{"id":"https://openalex.org/W2950081984","doi":"https://doi.org/10.1109/tmc.2019.2922133","title":"Jointly-Optimized Searching and Tracking with Random Finite Sets","display_name":"Jointly-Optimized Searching and Tracking with Random Finite Sets","publication_year":2019,"publication_date":"2019-06-13","ids":{"openalex":"https://openalex.org/W2950081984","doi":"https://doi.org/10.1109/tmc.2019.2922133","mag":"2950081984"},"language":"en","primary_location":{"id":"doi:10.1109/tmc.2019.2922133","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2019.2922133","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Mobile Computing","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2302.01845","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008276252","display_name":"Savvas Papaioannou","orcid":"https://orcid.org/0000-0003-3149-4202"},"institutions":[{"id":"https://openalex.org/I34771391","display_name":"University of Cyprus","ror":"https://ror.org/02qjrjx09","country_code":"CY","type":"education","lineage":["https://openalex.org/I34771391"]}],"countries":["CY"],"is_corresponding":true,"raw_author_name":"Savvas Papaioannou","raw_affiliation_strings":["KIOS Research and Innovation Centre of Excellence (KIOS CoE), University of Cyprus, Nicosia, Cyprus"],"raw_orcid":"https://orcid.org/0000-0003-3149-4202","affiliations":[{"raw_affiliation_string":"KIOS Research and Innovation Centre of Excellence (KIOS CoE), University of Cyprus, Nicosia, Cyprus","institution_ids":["https://openalex.org/I34771391"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005033255","display_name":"Panayiotis Kolios","orcid":"https://orcid.org/0000-0003-3981-993X"},"institutions":[{"id":"https://openalex.org/I34771391","display_name":"University of Cyprus","ror":"https://ror.org/02qjrjx09","country_code":"CY","type":"education","lineage":["https://openalex.org/I34771391"]}],"countries":["CY"],"is_corresponding":false,"raw_author_name":"Panayiotis Kolios","raw_affiliation_strings":["KIOS Research and Innovation Centre of Excellence (KIOS CoE), University of Cyprus, Nicosia, Cyprus"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KIOS Research and Innovation Centre of Excellence (KIOS CoE), University of Cyprus, Nicosia, Cyprus","institution_ids":["https://openalex.org/I34771391"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041366767","display_name":"Theocharis Theocharides","orcid":"https://orcid.org/0000-0001-7222-9152"},"institutions":[{"id":"https://openalex.org/I34771391","display_name":"University of Cyprus","ror":"https://ror.org/02qjrjx09","country_code":"CY","type":"education","lineage":["https://openalex.org/I34771391"]}],"countries":["CY"],"is_corresponding":false,"raw_author_name":"Theocharis Theocharides","raw_affiliation_strings":["KIOS Research and Innovation Centre of Excellence (KIOS CoE), University of Cyprus, Nicosia, Cyprus"],"raw_orcid":"https://orcid.org/0000-0001-7222-9152","affiliations":[{"raw_affiliation_string":"KIOS Research and Innovation Centre of Excellence (KIOS CoE), University of Cyprus, Nicosia, Cyprus","institution_ids":["https://openalex.org/I34771391"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073317773","display_name":"Christos G. Panayiotou","orcid":"https://orcid.org/0000-0002-6476-9025"},"institutions":[{"id":"https://openalex.org/I34771391","display_name":"University of Cyprus","ror":"https://ror.org/02qjrjx09","country_code":"CY","type":"education","lineage":["https://openalex.org/I34771391"]}],"countries":["CY"],"is_corresponding":false,"raw_author_name":"Christos G. Panayiotou","raw_affiliation_strings":["KIOS Research and Innovation Centre of Excellence (KIOS CoE), University of Cyprus, Nicosia, Cyprus"],"raw_orcid":"https://orcid.org/0000-0002-6476-9025","affiliations":[{"raw_affiliation_string":"KIOS Research and Innovation Centre of Excellence (KIOS CoE), University of Cyprus, Nicosia, Cyprus","institution_ids":["https://openalex.org/I34771391"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089297277","display_name":"Marios M. Polycarpou","orcid":"https://orcid.org/0000-0001-6495-9171"},"institutions":[{"id":"https://openalex.org/I34771391","display_name":"University of Cyprus","ror":"https://ror.org/02qjrjx09","country_code":"CY","type":"education","lineage":["https://openalex.org/I34771391"]}],"countries":["CY"],"is_corresponding":false,"raw_author_name":"Marios M. Polycarpou","raw_affiliation_strings":["KIOS Research and Innovation Centre of Excellence (KIOS CoE), University of Cyprus, Nicosia, Cyprus"],"raw_orcid":"https://orcid.org/0000-0001-6495-9171","affiliations":[{"raw_affiliation_string":"KIOS Research and Innovation Centre of Excellence (KIOS CoE), University of Cyprus, Nicosia, Cyprus","institution_ids":["https://openalex.org/I34771391"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5008276252"],"corresponding_institution_ids":["https://openalex.org/I34771391"],"apc_list":null,"apc_paid":null,"fwci":1.8861,"has_fulltext":true,"cited_by_count":20,"citation_normalized_percentile":{"value":0.89367591,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"19","issue":"10","first_page":"2374","last_page":"2391"},"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":0.9682999849319458,"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/T11622","display_name":"Maritime Navigation and Safety","score":0.9528999924659729,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/computer-science","display_name":"Computer science","score":0.7768347859382629},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6021552681922913},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5417762994766235},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5031275153160095},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.47247645258903503},{"id":"https://openalex.org/keywords/stochastic-process","display_name":"Stochastic process","score":0.4404636323451996},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39521533250808716},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35160648822784424},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3514247536659241},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3222947418689728},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14856794476509094}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7768347859382629},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6021552681922913},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5417762994766235},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5031275153160095},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.47247645258903503},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.4404636323451996},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39521533250808716},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35160648822784424},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3514247536659241},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3222947418689728},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14856794476509094},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tmc.2019.2922133","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2019.2922133","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Mobile Computing","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2302.01845","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2302.01845","pdf_url":"https://arxiv.org/pdf/2302.01845","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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:zenodo.org:3360419","is_oa":true,"landing_page_url":"https://zenodo.org/record/3360419","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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":"IEEE Transactions on Mobile Computing","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2302.01845","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2302.01845","pdf_url":"https://arxiv.org/pdf/2302.01845","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7300000190734863}],"awards":[{"id":"https://openalex.org/G1509369295","display_name":null,"funder_award_id":"783299","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G152985013","display_name":"KIOS Research and Innovation Centre of Excellence","funder_award_id":"739551","funder_id":"https://openalex.org/F4320337665","funder_display_name":"H2020 Spreading Excellence and Widening Participation"},{"id":"https://openalex.org/G2428888754","display_name":null,"funder_award_id":"739551","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320318143","display_name":"Directorate General for European Programmes, Coordination and Development","ror":null},{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320337665","display_name":"H2020 Spreading Excellence and Widening Participation","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2950081984.pdf"},"referenced_works_count":56,"referenced_works":["https://openalex.org/W34992941","https://openalex.org/W101015759","https://openalex.org/W652333456","https://openalex.org/W1557595030","https://openalex.org/W1587152123","https://openalex.org/W1603631609","https://openalex.org/W1852055750","https://openalex.org/W1909771825","https://openalex.org/W1933691875","https://openalex.org/W1936177838","https://openalex.org/W1969839206","https://openalex.org/W1979426194","https://openalex.org/W1985026734","https://openalex.org/W2011876093","https://openalex.org/W2014787937","https://openalex.org/W2019155142","https://openalex.org/W2026002536","https://openalex.org/W2049244691","https://openalex.org/W2054657157","https://openalex.org/W2060303868","https://openalex.org/W2088373424","https://openalex.org/W2105905583","https://openalex.org/W2110354007","https://openalex.org/W2120007881","https://openalex.org/W2126885789","https://openalex.org/W2139349757","https://openalex.org/W2145729159","https://openalex.org/W2154353836","https://openalex.org/W2161435744","https://openalex.org/W2165758957","https://openalex.org/W2168039849","https://openalex.org/W2181117068","https://openalex.org/W2254288984","https://openalex.org/W2324378478","https://openalex.org/W2411443472","https://openalex.org/W2485503572","https://openalex.org/W2527432647","https://openalex.org/W2568350243","https://openalex.org/W2736079647","https://openalex.org/W2750697947","https://openalex.org/W2763753747","https://openalex.org/W2763849641","https://openalex.org/W2790374560","https://openalex.org/W2962744701","https://openalex.org/W2963272312","https://openalex.org/W2964283858","https://openalex.org/W2979462056","https://openalex.org/W3023540311","https://openalex.org/W4211036892","https://openalex.org/W4211164258","https://openalex.org/W4230109265","https://openalex.org/W4254248308","https://openalex.org/W6633511732","https://openalex.org/W6635208941","https://openalex.org/W6691621831","https://openalex.org/W6769072021"],"related_works":["https://openalex.org/W2084086966","https://openalex.org/W2023861399","https://openalex.org/W2730915376","https://openalex.org/W2626306547","https://openalex.org/W2021396365","https://openalex.org/W2394134009","https://openalex.org/W2119515433","https://openalex.org/W2009561238","https://openalex.org/W1340065","https://openalex.org/W2764080676"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,110,166],"investigate":[4],"the":[5,52,61,72,88,102,119,135,158,163],"problem":[6,58,137],"of":[7,12,19,63,91,104,122,130,162],"joint":[8],"searching":[9,92],"and":[10,25,34,39,47,56,93,109,124,144,160],"tracking":[11,94],"multiple":[13],"mobile":[14,20],"targets":[15,23,123],"by":[16,151],"a":[17,31,128,139,152],"group":[18],"agents.":[21],"The":[22,41],"appear":[24],"disappear":[26],"at":[27,79],"random":[28,38,105],"times":[29],"inside":[30],"surveillance":[32],"region":[33],"their":[35,125],"positions":[36],"are":[37],"unknown.":[40],"agents":[42],"have":[43,167],"limited":[44],"sensing":[45],"range":[46],"receive":[48],"noisy":[49,131],"measurements":[50],"from":[51,127],"targets.":[53],"A":[54],"decision":[55],"control":[57,74],"arises,":[59],"where":[60],"mode":[62],"operation":[64],"(i.e.,":[65],"search":[66],"or":[67],"track)":[68],"as":[69,71,138],"well":[70],"mobility":[73],"action":[75],"for":[76],"each":[77,80],"agent,":[78],"time":[81],"instance,":[82],"must":[83],"be":[84,149],"determined":[85],"so":[86],"that":[87,146],"collective":[89],"goal":[90],"is":[95],"achieved.":[96],"We":[97,133],"build":[98],"our":[99],"approach":[100,165],"upon":[101],"theory":[103],"finite":[106],"sets":[107],"(RFS)":[108],"use":[111],"Bayesian":[112],"multi-object":[113],"stochastic":[114],"filtering":[115],"to":[116,156],"simultaneously":[117],"estimate":[118],"time-varying":[120],"number":[121],"states":[126],"sequence":[129],"measurements.":[132],"formulate":[134],"above":[136],"non-linear":[140],"binary":[141],"program":[142],"(NLBP)":[143],"show":[145],"it":[147],"can":[148],"approximated":[150],"genetic":[153],"algorithm.":[154],"Finally,":[155],"study":[157],"effectiveness":[159],"performance":[161],"proposed":[164],"conducted":[168],"extensive":[169],"simulation":[170],"experiments.":[171]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":7}],"updated_date":"2026-05-23T08:51:43.019350","created_date":"2025-10-10T00:00:00"}
