{"id":"https://openalex.org/W4413679590","doi":"https://doi.org/10.23919/fusion65864.2025.11124171","title":"Real-World Validation of Drone Anomaly Detection Using Evidential Networks","display_name":"Real-World Validation of Drone Anomaly Detection Using Evidential Networks","publication_year":2025,"publication_date":"2025-07-07","ids":{"openalex":"https://openalex.org/W4413679590","doi":"https://doi.org/10.23919/fusion65864.2025.11124171"},"language":"en","primary_location":{"id":"doi:10.23919/fusion65864.2025.11124171","is_oa":false,"landing_page_url":"https://doi.org/10.23919/fusion65864.2025.11124171","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":"conference-paper","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/A5107011158","display_name":"Pierre Path\u00e9","orcid":null},"institutions":[{"id":"https://openalex.org/I4210127368","display_name":"Sopra (France)","ror":"https://ror.org/02mhjkx12","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210127368"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Pierre Pathe","raw_affiliation_strings":["CS a Sopra Steria company,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CS a Sopra Steria company,France","institution_ids":["https://openalex.org/I4210127368"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064125213","display_name":"Anne-Laure Jousselme","orcid":"https://orcid.org/0000-0002-4534-2667"},"institutions":[{"id":"https://openalex.org/I4210127368","display_name":"Sopra (France)","ror":"https://ror.org/02mhjkx12","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210127368"]},{"id":"https://openalex.org/I4210162703","display_name":"North Atlantic Treaty Organization","ror":"https://ror.org/05xagc088","country_code":"BE","type":"funder","lineage":["https://openalex.org/I4210162703"]}],"countries":["BE","FR"],"is_corresponding":false,"raw_author_name":"Anne-Laure Jousselme","raw_affiliation_strings":["CS a Sopra Steria company,France","North Atlantic Treaty Organization (NATO) Science and Technology Organization (STO) Centre for Maritime Research and Experimentation (CMRE) (Viale San Bartolomeo, 400\r\n19126 La Spezia - Italy)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CS a Sopra Steria company,France","institution_ids":["https://openalex.org/I4210127368"]},{"raw_affiliation_string":"North Atlantic Treaty Organization (NATO) Science and Technology Organization (STO) Centre for Maritime Research and Experimentation (CMRE) (Viale San Bartolomeo, 400\r\n19126 La Spezia - Italy)","institution_ids":["https://openalex.org/I4210162703"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080211134","display_name":"B. Pannetier","orcid":"https://orcid.org/0000-0003-0446-4227"},"institutions":[{"id":"https://openalex.org/I4210127368","display_name":"Sopra (France)","ror":"https://ror.org/02mhjkx12","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210127368"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Benjamin Pannetier","raw_affiliation_strings":["CS a Sopra Steria company,France","CS GROUP - Research Lab (France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CS a Sopra Steria company,France","institution_ids":["https://openalex.org/I4210127368"]},{"raw_affiliation_string":"CS GROUP - Research Lab (France)","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041903469","display_name":"Olivier Bartheye","orcid":"https://orcid.org/0000-0002-0294-4895"},"institutions":[{"id":"https://openalex.org/I430641","display_name":"United States Air Force Academy","ror":"https://ror.org/0055d0g64","country_code":"US","type":"government","lineage":["https://openalex.org/I1330347796","https://openalex.org/I4210089612","https://openalex.org/I4210102105","https://openalex.org/I430641"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Olivier Bartheye","raw_affiliation_strings":["Air and Space Force Academy Research Center (CREA),France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Air and Space Force Academy Research Center (CREA),France","institution_ids":["https://openalex.org/I430641"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9959999918937683,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9959999918937683,"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9485999941825867,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9448999762535095,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/drone","display_name":"Drone","score":0.8320136070251465},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6377081274986267},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5887905359268188},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4309212863445282},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.42010605335235596},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09406590461730957}],"concepts":[{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.8320136070251465},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6377081274986267},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5887905359268188},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4309212863445282},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.42010605335235596},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09406590461730957},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.23919/fusion65864.2025.11124171","is_oa":false,"landing_page_url":"https://doi.org/10.23919/fusion65864.2025.11124171","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"},{"id":"pmh:oai:HAL:hal-05372313v1","is_oa":false,"landing_page_url":"https://hal.science/hal-05372313","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"FUSION 2025 28th International Conference on Information Fusion, Jul 2025, Rio de Janeiro, France. pp.1-8, ⟨10.23919/FUSION65864.2025.11124171⟩","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259","https://openalex.org/W4300558037","https://openalex.org/W2667207928","https://openalex.org/W2912112202","https://openalex.org/W4377864969","https://openalex.org/W3120251014"],"abstract_inverted_index":{"In":[0],"urban":[1],"drone":[2,43],"surveillance,":[3],"conventional":[4],"anomaly":[5],"detection":[6,96],"methods":[7],"often":[8],"falter":[9],"amid":[10],"unstable":[11],"data":[12,87],"and":[13,56,98,104],"high":[14],"noise":[15,103],"levels.":[16],"We":[17],"propose":[18],"a":[19,23,52],"Sim2Real":[20],"approach":[21,91],"within":[22],"ValuationBased":[24],"System":[25],"framework":[26],"that":[27,89],"integrates":[28],"expert":[29],"knowledge":[30],"into":[31],"its":[32],"model":[33],"structure.":[34],"Our":[35],"method":[36],"involves":[37],"two":[38],"phases:":[39],"training":[40],"on":[41],"simulated":[42],"trajectories":[44],"to":[45,79],"learn":[46],"behavioral":[47],"dependencies":[48],"with":[49,84],"probabilities,":[50],"using":[51],"Dynamic":[53],"Bayesian":[54],"Network,":[55],"performing":[57],"inference":[58],"via":[59],"an":[60],"evidential":[61],"network":[62],"for":[63],"explicit":[64],"uncertainty":[65],"modeling.":[66],"The":[67],"incorporation":[68],"of":[69,76],"expert-driven":[70],"structural":[71],"insights":[72],"enhances":[73],"the":[74],"transfer":[75],"simulation-trained":[77],"parameters":[78],"real-world":[80],"conditions.":[81],"Real-world":[82],"tests":[83],"actual":[85],"flight":[86],"demonstrate":[88],"our":[90],"outperforms":[92],"traditional":[93],"techniques":[94],"in":[95],"accuracy":[97],"recall,":[99],"robustly":[100],"handling":[101],"sensor":[102],"incomplete":[105],"information.":[106]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}