{"id":"https://openalex.org/W4415398676","doi":"https://doi.org/10.1109/etfa65518.2025.11205775","title":"Applying Vision Transformers and Large Language Models to Anomaly Detection for Safer UAV Landings","display_name":"Applying Vision Transformers and Large Language Models to Anomaly Detection for Safer UAV Landings","publication_year":2025,"publication_date":"2025-09-09","ids":{"openalex":"https://openalex.org/W4415398676","doi":"https://doi.org/10.1109/etfa65518.2025.11205775"},"language":null,"primary_location":{"id":"doi:10.1109/etfa65518.2025.11205775","is_oa":false,"landing_page_url":"https://doi.org/10.1109/etfa65518.2025.11205775","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 30th International Conference on Emerging Technologies and Factory Automation (ETFA)","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/A5051463076","display_name":"Mohammad Reza Ranjbar Divkoti","orcid":"https://orcid.org/0000-0003-0330-2066"},"institutions":[{"id":"https://openalex.org/I4210166615","display_name":"INESC TEC","ror":"https://ror.org/05fa8ka61","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210125590","https://openalex.org/I4210166615"]},{"id":"https://openalex.org/I182534213","display_name":"Universidade do Porto","ror":"https://ror.org/043pwc612","country_code":"PT","type":"education","lineage":["https://openalex.org/I182534213"]}],"countries":["PT"],"is_corresponding":true,"raw_author_name":"Mohammad Reza Ranjbar Divkoti","raw_affiliation_strings":["University of Porto,SYSTEC-ARISE Research Center for Systems and Technologies, Faculty of Engineering,Porto,Portugal,4200-465"],"affiliations":[{"raw_affiliation_string":"University of Porto,SYSTEC-ARISE Research Center for Systems and Technologies, Faculty of Engineering,Porto,Portugal,4200-465","institution_ids":["https://openalex.org/I4210166615","https://openalex.org/I182534213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069883451","display_name":"A. Pedro Aguiar","orcid":"https://orcid.org/0000-0001-7105-0505"},"institutions":[{"id":"https://openalex.org/I4210166615","display_name":"INESC TEC","ror":"https://ror.org/05fa8ka61","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210125590","https://openalex.org/I4210166615"]},{"id":"https://openalex.org/I182534213","display_name":"Universidade do Porto","ror":"https://ror.org/043pwc612","country_code":"PT","type":"education","lineage":["https://openalex.org/I182534213"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"A. Pedro Aguiar","raw_affiliation_strings":["University of Porto,SYSTEC-ARISE Research Center for Systems and Technologies, Faculty of Engineering,Porto,Portugal,4200-465"],"affiliations":[{"raw_affiliation_string":"University of Porto,SYSTEC-ARISE Research Center for Systems and Technologies, Faculty of Engineering,Porto,Portugal,4200-465","institution_ids":["https://openalex.org/I4210166615","https://openalex.org/I182534213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5051463076"],"corresponding_institution_ids":["https://openalex.org/I182534213","https://openalex.org/I4210166615"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16547402,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.996999979019165,"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":0.996999979019165,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9545000195503235,"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"}},{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9408000111579895,"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/safer","display_name":"SAFER","score":0.7242000102996826},{"id":"https://openalex.org/keywords/takeoff","display_name":"Takeoff","score":0.6212999820709229},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6037999987602234},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4146000146865845},{"id":"https://openalex.org/keywords/drone","display_name":"Drone","score":0.40790000557899475},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4020000100135803},{"id":"https://openalex.org/keywords/fixed-wing","display_name":"Fixed wing","score":0.35519999265670776}],"concepts":[{"id":"https://openalex.org/C2776654903","wikidata":"https://www.wikidata.org/wiki/Q2601463","display_name":"SAFER","level":2,"score":0.7242000102996826},{"id":"https://openalex.org/C2777717826","wikidata":"https://www.wikidata.org/wiki/Q854248","display_name":"Takeoff","level":2,"score":0.6212999820709229},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6037999987602234},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49160000681877136},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.46470001339912415},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4372999966144562},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4146000146865845},{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.40790000557899475},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.4077000021934509},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4020000100135803},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39100000262260437},{"id":"https://openalex.org/C3018522811","wikidata":"https://www.wikidata.org/wiki/Q2875704","display_name":"Fixed wing","level":3,"score":0.35519999265670776},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.35089999437332153},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.34540000557899475},{"id":"https://openalex.org/C2780631144","wikidata":"https://www.wikidata.org/wiki/Q20046585","display_name":"Takeoff and landing","level":2,"score":0.33390000462532043},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3163999915122986},{"id":"https://openalex.org/C2989181227","wikidata":"https://www.wikidata.org/wiki/Q640853","display_name":"Flight safety","level":2,"score":0.289900004863739},{"id":"https://openalex.org/C132835097","wikidata":"https://www.wikidata.org/wiki/Q7663745","display_name":"System safety","level":2,"score":0.26809999346733093},{"id":"https://openalex.org/C18020424","wikidata":"https://www.wikidata.org/wiki/Q220858","display_name":"Autopilot","level":2,"score":0.2554999887943268},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.25380000472068787}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/etfa65518.2025.11205775","is_oa":false,"landing_page_url":"https://doi.org/10.1109/etfa65518.2025.11205775","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 30th International Conference on Emerging Technologies and Factory Automation (ETFA)","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":[],"abstract_inverted_index":{"Ensuring":[0],"Unmanned":[1],"Aerial":[2],"Vehicle":[3],"(UAV)":[4],"safety":[5,65,111],"during":[6,94],"takeoff":[7],"and":[8,20,35,62,69,79,91],"landing":[9,43,54],"in":[10],"dynamic":[11],"environments":[12],"remains":[13],"challenging":[14],"due":[15],"to":[16,40,59],"possible":[17],"sensor":[18],"failures":[19],"undetected":[21],"obstacles.":[22],"This":[23],"paper":[24],"introduces":[25],"an":[26],"external":[27],"anomaly":[28],"detection":[29],"framework":[30],"using":[31,97],"Vision":[32],"Transformers":[33],"(ViTs)":[34],"Large":[36],"Language":[37],"Models":[38],"(LLMs)":[39],"monitor":[41],"UAV":[42,68,114],"zones":[44],"via":[45],"fixed":[46],"cameras.":[47],"Anomalies,":[48],"such":[49],"as":[50,108],"occupied":[51],"or":[52],"unsafe":[53],"areas,":[55],"trigger":[56],"emergency":[57],"responses":[58],"prevent":[60],"collisions":[61],"ensure":[63],"the":[64,67,105],"of":[66],"its":[70],"surroundings.":[71],"The":[72],"system":[73],"employs":[74],"a":[75,80,85,109],"ViT-based":[76],"feature":[77],"extractor":[78],"binary":[81],"classifier,":[82],"enhanced":[83],"through":[84],"multimodal":[86],"Teacher-Student":[87],"architecture\u2014leveraging":[88],"both":[89],"visual":[90],"textual":[92],"inputs":[93],"training":[95],"but":[96],"only":[98],"images":[99],"at":[100],"inference.":[101],"Simulation":[102],"results":[103],"demonstrate":[104],"framework\u2019s":[106],"effectiveness":[107],"redundant":[110],"mechanism":[112],"for":[113],"operations.":[115]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-22T00:00:00"}