{"id":"https://openalex.org/W2142436796","doi":"https://doi.org/10.1109/icif.2006.301808","title":"Track Fusion with Legacy Track Sources","display_name":"Track Fusion with Legacy Track Sources","publication_year":2006,"publication_date":"2006-07-01","ids":{"openalex":"https://openalex.org/W2142436796","doi":"https://doi.org/10.1109/icif.2006.301808","mag":"2142436796"},"language":"en","primary_location":{"id":"doi:10.1109/icif.2006.301808","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icif.2006.301808","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 9th International Conference on Information Fusion","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/A5100356335","display_name":"Huimin Chen","orcid":"https://orcid.org/0000-0002-1326-9784"},"institutions":[{"id":"https://openalex.org/I192396691","display_name":"University of New Orleans","ror":"https://ror.org/034mtvk83","country_code":"US","type":"education","lineage":["https://openalex.org/I192396691","https://openalex.org/I2799628689"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Huimin Chen","raw_affiliation_strings":["University of New Orleans, New Orleans, LA, USA","Dept. of Electr. Eng., Univ. of New Orleans, LA"],"affiliations":[{"raw_affiliation_string":"University of New Orleans, New Orleans, LA, USA","institution_ids":["https://openalex.org/I192396691"]},{"raw_affiliation_string":"Dept. of Electr. Eng., Univ. of New Orleans, LA","institution_ids":["https://openalex.org/I192396691"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044127482","display_name":"Yaakov Bar\u2010Shalom","orcid":"https://orcid.org/0000-0003-1317-3368"},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yaakov Bar-Shalom","raw_affiliation_strings":["Department of Electrical & Computer Engineering, University of Connecticut, Storrs, CT, USA","Univ. of Connecticut, Dept. of Electrical & Computer Engineering, Storrs, CT 06269-1157, USA. ybs@ee.uconn.edu"],"affiliations":[{"raw_affiliation_string":"Department of Electrical & Computer Engineering, University of Connecticut, Storrs, CT, USA","institution_ids":["https://openalex.org/I140172145"]},{"raw_affiliation_string":"Univ. of Connecticut, Dept. of Electrical & Computer Engineering, Storrs, CT 06269-1157, USA. ybs@ee.uconn.edu","institution_ids":["https://openalex.org/I140172145"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100356335"],"corresponding_institution_ids":["https://openalex.org/I192396691"],"apc_list":null,"apc_paid":null,"fwci":3.614,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.93066101,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"5096","issue":null,"first_page":"1","last_page":"8"},"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":0.9997000098228455,"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":0.9997000098228455,"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":0.9868000149726868,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9717000126838684,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/fusion-center","display_name":"Fusion center","score":0.7873055338859558},{"id":"https://openalex.org/keywords/track","display_name":"Track (disk drive)","score":0.7453344464302063},{"id":"https://openalex.org/keywords/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.7225700616836548},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6799196600914001},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.576134443283081},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.5661522746086121},{"id":"https://openalex.org/keywords/covariance-intersection","display_name":"Covariance intersection","score":0.5570234656333923},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.49484390020370483},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.49178269505500793},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.45243600010871887},{"id":"https://openalex.org/keywords/tracking-system","display_name":"Tracking system","score":0.4448443055152893},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4359549880027771},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4041704833507538},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3490888178348541},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33602267503738403},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15196841955184937},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14640158414840698},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11788952350616455},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.11385303735733032},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.07491186261177063}],"concepts":[{"id":"https://openalex.org/C2781234732","wikidata":"https://www.wikidata.org/wiki/Q943505","display_name":"Fusion center","level":4,"score":0.7873055338859558},{"id":"https://openalex.org/C89992363","wikidata":"https://www.wikidata.org/wiki/Q5961558","display_name":"Track (disk drive)","level":2,"score":0.7453344464302063},{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.7225700616836548},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6799196600914001},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.576134443283081},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.5661522746086121},{"id":"https://openalex.org/C83042196","wikidata":"https://www.wikidata.org/wiki/Q5178898","display_name":"Covariance intersection","level":4,"score":0.5570234656333923},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.49484390020370483},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.49178269505500793},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.45243600010871887},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.4448443055152893},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4359549880027771},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4041704833507538},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3490888178348541},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33602267503738403},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15196841955184937},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14640158414840698},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11788952350616455},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.11385303735733032},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.07491186261177063},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icif.2006.301808","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icif.2006.301808","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 9th International Conference on Information Fusion","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W7309667","https://openalex.org/W1531532259","https://openalex.org/W1667165204","https://openalex.org/W1683353658","https://openalex.org/W1977783763","https://openalex.org/W2004794273","https://openalex.org/W2036881328","https://openalex.org/W2046245205","https://openalex.org/W2068330147","https://openalex.org/W2083942768","https://openalex.org/W2084679922","https://openalex.org/W2106087952","https://openalex.org/W2137394731","https://openalex.org/W2142315243","https://openalex.org/W2145154622","https://openalex.org/W2151297388","https://openalex.org/W2238582461","https://openalex.org/W2942228371","https://openalex.org/W3011771799","https://openalex.org/W4237072884"],"related_works":["https://openalex.org/W2543883930","https://openalex.org/W2034294006","https://openalex.org/W2152662039","https://openalex.org/W2000147971","https://openalex.org/W1558339915","https://openalex.org/W2806679586","https://openalex.org/W2066353259","https://openalex.org/W2041166599","https://openalex.org/W2734417830","https://openalex.org/W4385273546"],"abstract_inverted_index":{"The":[0,188,212],"problem":[1,120,189],"of":[2,85,104,151,185,190,236],"track-to-track":[3,133],"association":[4,117,134],"and":[5,24,78,118,135,166,243],"track":[6,22,56,116,191,195,240],"fusion":[7,16,60,110,119,136,192,241],"has":[8,18],"been":[9],"considered":[10],"in":[11,45,158],"the":[12,15,25,42,54,59,69,92,109,115,148,152,176,179,183,234,237],"literature":[13,181],"where":[14],"center":[17,61,111],"access":[19],"to":[20,41,58,113,164,182,232],"multiple":[21,249],"estimates":[23,57],"associated":[26],"estimation":[27,87,102,153,219],"error":[28,103,154,220],"covariances":[29],"from":[30,124,178],"local":[31,55,70,106,126,156],"sensors,":[32],"as":[33,35],"well":[34],"their":[36,86],"cross":[37,149],"covariances.":[38],"Due":[39],"primarily":[40],"communication":[43],"constraints":[44],"real":[46],"systems,":[47],"some":[48,67],"legacy":[49,125,194],"trackers":[50,72],"may":[51],"only":[52],"provide":[53],"without":[62],"any":[63,82],"covariance":[64,199],"information.":[65],"In":[66,89,128],"cases,":[68,91],"(sensor-level)":[71],"operate":[73],"with":[74,121,193,245],"fixed":[75],"filter":[76],"gain":[77],"do":[79],"not":[80],"have":[81],"self":[83],"assessment":[84],"errors.":[88],"other":[90],"network":[93],"conveys":[94],"a":[95,131,141,159,208,215,246],"coarsely":[96,216],"quantized":[97,217],"root":[98],"mean":[99],"square":[100],"(RMS)":[101],"each":[105],"tracker.":[107],"Thus":[108],"needs":[112],"solve":[114],"incomplete":[122],"data":[123,169],"trackers.":[127],"this":[129,205],"paper":[130],"robust":[132],"algorithm":[137,242],"is":[138,171,201,221,223,230],"described":[139],"for":[140,147],"distributed":[142,239],"tracking":[143,228],"system,":[144],"which":[145,197],"accounts":[146],"correlation":[150],"between":[155],"tracks":[157],"practical":[160],"way.":[161],"Its":[162],"applicability":[163],"real-time":[165],"different":[167],"rate":[168],"sources":[170,196],"also":[172,224],"discussed":[173],"by":[174,203],"generalizing":[175],"algorithms":[177],"existing":[180],"case":[184],"asynchronous":[186],"sensors.":[187],"lack":[198],"information":[200,206],"handled":[202],"approximating":[204],"through":[207],"modified":[209],"Lyapunov":[210],"equation.":[211],"situation":[213],"when":[214],"RMS":[218],"available":[222],"discussed.":[225],"A":[226],"two-sensor":[227],"example":[229],"used":[231],"illustrate":[233],"effectiveness":[235],"proposed":[238],"compared":[244],"centralized":[247],"interacting":[248],"model":[250],"estimator":[251]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2013,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}