[20,67],"applied":[21],"step":[22],"step.":[24],"Between":[25],"steps,":[26],"distribution":[29],"is":[30,80],"resampled":[31],"using":[32],"projected":[33],"cumulative":[34],"distributions":[35],"(PCDs).":[36],"To":[37],"be":[38],"able":[39],"to":[40,70],"handle":[41],"weighted":[42],"Dirac":[43],"mixture":[44],"distributions,":[45],"their":[46],"corresponding":[47],"one-dimensional":[48],"densities":[49],"are":[50,62],"interpolated":[51],"with":[52,82],"piecewise":[54],"constant":[55],"function.":[56],"Both":[57],"Cram\u00e9r-von-Mises":[58],"and":[59,72],"2-Wasserstein":[60],"distance":[61],"used":[63],"as":[64],"base":[65],"objective":[66],"for":[68],"PCDs":[69],"deterministically":[71],"optimally":[73],"resample":[74],"such":[75],"distributions.":[76],"The":[77],"proposed":[78],"compared":[81],"standard":[84],"SIR":[85],"on":[88],"simulated":[90],"tracking":[91],"problem.":[92]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}