{"id":"https://openalex.org/W3014583889","doi":"https://doi.org/10.23919/fusion45008.2020.9190174","title":"The Role of Bounded Fields-of-View and Negative Information in Finite Set Statistics (FISST)","display_name":"The Role of Bounded Fields-of-View and Negative Information in Finite Set Statistics (FISST)","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3014583889","doi":"https://doi.org/10.23919/fusion45008.2020.9190174","mag":"3014583889"},"language":"en","primary_location":{"id":"doi:10.23919/fusion45008.2020.9190174","is_oa":false,"landing_page_url":"https://doi.org/10.23919/fusion45008.2020.9190174","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 23rd International Conference on Information Fusion (FUSION)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2004.00795","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Keith LeGrand","orcid":null},"institutions":[{"id":"https://openalex.org/I1312486979","display_name":"Local Initiatives Support Corporation","ror":"https://ror.org/04r5g1376","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1312486979"]},{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Keith LeGrand","raw_affiliation_strings":["Laboratory for Intelligent Systems and Controls (LISC), Sibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, New York, United States"],"affiliations":[{"raw_affiliation_string":"Laboratory for Intelligent Systems and Controls (LISC), Sibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, New York, United States","institution_ids":["https://openalex.org/I1312486979","https://openalex.org/I205783295"]}]},{"author_position":"last","author":{"id":null,"display_name":"Silvia Ferrari","orcid":null},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]},{"id":"https://openalex.org/I1312486979","display_name":"Local Initiatives Support Corporation","ror":"https://ror.org/04r5g1376","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1312486979"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Silvia Ferrari","raw_affiliation_strings":["Laboratory for Intelligent Systems and Controls (LISC), Sibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, New York, United States"],"affiliations":[{"raw_affiliation_string":"Laboratory for Intelligent Systems and Controls (LISC), Sibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, New York, United States","institution_ids":["https://openalex.org/I1312486979","https://openalex.org/I205783295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1312486979","https://openalex.org/I205783295"],"apc_list":null,"apc_paid":null,"fwci":0.5485,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.72664342,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"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":0.9991999864578247,"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":0.9991999864578247,"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":0.9851999878883362,"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/T12321","display_name":"Insect Pheromone Research and Control","score":0.967199981212616,"subfield":{"id":"https://openalex.org/subfields/1109","display_name":"Insect Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cardinality","display_name":"Cardinality (data modeling)","score":0.6506999731063843},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.6305999755859375},{"id":"https://openalex.org/keywords/finite-set","display_name":"Finite set","score":0.5824999809265137},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5817999839782715},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5263000130653381},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.5169000029563904},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.42500001192092896}],"concepts":[{"id":"https://openalex.org/C87117476","wikidata":"https://www.wikidata.org/wiki/Q362383","display_name":"Cardinality (data modeling)","level":2,"score":0.6506999731063843},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.6305999755859375},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6140999794006348},{"id":"https://openalex.org/C162392398","wikidata":"https://www.wikidata.org/wiki/Q272404","display_name":"Finite set","level":2,"score":0.5824999809265137},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5817999839782715},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5263000130653381},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5169000029563904},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.43070000410079956},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.42500001192092896},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4219000041484833},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.42010000348091125},{"id":"https://openalex.org/C153046414","wikidata":"https://www.wikidata.org/wiki/Q12482","display_name":"Set theory","level":3,"score":0.3553999960422516},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.3310000002384186},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32989999651908875},{"id":"https://openalex.org/C113336015","wikidata":"https://www.wikidata.org/wiki/Q574010","display_name":"Complete information","level":2,"score":0.32670000195503235},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3140000104904175},{"id":"https://openalex.org/C130648207","wikidata":"https://www.wikidata.org/wiki/Q6007562","display_name":"Imprecise probability","level":3,"score":0.28049999475479126},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.26649999618530273},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.26579999923706055},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.2635999917984009},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.2606000006198883},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2597000002861023}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.23919/fusion45008.2020.9190174","is_oa":false,"landing_page_url":"https://doi.org/10.23919/fusion45008.2020.9190174","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 23rd International Conference on Information Fusion (FUSION)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2004.00795","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2004.00795","pdf_url":"https://arxiv.org/pdf/2004.00795","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2004.00795","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2004.00795","pdf_url":"https://arxiv.org/pdf/2004.00795","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1909771825","https://openalex.org/W2006245542","https://openalex.org/W2027055844","https://openalex.org/W2049244691","https://openalex.org/W2055406046","https://openalex.org/W2064670405","https://openalex.org/W2069146315","https://openalex.org/W2110012495","https://openalex.org/W2130309256","https://openalex.org/W2137585588","https://openalex.org/W2143840164","https://openalex.org/W2154353836","https://openalex.org/W2172276081","https://openalex.org/W2592906030","https://openalex.org/W2800190771","https://openalex.org/W2891789327","https://openalex.org/W2963139408","https://openalex.org/W2969740029","https://openalex.org/W6636243636"],"related_works":[],"abstract_inverted_index":{"The":[0,68],"role":[1],"of":[2,15,24,33,36,47,76],"negative":[3],"information":[4],"is":[5,17,28,70],"particularly":[6],"important":[7],"to":[8,92],"search-detect-track":[9],"problems":[10],"in":[11],"which":[12],"the":[13,22,25,34,48],"number":[14],"objects":[16],"unknown":[18],"a":[19,73,82,87],"priori,":[20],"and":[21,51,53,61,79],"size":[23],"sensor":[26,83],"field-of-view":[27,49],"far":[29],"smaller":[30],"than":[31],"that":[32],"region":[35],"interest.":[37],"This":[38],"paper":[39],"presents":[40],"an":[41],"approach":[42,69],"for":[43,72],"systematically":[44],"incorporating":[45],"knowledge":[46],"geometry":[50],"position":[52],"object":[54,58],"inclusion/exclusion":[55],"evidence":[56],"into":[57],"state":[59],"densities":[60],"random":[62],"finite":[63],"set":[64,75],"multi-object":[65,77],"cardinality":[66],"distributions.":[67],"derived":[71],"representative":[74],"distributions":[78],"demonstrated":[80],"through":[81],"planning":[84],"problem":[85],"involving":[86],"multi-Bernoulli":[88],"process":[89],"with":[90],"up":[91],"one-hundred":[93],"potential":[94],"targets.":[95]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2020-04-10T00:00:00"}