{"id":"https://openalex.org/W4413679602","doi":"https://doi.org/10.23919/fusion65864.2025.11123969","title":"Stone Soup Multi-Target Tracking Feature Extraction for Autonomous Search and Track in Deep Reinforcement Learning Environment","display_name":"Stone Soup Multi-Target Tracking Feature Extraction for Autonomous Search and Track in Deep Reinforcement Learning Environment","publication_year":2025,"publication_date":"2025-07-07","ids":{"openalex":"https://openalex.org/W4413679602","doi":"https://doi.org/10.23919/fusion65864.2025.11123969"},"language":"en","primary_location":{"id":"doi:10.23919/fusion65864.2025.11123969","is_oa":false,"landing_page_url":"https://doi.org/10.23919/fusion65864.2025.11123969","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 28th International Conference on Information Fusion (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/A5092926988","display_name":"Jan\u2010Hendrik Ewers","orcid":"https://orcid.org/0000-0002-8498-1410"},"institutions":[{"id":"https://openalex.org/I7882870","display_name":"University of Glasgow","ror":"https://ror.org/00vtgdb53","country_code":"GB","type":"education","lineage":["https://openalex.org/I7882870"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Jan-Hendrik Ewers","raw_affiliation_strings":["Autonomous Systems and Connectivity, University of Glasgow,Glasgow,UK"],"affiliations":[{"raw_affiliation_string":"Autonomous Systems and Connectivity, University of Glasgow,Glasgow,UK","institution_ids":["https://openalex.org/I7882870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058085150","display_name":"Joe Gibbs","orcid":null},"institutions":[{"id":"https://openalex.org/I7882870","display_name":"University of Glasgow","ror":"https://ror.org/00vtgdb53","country_code":"GB","type":"education","lineage":["https://openalex.org/I7882870"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Joe Gibbs","raw_affiliation_strings":["Autonomous Systems and Connectivity, University of Glasgow,Glasgow,UK"],"affiliations":[{"raw_affiliation_string":"Autonomous Systems and Connectivity, University of Glasgow,Glasgow,UK","institution_ids":["https://openalex.org/I7882870"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079072435","display_name":"David Anderson","orcid":"https://orcid.org/0000-0001-6301-9532"},"institutions":[{"id":"https://openalex.org/I7882870","display_name":"University of Glasgow","ror":"https://ror.org/00vtgdb53","country_code":"GB","type":"education","lineage":["https://openalex.org/I7882870"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"David Anderson","raw_affiliation_strings":["Autonomous Systems and Connectivity, University of Glasgow,Glasgow,UK"],"affiliations":[{"raw_affiliation_string":"Autonomous Systems and Connectivity, University of Glasgow,Glasgow,UK","institution_ids":["https://openalex.org/I7882870"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5092926988"],"corresponding_institution_ids":["https://openalex.org/I7882870"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27133682,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.7286999821662903,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.7286999821662903,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.7128000259399414,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.6407999992370605,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/track","display_name":"Track (disk drive)","score":0.781448245048523},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7612444758415222},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7500537037849426},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7364522218704224},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6918452978134155},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6852110624313354},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5848895311355591},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4627174735069275},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3560337424278259}],"concepts":[{"id":"https://openalex.org/C89992363","wikidata":"https://www.wikidata.org/wiki/Q5961558","display_name":"Track (disk drive)","level":2,"score":0.781448245048523},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7612444758415222},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7500537037849426},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7364522218704224},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6918452978134155},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6852110624313354},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5848895311355591},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4627174735069275},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3560337424278259},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/fusion65864.2025.11123969","is_oa":false,"landing_page_url":"https://doi.org/10.23919/fusion65864.2025.11123969","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 28th International Conference on Information Fusion (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":0,"referenced_works":[],"related_works":["https://openalex.org/W4306904969","https://openalex.org/W2789518417","https://openalex.org/W4213217485","https://openalex.org/W2138720691","https://openalex.org/W4362501864","https://openalex.org/W4380318855","https://openalex.org/W3084456289","https://openalex.org/W2024136090","https://openalex.org/W4391331176","https://openalex.org/W2031695474"],"abstract_inverted_index":{"Management":[0],"of":[1,22,128],"sensing":[2],"resources":[3],"is":[4,94,110,120],"a":[5,56,69,77,91,113,126,147],"non-trivial":[6],"problem":[7],"for":[8,50,76,84,102],"future":[9,14],"military":[10],"air":[11],"assets":[12],"with":[13],"systems":[15],"deploying":[16],"heterogeneous":[17],"sensors":[18],"to":[19,47,72,122],"generate":[20,48],"information":[21,49],"the":[23,51,63,151,169],"battlespace.":[24],"Machine":[25],"learning":[26,31,59],"techniques":[27],"including":[28],"deep":[29,57],"reinforcement":[30,58],"(DRL)":[32],"have":[33],"been":[34],"identified":[35],"as":[36,68],"promising":[37],"approaches,":[38],"but":[39],"require":[40],"high-fidelity":[41],"training":[42,60,104],"environments":[43],"and":[44,98,124,153,163,171],"feature":[45,70],"extractors":[46],"agent.":[52],"This":[53],"paper":[54],"presents":[55],"approach,":[61],"utilising":[62,130],"Stone":[64,86,135,172],"Soup":[65,87,136,173],"tracking":[66],"framework":[67,83],"extractor":[71],"train":[73],"an":[74,118],"agent":[75,119],"sensor":[78,114,161],"management":[79,115],"task.":[80],"A":[81,138],"general":[82],"embedding":[85],"tracker":[88,100],"components":[89],"within":[90,168],"Gymnasium":[92,170],"environment":[93],"presented,":[95],"enabling":[96],"fast":[97],"configurable":[99],"deployments":[101],"RL":[103,156],"using":[105,141],"Stable":[106],"Baselines3.":[107],"The":[108],"approach":[109,152],"demonstrated":[111],"in":[112,146],"task":[116],"where":[117],"trained":[121,167],"search":[123,162],"track":[125,131,164],"region":[127],"airspace":[129],"lists":[132],"generated":[133],"from":[134],"trackers.":[137],"sample":[139],"implementation":[140],"three":[142],"neural":[143],"network":[144],"architectures":[145],"search-and-track":[148],"scenario":[149],"demonstrates":[150],"shows":[154],"that":[155],"agents":[157],"can":[158],"outperform":[159],"simple":[160],"policies":[165],"when":[166],"environment.":[174]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
