{"id":"https://openalex.org/W4312505526","doi":"https://doi.org/10.1109/taes.2022.3229650","title":"Order Statistic Estimation With Application to Tracking in Autonomous Driving","display_name":"Order Statistic Estimation With Application to Tracking in Autonomous Driving","publication_year":2022,"publication_date":"2022-12-16","ids":{"openalex":"https://openalex.org/W4312505526","doi":"https://doi.org/10.1109/taes.2022.3229650"},"language":"en","primary_location":{"id":"doi:10.1109/taes.2022.3229650","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2022.3229650","pdf_url":null,"source":{"id":"https://openalex.org/S193624734","display_name":"IEEE Transactions on Aerospace and Electronic Systems","issn_l":"0018-9251","issn":["0018-9251","1557-9603","2371-9877"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Aerospace and Electronic Systems","raw_type":"journal-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/A5077958595","display_name":"Kaipei Yang","orcid":"https://orcid.org/0000-0001-6739-8541"},"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":true,"raw_author_name":"Kaipei Yang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT, USA","institution_ids":["https://openalex.org/I140172145"]}]},{"author_position":"middle","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 and Computer Engineering, University of Connecticut, Storrs, CT, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT, USA","institution_ids":["https://openalex.org/I140172145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019392883","display_name":"Peter Willett","orcid":"https://orcid.org/0000-0001-8443-5586"},"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":"Peter Willett","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT, USA","institution_ids":["https://openalex.org/I140172145"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052507743","display_name":"Shawn Hunt","orcid":"https://orcid.org/0000-0002-9866-4408"},"institutions":[{"id":"https://openalex.org/I67530263","display_name":"Denso (United States)","ror":"https://ror.org/02w314k38","country_code":"US","type":"company","lineage":["https://openalex.org/I4210132650","https://openalex.org/I67530263"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shawn Hunt","raw_affiliation_strings":["DENSO International America Inc., Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"DENSO International America Inc., Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I67530263"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5077958595"],"corresponding_institution_ids":["https://openalex.org/I140172145"],"apc_list":null,"apc_paid":null,"fwci":0.1326,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.54776447,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"59","issue":"4","first_page":"3531","last_page":"3538"},"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":0.9988999962806702,"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":0.9988999962806702,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9761000275611877,"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/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9745000004768372,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.8633579015731812},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6900299787521362},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.5964510440826416},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.5958901643753052},{"id":"https://openalex.org/keywords/statistic","display_name":"Statistic","score":0.529081404209137},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4819871783256531},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.4721814692020416},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.465236097574234},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.4590110182762146},{"id":"https://openalex.org/keywords/sufficient-statistic","display_name":"Sufficient statistic","score":0.4524182677268982},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4507378339767456},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.4478854537010193},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.447121262550354},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.42671069502830505},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3654790222644806},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2650187611579895},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.09747803211212158}],"concepts":[{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.8633579015731812},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6900299787521362},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.5964510440826416},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.5958901643753052},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.529081404209137},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4819871783256531},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.4721814692020416},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.465236097574234},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.4590110182762146},{"id":"https://openalex.org/C178197554","wikidata":"https://www.wikidata.org/wiki/Q1099110","display_name":"Sufficient statistic","level":2,"score":0.4524182677268982},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4507378339767456},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.4478854537010193},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.447121262550354},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.42671069502830505},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3654790222644806},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2650187611579895},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.09747803211212158},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/taes.2022.3229650","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2022.3229650","pdf_url":null,"source":{"id":"https://openalex.org/S193624734","display_name":"IEEE Transactions on Aerospace and Electronic Systems","issn_l":"0018-9251","issn":["0018-9251","1557-9603","2371-9877"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Aerospace and Electronic Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1531532259","https://openalex.org/W2000460081","https://openalex.org/W2003550515","https://openalex.org/W2051610568","https://openalex.org/W2117215586","https://openalex.org/W2129932898","https://openalex.org/W2563267921","https://openalex.org/W2600383743","https://openalex.org/W2774499349","https://openalex.org/W2963120444","https://openalex.org/W2964064111","https://openalex.org/W2981482273","https://openalex.org/W3047874225","https://openalex.org/W3081041225","https://openalex.org/W3102100346","https://openalex.org/W3114371366","https://openalex.org/W3129901004","https://openalex.org/W3132833448","https://openalex.org/W3164731060","https://openalex.org/W3167095230","https://openalex.org/W4287903805","https://openalex.org/W4312707458","https://openalex.org/W6704306196","https://openalex.org/W6735443497","https://openalex.org/W6772381950","https://openalex.org/W6781756692"],"related_works":["https://openalex.org/W4237171675","https://openalex.org/W3036286480","https://openalex.org/W3192357901","https://openalex.org/W2387360586","https://openalex.org/W4287027631","https://openalex.org/W2952736415","https://openalex.org/W3209723314","https://openalex.org/W3205398323","https://openalex.org/W2883297582","https://openalex.org/W4390524233"],"abstract_inverted_index":{"In":[0],"this":[1],"work,":[2],"we":[3],"study":[4],"the":[5,44,51,94,99,113,120,126,129,140,143,153,158,161],"order":[6],"statistic":[7],"estimation":[8,20,118],"and":[9,29,40,54,60,66,119],"provide":[10],"a":[11,71,82,87],"simple":[12],"solution":[13],"to":[14,79,138],"lidar":[15],"bounding":[16],"box":[17],"(BB)":[18],"centroid":[19,28,121],"for":[21,57,70,112,146],"an":[22],"autonomous":[23,147],"vehicle.":[24],"The":[25,64],"estimated":[26],"BB":[27],"its":[30],"uncertainty":[31],"will":[32],"be":[33],"used":[34],"in":[35],"object":[36],"tracking":[37],"as":[38],"measurement":[39,41],"noise":[42],"variance;":[43],"latter":[45],"is":[46,55],"commonly":[47],"not":[48],"available":[49],"from":[50],"sensor":[52,68],"manufacturer,":[53],"needed":[56],"data":[58,134],"association":[59],"target":[61],"state":[62],"estimation.":[63],"detected":[65],"clustered":[67],"observations":[69],"single":[72],"target,":[73],"on":[74],"one":[75],"axis,":[76],"are":[77,106,110,123,135],"assumed":[78],"have":[80],"1)":[81],"triangular":[83],"density":[84],"or":[85],"2)":[86],"uniform":[88],"(rectangular)":[89],"density.":[90],"These":[91],"densities":[92],"constitute":[93],"likelihood":[95],"function":[96],"(LF)":[97],"of":[98,128,142,160],"corresponding":[100],"support":[101,115],"(the":[102],"interval":[103],"where":[104],"they":[105],"nonzero)":[107],"boundaries.":[108,130],"Estimators":[109],"proposed":[111,144,162],"LF":[114],"boundary":[116],"parameter":[117],"coordinates":[122],"given":[124],"by":[125],"centers":[127],"Experiments":[131],"using":[132],"real":[133],"carried":[136],"out":[137],"show":[139],"performance":[141],"methods":[145],"driving":[148],"applications.":[149],"A":[150],"comparison":[151],"with":[152],"max\u2013min":[154],"average":[155],"approach":[156],"shows":[157],"superiority":[159],"algorithm.":[163]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}