{"id":"https://openalex.org/W2891147704","doi":"https://doi.org/10.1109/inista.2018.8466310","title":"Fuzzy-Based Evidence Accrual for Target Maneuver Detection","display_name":"Fuzzy-Based Evidence Accrual for Target Maneuver Detection","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2891147704","doi":"https://doi.org/10.1109/inista.2018.8466310","mag":"2891147704"},"language":"en","primary_location":{"id":"doi:10.1109/inista.2018.8466310","is_oa":false,"landing_page_url":"https://doi.org/10.1109/inista.2018.8466310","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Innovations in Intelligent Systems and Applications (INISTA)","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/A5067035684","display_name":"Stephen C. Stubberud","orcid":"https://orcid.org/0000-0002-1216-3400"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Stephen Stubberud","raw_affiliation_strings":["Advanced Programs, Oakridge Technology, San Diego, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Advanced Programs, Oakridge Technology, San Diego, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034346452","display_name":"Kathleen Kramer","orcid":"https://orcid.org/0000-0002-4789-0245"},"institutions":[{"id":"https://openalex.org/I160856358","display_name":"University of San Diego","ror":"https://ror.org/03jbbze48","country_code":"US","type":"education","lineage":["https://openalex.org/I160856358"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kathleen Kramer","raw_affiliation_strings":["Department of Electrical Engineering, University of San Diego, San Diego, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of San Diego, San Diego, USA","institution_ids":["https://openalex.org/I160856358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072874386","display_name":"Allen R. Stubberud","orcid":null},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Allen Stubberud","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of California Irvine, Irvine, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California Irvine, Irvine, USA","institution_ids":["https://openalex.org/I204250578"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.169,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.60644185,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"4","issue":null,"first_page":"1","last_page":"7"},"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":0.9916999936103821,"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":0.9916999936103821,"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/T11325","display_name":"Inertial Sensor and Navigation","score":0.9629999995231628,"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"}},{"id":"https://openalex.org/T12158","display_name":"Guidance and Control Systems","score":0.909600019454956,"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/kalman-filter","display_name":"Kalman filter","score":0.8029875159263611},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.671413779258728},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.6298204064369202},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.5366304516792297},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5210748910903931},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.49185776710510254},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4838804006576538},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.47608959674835205},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4632815718650818},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.4609115719795227}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.8029875159263611},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.671413779258728},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.6298204064369202},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5366304516792297},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5210748910903931},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.49185776710510254},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4838804006576538},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.47608959674835205},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4632815718650818},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.4609115719795227},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","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":1,"locations":[{"id":"doi:10.1109/inista.2018.8466310","is_oa":false,"landing_page_url":"https://doi.org/10.1109/inista.2018.8466310","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Innovations in Intelligent Systems and Applications (INISTA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W755194005","https://openalex.org/W1852921042","https://openalex.org/W1989191626","https://openalex.org/W2007224051","https://openalex.org/W2058130919","https://openalex.org/W2078171407","https://openalex.org/W2129078811","https://openalex.org/W2130838104","https://openalex.org/W2143891888","https://openalex.org/W2406470551","https://openalex.org/W2772084158","https://openalex.org/W6652180546","https://openalex.org/W6670073069","https://openalex.org/W6746594635"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W4323768008","https://openalex.org/W2084086966","https://openalex.org/W4360995134","https://openalex.org/W1941703695","https://openalex.org/W2373557848","https://openalex.org/W2088970451","https://openalex.org/W2002488624","https://openalex.org/W2157008402","https://openalex.org/W2215635302"],"abstract_inverted_index":{"One":[0],"of":[1,14,26,46,63,148,158,186,198],"the":[2,9,19,24,27,43,47,61,64,69,74,85,91,107,110,114,138,146,159,199,204],"primary":[3],"techniques":[4,97],"for":[5,101],"target":[6,39,65,71,75,116],"tracking":[7,28,44,205],"is":[8,57,129,165,190],"Kalman":[10,20,176,200],"filter":[11,21,48,86,92,177],"or":[12],"one":[13],"its":[15,77],"many":[16],"variants.":[17],"While":[18,96],"has":[22,31],"been":[23,32],"staple":[25],"community,":[29],"it":[30],"shown":[33],"to":[34,68,93,118,178],"have":[35],"drawbacks.":[36],"When":[37],"a":[38,41,58,125,149,174,184],"performs":[40,76],"maneuver,":[42],"solution":[45],"can":[49,132],"experience":[50],"deleterious":[51],"issues.":[52],"The":[53,162,192],"most":[54],"common":[55],"issue":[56,82],"lag":[59],"in":[60,109,135],"position":[62,72,117],"track":[66],"compared":[67],"true":[70],"as":[73],"maneuver.":[78],"A":[79],"more":[80,151],"problematic":[81],"occurs":[83],"when":[84],"covariance":[87],"collapses":[88],"which":[89],"requires":[90],"be":[94,133],"reinitialized.":[95],"exist":[98],"that":[99,131,172,188],"compensate":[100],"maneuvers,":[102],"they":[103],"rely":[104],"on":[105],"detecting":[106],"error":[108],"estimated":[111],"trajectory":[112],"and":[113,182],"measured":[115],"generate":[119],"their":[120],"response.":[121],"In":[122],"this":[123],"effort,":[124],"maneuver":[126,140,150,163,189],"detection":[127,156,164],"routine":[128,144],"developed":[130],"used":[134],"conjunction":[136],"with":[137],"standard":[139],"compensation":[141],"approaches.":[142],"This":[143],"validates":[145],"existence":[147],"quickly":[152],"than":[153],"using":[154],"inherent":[155],"methods":[157],"other":[160],"methods.":[161],"performed":[166],"by":[167],"an":[168],"evidence":[169,187],"accrual":[170],"system":[171],"uses":[173,195],"fuzzy":[175],"incorporate":[179],"new":[180],"information":[181],"provide":[183],"level":[185],"occurring.":[191],"input":[193],"data":[194],"behavior":[196],"characteristics":[197],"gain":[201],"vector":[202],"from":[203],"algorithm.":[206]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
