{"id":"https://openalex.org/W4413394719","doi":"https://doi.org/10.23919/acc63710.2025.11107429","title":"Uncertainty-Aware Guidance for Target Tracking subject to Intermittent Measurements using Motion Model Learning","display_name":"Uncertainty-Aware Guidance for Target Tracking subject to Intermittent Measurements using Motion Model Learning","publication_year":2025,"publication_date":"2025-07-08","ids":{"openalex":"https://openalex.org/W4413394719","doi":"https://doi.org/10.23919/acc63710.2025.11107429"},"language":"en","primary_location":{"id":"doi:10.23919/acc63710.2025.11107429","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc63710.2025.11107429","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 American Control Conference (ACC)","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/A5021296359","display_name":"Andres Pulido","orcid":"https://orcid.org/0000-0001-9745-2449"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Andres Pulido","raw_affiliation_strings":["University of Florida,Department of Mechanical and Aerospace Engineering,Gainesville,FL,32611"],"affiliations":[{"raw_affiliation_string":"University of Florida,Department of Mechanical and Aerospace Engineering,Gainesville,FL,32611","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038890514","display_name":"Kyle Volle","orcid":"https://orcid.org/0000-0001-6087-1594"},"institutions":[{"id":"https://openalex.org/I2801840469","display_name":"Torch Technologies (United States)","ror":"https://ror.org/00nrhr905","country_code":"US","type":"company","lineage":["https://openalex.org/I2801840469"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kyle Volle","raw_affiliation_strings":["University of Florida,Torch Technologies,Shalimar,FL,32579"],"affiliations":[{"raw_affiliation_string":"University of Florida,Torch Technologies,Shalimar,FL,32579","institution_ids":["https://openalex.org/I2801840469"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111123717","display_name":"Kristy Waters","orcid":null},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kristy Waters","raw_affiliation_strings":["University of Florida,Department of Mechanical and Aerospace Engineering,Gainesville,FL,32611"],"affiliations":[{"raw_affiliation_string":"University of Florida,Department of Mechanical and Aerospace Engineering,Gainesville,FL,32611","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017779570","display_name":"Zachary I. Bell","orcid":"https://orcid.org/0000-0002-9574-8104"},"institutions":[{"id":"https://openalex.org/I2801461044","display_name":"Eglin Air Force Base","ror":"https://ror.org/002c7zk35","country_code":"US","type":"government","lineage":["https://openalex.org/I1330347796","https://openalex.org/I2801461044","https://openalex.org/I4210089612","https://openalex.org/I4210102105"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zachary I. Bell","raw_affiliation_strings":["Air Force Research Lab,Eglin AFB,FL,32542"],"affiliations":[{"raw_affiliation_string":"Air Force Research Lab,Eglin AFB,FL,32542","institution_ids":["https://openalex.org/I2801461044"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081984508","display_name":"Prashant Ganesh","orcid":"https://orcid.org/0000-0002-0744-5614"},"institutions":[{"id":"https://openalex.org/I4210149348","display_name":"EpiSys Science (United States)","ror":"https://ror.org/04k8txf58","country_code":"US","type":"company","lineage":["https://openalex.org/I4210149348"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Prashant Ganesh","raw_affiliation_strings":["University of Florida,EpiSci,Poway,CA,92064"],"affiliations":[{"raw_affiliation_string":"University of Florida,EpiSci,Poway,CA,92064","institution_ids":["https://openalex.org/I4210149348"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101863770","display_name":"Jane Shin","orcid":"https://orcid.org/0000-0002-5755-8385"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jane Shin","raw_affiliation_strings":["University of Florida,Department of Mechanical and Aerospace Engineering,Gainesville,FL,32611"],"affiliations":[{"raw_affiliation_string":"University of Florida,Department of Mechanical and Aerospace Engineering,Gainesville,FL,32611","institution_ids":["https://openalex.org/I33213144"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5021296359"],"corresponding_institution_ids":["https://openalex.org/I33213144"],"apc_list":null,"apc_paid":null,"fwci":5.7199,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.9603494,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"3140","last_page":"3145"},"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":0.940500020980835,"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":0.940500020980835,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6837326288223267},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6567549705505371},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.594169557094574},{"id":"https://openalex.org/keywords/subject","display_name":"Subject (documents)","score":0.5402969121932983},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.506676971912384},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4508601427078247}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6837326288223267},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6567549705505371},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.594169557094574},{"id":"https://openalex.org/C2777855551","wikidata":"https://www.wikidata.org/wiki/Q12310021","display_name":"Subject (documents)","level":2,"score":0.5402969121932983},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.506676971912384},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4508601427078247},{"id":"https://openalex.org/C161191863","wikidata":"https://www.wikidata.org/wiki/Q199655","display_name":"Library science","level":1,"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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/acc63710.2025.11107429","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc63710.2025.11107429","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 American Control Conference (ACC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320338294","display_name":"Air Force Research Laboratory","ror":"https://ror.org/02e2egq70"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1684737195","https://openalex.org/W2049543502","https://openalex.org/W2067300766","https://openalex.org/W2171104791","https://openalex.org/W2336416123","https://openalex.org/W2737793510","https://openalex.org/W2804792778","https://openalex.org/W2951429728","https://openalex.org/W3015684463","https://openalex.org/W3118251074","https://openalex.org/W4285049330","https://openalex.org/W4293147463","https://openalex.org/W4294690605","https://openalex.org/W4407416080"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"This":[0,54],"paper":[1],"presents":[2],"a":[3,43,64,88,97,135],"novel":[4],"guidance":[5,84,146,152],"law":[6,85,147],"for":[7,67,90],"target":[8,13,37,51,68,140],"tracking":[9],"applications":[10],"where":[11],"the":[12,36,60,82,91,115,119,125,144],"motion":[14,38,56],"model":[15,39,57],"is":[16,40,79,109],"unknown":[17,25],"and":[18,28,47,71,129,138],"sensor":[19],"measurements":[20],"are":[21,132],"intermittent":[22],"due":[23],"to":[24,86,94,96,124,141],"environmental":[26],"conditions":[27],"low":[29],"measurement":[30],"update":[31],"rate.":[32],"In":[33],"this":[34],"work,":[35],"represented":[41],"by":[42,49,113],"transformer":[44,55],"neural":[45],"network":[46],"trained":[48],"previous":[50],"position":[52,98],"measurements.":[53],"serves":[58],"as":[59],"prediction":[61],"step":[62],"in":[63,81,111],"particle":[65,75,121],"filter":[66,76],"state":[69],"estimation":[70,77],"uncertainty":[72,78],"quantification.":[73],"The":[74,105],"utilized":[80],"information-driven":[83],"compute":[87],"path":[89],"mobile":[92],"agent":[93,137],"travel":[95],"with":[99,134],"maximum":[100],"expected":[101],"entropy":[102],"reduction":[103],"(EER).":[104],"computation":[106],"of":[107],"EER":[108],"performed":[110,133],"real-time":[112],"approximating":[114],"information":[116],"gain":[117],"from":[118],"predicted":[120],"distributions":[122],"relative":[123],"current":[126],"distribution.":[127],"Simulation":[128],"hardware":[130],"experiments":[131],"quadcopter":[136],"TurtleBot":[139],"demonstrate":[142],"that":[143],"presented":[145],"outperforms":[148],"two":[149],"other":[150],"baseline":[151],"methods.":[153]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}