{"id":"https://openalex.org/W2775716028","doi":"https://doi.org/10.1109/iccais.2017.8217559","title":"Cauchy-Schwarz divergence-based distributed fusion with poisson random finite sets","display_name":"Cauchy-Schwarz divergence-based distributed fusion with poisson random finite sets","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2775716028","doi":"https://doi.org/10.1109/iccais.2017.8217559","mag":"2775716028"},"language":"en","primary_location":{"id":"doi:10.1109/iccais.2017.8217559","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccais.2017.8217559","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Control, Automation and Information Sciences (ICCAIS)","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/A5064997605","display_name":"Amirali Khodadadian Gostar","orcid":"https://orcid.org/0000-0002-4800-6554"},"institutions":[{"id":"https://openalex.org/I4210129773","display_name":"Institute of Engineering","ror":"https://ror.org/03ny67e60","country_code":"NP","type":"education","lineage":["https://openalex.org/I155028946","https://openalex.org/I4210129773"]}],"countries":["NP"],"is_corresponding":true,"raw_author_name":"Amirali K. Gostar","raw_affiliation_strings":["Faculty of Engineering, Institute of Engineering, Kathmandu, Nepal"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Institute of Engineering, Kathmandu, Nepal","institution_ids":["https://openalex.org/I4210129773"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050176259","display_name":"Reza Hoseinnezhad","orcid":"https://orcid.org/0000-0001-9525-1467"},"institutions":[{"id":"https://openalex.org/I4210129773","display_name":"Institute of Engineering","ror":"https://ror.org/03ny67e60","country_code":"NP","type":"education","lineage":["https://openalex.org/I155028946","https://openalex.org/I4210129773"]}],"countries":["NP"],"is_corresponding":false,"raw_author_name":"Reza Hoseinnezhad","raw_affiliation_strings":["Faculty of Engineering, Institute of Engineering, Kathmandu, Nepal"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Institute of Engineering, Kathmandu, Nepal","institution_ids":["https://openalex.org/I4210129773"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067249512","display_name":"Alireza Bab\u2010Hadiashar","orcid":"https://orcid.org/0000-0002-6192-2303"},"institutions":[{"id":"https://openalex.org/I4210129773","display_name":"Institute of Engineering","ror":"https://ror.org/03ny67e60","country_code":"NP","type":"education","lineage":["https://openalex.org/I155028946","https://openalex.org/I4210129773"]}],"countries":["NP"],"is_corresponding":false,"raw_author_name":"Alireza Bab-Hadiashar","raw_affiliation_strings":["Faculty of Engineering, Institute of Engineering, Kathmandu, Nepal"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Institute of Engineering, Kathmandu, Nepal","institution_ids":["https://openalex.org/I4210129773"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5064997605"],"corresponding_institution_ids":["https://openalex.org/I4210129773"],"apc_list":null,"apc_paid":null,"fwci":3.9004,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":{"value":0.94977613,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"112","last_page":"116"},"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9962999820709229,"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"}},{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9689000248908997,"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/divergence","display_name":"Divergence (linguistics)","score":0.64188152551651},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6187907457351685},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.6081011891365051},{"id":"https://openalex.org/keywords/covariance-intersection","display_name":"Covariance intersection","score":0.5796179175376892},{"id":"https://openalex.org/keywords/kullback\u2013leibler-divergence","display_name":"Kullback\u2013Leibler divergence","score":0.5493690967559814},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.5194339752197266},{"id":"https://openalex.org/keywords/cauchy-distribution","display_name":"Cauchy distribution","score":0.4950827658176422},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4752595126628876},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4626717269420624},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4468039572238922},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.4208180904388428},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.39917197823524475},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3573213219642639},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3520829975605011},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24615955352783203},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.15497463941574097},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.15395081043243408},{"id":"https://openalex.org/keywords/covariance-function","display_name":"Covariance function","score":0.12086686491966248},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11326339840888977}],"concepts":[{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.64188152551651},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6187907457351685},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.6081011891365051},{"id":"https://openalex.org/C83042196","wikidata":"https://www.wikidata.org/wiki/Q5178898","display_name":"Covariance intersection","level":4,"score":0.5796179175376892},{"id":"https://openalex.org/C171752962","wikidata":"https://www.wikidata.org/wiki/Q255166","display_name":"Kullback\u2013Leibler divergence","level":2,"score":0.5493690967559814},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.5194339752197266},{"id":"https://openalex.org/C49344536","wikidata":"https://www.wikidata.org/wiki/Q726441","display_name":"Cauchy distribution","level":2,"score":0.4950827658176422},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4752595126628876},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4626717269420624},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4468039572238922},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.4208180904388428},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39917197823524475},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3573213219642639},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3520829975605011},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24615955352783203},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.15497463941574097},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.15395081043243408},{"id":"https://openalex.org/C137250428","wikidata":"https://www.wikidata.org/wiki/Q5178897","display_name":"Covariance function","level":3,"score":0.12086686491966248},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11326339840888977},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccais.2017.8217559","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccais.2017.8217559","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Control, Automation and Information Sciences (ICCAIS)","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":28,"referenced_works":["https://openalex.org/W34992941","https://openalex.org/W217460636","https://openalex.org/W1511278462","https://openalex.org/W1556090664","https://openalex.org/W1557595030","https://openalex.org/W1845932225","https://openalex.org/W1977234023","https://openalex.org/W1994684794","https://openalex.org/W1997942227","https://openalex.org/W2031774932","https://openalex.org/W2045834636","https://openalex.org/W2078742450","https://openalex.org/W2106360727","https://openalex.org/W2126885789","https://openalex.org/W2136251587","https://openalex.org/W2137585588","https://openalex.org/W2145324048","https://openalex.org/W2161435744","https://openalex.org/W2164056672","https://openalex.org/W2535464896","https://openalex.org/W2564070486","https://openalex.org/W2761761724","https://openalex.org/W3103587788","https://openalex.org/W3217006579","https://openalex.org/W6608734034","https://openalex.org/W6633207198","https://openalex.org/W6633511732","https://openalex.org/W6804679018"],"related_works":["https://openalex.org/W2105321464","https://openalex.org/W2887774187","https://openalex.org/W2543883930","https://openalex.org/W2388220555","https://openalex.org/W1554844486","https://openalex.org/W1520875569","https://openalex.org/W3048739257","https://openalex.org/W1665563134","https://openalex.org/W2963604926","https://openalex.org/W2199957582"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,37,86],"new":[4],"approach":[5],"towards":[6],"statistical":[7],"fusion":[8,55,90,105],"of":[9,19,36,77,82,91,109],"multi-source":[10,53],"information.":[11],"Our":[12],"solution":[13,88],"is":[14,56],"formulated":[15],"in":[16,51,107],"the":[17,21,63,75],"context":[18],"fusing":[20],"Poisson":[22,93],"finite":[23],"random":[24],"set":[25],"posteriors":[26],"returned":[27],"by":[28],"multiple":[29,92],"local":[30],"PHD":[31],"filters":[32],"at":[33],"sensor":[34,71],"nodes":[35],"distributed":[38],"multi-sensor":[39],"multi-object":[40],"estimation":[41],"system.":[42],"The":[43],"most":[44],"common":[45],"measure":[46],"used":[47],"for":[48,70,89],"information":[49,54],"gain":[50],"stochastic":[52],"Kullback-Leibler":[57],"divergence":[58,80],"(KLD)":[59],"which":[60],"leads":[61],"to":[62],"well-known":[64],"Generalised":[65],"Covariance":[66],"Intersection":[67],"(GCI)":[68],"rule":[69,106],"fusion.":[72],"We":[73],"present":[74],"idea":[76],"using":[78],"Cauchy-Schwarz":[79],"instead":[81],"KLD":[83],"and":[84],"derive":[85],"closed-form":[87],"posteriors.":[94],"Simulation":[95],"results":[96],"show":[97],"that":[98],"our":[99],"method":[100],"performs":[101],"favourably":[102],"against":[103],"GCI":[104],"terms":[108],"overall":[110],"tracking":[111],"performance.":[112]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
