{"id":"https://openalex.org/W4413087237","doi":"https://doi.org/10.1109/ssp64130.2025.11073391","title":"Generalising Covariance Intersection for multiple posterior densities in multi-sensor fusion","display_name":"Generalising Covariance Intersection for multiple posterior densities in multi-sensor fusion","publication_year":2025,"publication_date":"2025-06-08","ids":{"openalex":"https://openalex.org/W4413087237","doi":"https://doi.org/10.1109/ssp64130.2025.11073391"},"language":"en","primary_location":{"id":"doi:10.1109/ssp64130.2025.11073391","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssp64130.2025.11073391","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Statistical Signal Processing Workshop (SSP)","raw_type":"proceedings-article"},"type":"conference-paper","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":null,"display_name":"Murat \u00dcney","orcid":null},"institutions":[{"id":"https://openalex.org/I146655781","display_name":"University of Liverpool","ror":"https://ror.org/04xs57h96","country_code":"GB","type":"education","lineage":["https://openalex.org/I146655781"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Murat \u00dcney","raw_affiliation_strings":["University of Liverpool,Electrical Eng and Electronics Dept,Liverpool,UK,L69 3DX"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Liverpool,Electrical Eng and Electronics Dept,Liverpool,UK,L69 3DX","institution_ids":["https://openalex.org/I146655781"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Simon J. Julier","orcid":null},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Simon J. Julier","raw_affiliation_strings":["University College London,Department of Computer Science,London,UK,WC1E 6BT"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University College London,Department of Computer Science,London,UK,WC1E 6BT","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"last","author":{"id":null,"display_name":"Simon Maskell","orcid":null},"institutions":[{"id":"https://openalex.org/I146655781","display_name":"University of Liverpool","ror":"https://ror.org/04xs57h96","country_code":"GB","type":"education","lineage":["https://openalex.org/I146655781"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Simon Maskell","raw_affiliation_strings":["University of Liverpool,Electrical Eng and Electronics Dept,Liverpool,UK,L69 3DX"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Liverpool,Electrical Eng and Electronics Dept,Liverpool,UK,L69 3DX","institution_ids":["https://openalex.org/I146655781"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15869385,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9629999995231628,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9387000203132629,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/covariance-intersection","display_name":"Covariance intersection","score":0.9061480760574341},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.6985431909561157},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.6591583490371704},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5497100353240967},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5319443345069885},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5243169069290161},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35183870792388916},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3227921724319458},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26341283321380615},{"id":"https://openalex.org/keywords/covariance-function","display_name":"Covariance function","score":0.2619341015815735},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.2329203188419342},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18930846452713013},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.1757465898990631},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16484206914901733}],"concepts":[{"id":"https://openalex.org/C83042196","wikidata":"https://www.wikidata.org/wiki/Q5178898","display_name":"Covariance intersection","level":4,"score":0.9061480760574341},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.6985431909561157},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.6591583490371704},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5497100353240967},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5319443345069885},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5243169069290161},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35183870792388916},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3227921724319458},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26341283321380615},{"id":"https://openalex.org/C137250428","wikidata":"https://www.wikidata.org/wiki/Q5178897","display_name":"Covariance function","level":3,"score":0.2619341015815735},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.2329203188419342},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18930846452713013},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.1757465898990631},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16484206914901733},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ssp64130.2025.11073391","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssp64130.2025.11073391","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Statistical Signal Processing Workshop (SSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:10217482","is_oa":false,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/10217482/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"In: 2025 IEEE Statistical Signal Processing Workshop (SSP). IEEE: Edinburgh, United Kingdom. (2025)","raw_type":"Proceedings paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W625957030","https://openalex.org/W1971536112","https://openalex.org/W1994684794","https://openalex.org/W1999565686","https://openalex.org/W2026478216","https://openalex.org/W2088117020","https://openalex.org/W2099111195","https://openalex.org/W2106360727","https://openalex.org/W2110156410","https://openalex.org/W2127647523","https://openalex.org/W2132678196","https://openalex.org/W2143833711","https://openalex.org/W2148234182","https://openalex.org/W2505253431","https://openalex.org/W2535464896","https://openalex.org/W2889690319","https://openalex.org/W2964136933","https://openalex.org/W3091970060","https://openalex.org/W3100818473","https://openalex.org/W4299818172","https://openalex.org/W4408083158"],"related_works":["https://openalex.org/W4385938064","https://openalex.org/W2718384077","https://openalex.org/W1597192237","https://openalex.org/W2022823194","https://openalex.org/W2317323511","https://openalex.org/W2543883930","https://openalex.org/W2395573186","https://openalex.org/W2034294006","https://openalex.org/W338040569","https://openalex.org/W2152662039"],"abstract_inverted_index":{"Covariance":[0],"intersection":[1],"(CI)":[2],"is":[3,79],"a":[4],"widely":[5,80],"studied":[6],"method":[7],"to":[8,58,122],"combine":[9],"posterior":[10],"state":[11,63],"probability":[12],"densities":[13,21],"in":[14,82,85,104,120],"sensor":[15],"fusion.":[16],"CI":[17,57],"combines":[18],"two":[19,69],"input":[20],"by":[22,36],"first":[23,45],"considering":[24],"their":[25],"exponential":[26],"mixture":[27,39],"density":[28],"(EMD),":[29],"or":[30,92,112],"weighted":[31],"geometric":[32,74],"mean":[33],"density,":[34],"followed":[35],"selecting":[37],"the":[38,72,83,102,105],"weights.":[40],"In":[41],"this":[42],"work,":[43],"we":[44,66],"introduce":[46],"Kullback-Leibler":[47],"divergence":[48],"centroid":[49],"(KLDC)":[50],"and":[51,71,90],"minimum":[52],"Entropy":[53],"(ME)":[54],"generalisations":[55,70],"of":[56,62,107],"an":[59],"arbitrary":[60],"number":[61],"densities.":[64],"Then,":[65],"compare":[67],"these":[68],"equally-weighted":[73],"average":[75],"(EWGA)":[76],"fusion,":[77],"which":[78],"used":[81],"literature,":[84],"scenarios":[86],"with":[87,125],"correlated":[88,109],"measurements":[89],"clutter,":[91],"false":[93,113,127],"alarms.":[94,128],"Our":[95],"experiments":[96],"indicate":[97],"that":[98],"ME":[99],"fusion":[100],"performs":[101],"best":[103],"case":[106],"highly":[108],"measurement":[110],"errors":[111],"alarms,":[114],"whilst":[115],"EWGA":[116],"shows":[117],"better":[118],"performance":[119],"no":[121,126],"medium":[123],"correlation":[124]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-08-11T00:00:00"}
