{"id":1643,"date":"2026-10-10T15:22:39","date_gmt":"2026-10-10T15:22:39","guid":{"rendered":"https:\/\/grupo.us.es\/gapsc\/?page_id=1643"},"modified":"2026-10-10T15:28:28","modified_gmt":"2026-10-10T15:28:28","slug":"flawless-fast-detection-of-remotely-piloted-aircrafts-with-limited-resources","status":"publish","type":"page","link":"https:\/\/grupo.us.es\/gapsc\/flawless-fast-detection-of-remotely-piloted-aircrafts-with-limited-resources\/","title":{"rendered":"FLAWLESS: Fast Detection of Remotely Piloted Aircrafts with Limited Resources"},"content":{"rendered":"<p><strong>FLAWLESS<\/strong> (<em>Detecci\u00f3n r\u00e1pida de aeronaves no tripuladas con recursos limitados<\/em>) is an applied research project led by the Signal Processing and Communications Group (<strong>GAPSC<\/strong>) at the <strong>University of Sevilla<\/strong>. The project focuses on applying digital signal processing and artificial intelligence to design low-cost, portable, passive drone detection systems.<\/p>\n<p>Co-funded by the European Union and the Junta de Andaluc\u00eda, FLAWLESS addresses the growing need for early threat detection against unauthorized or negligent drone flights in civilian areas, critical infrastructure, public events, and urban environments.<\/p>\n<h4>Key Objectives &amp; Innovation<\/h4>\n<p>Unlike conventional counter-UAS systems\u2014which are often expensive, fixed, or rely on active radar emissions that face strict urban regulatory limits\u2014FLAWLESS develops passive, low-complexity detection technologies that operate without emitting radio waves.<\/p>\n<p><strong>The project focuses on four key research pillars:<\/strong><\/p>\n<ul>\n<li><strong>Dataset Curation &amp; Expansion:<\/strong> Collecting and refining open RF and visual datasets using ground-based sensors and drone-mounted platforms (SDRs, RFSoCs, and low-cost cameras) to capture real-world flight emissions.<\/li>\n<li><strong>Radio Frequency (RF) Signal Analysis:<\/strong> Designing low-complexity feature extraction algorithms and Machine Learning (ML) \/ Deep Learning (DL) architectures to rapidly detect drone-to-controller communication signals in congested spectrum environments.<\/li>\n<li><strong>Computer Vision &amp; Image Processing:<\/strong> Implementing optimized object detection models (such as light YOLO, SSD, and Faster\/Mask R-CNN variants) tailored for resource-constrained embedded systems.<\/li>\n<li><strong>Multi-Sensor Fusion:<\/strong> Combining RF detection confidence scores with visual tracking through decision\/feature fusion algorithms to achieve robust, high-accuracy early warning alarms[.<\/li>\n<\/ul>\n<hr>\n<h4>Project Details<\/h4>\n<ul>\n<li><strong>Lead Institution:<\/strong> University of Seville (US)<\/li>\n<li><strong>Principal Investigator (US):<\/strong> Prof. Rafael Boloix Tortosa<\/li>\n<li><strong>Co-Principal Investigator (US):<\/strong> Prof. Juan Jos\u00e9 Murillo Fuentes<\/li>\n<li><strong>Research Team Members:<\/strong> Prof. Jes\u00fas Iv\u00e1n Maza Alca\u00f1iz, Prof. Eva Arias de Reyna Dom\u00ednguez, Prof. Juan Antonio Becerra Gonz\u00e1lez<\/li>\n<li><strong>Project Duration:<\/strong> 36 Months<\/li>\n<li><strong>Funding Program:<\/strong> Junta de Andaluc\u00eda \/ European Regional Development Fund (ERDF \/ Uni\u00f3n Europea)<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>FLAWLESS (Detecci\u00f3n r\u00e1pida de aeronaves no tripuladas con recursos limitados) is an applied research project led by the Signal Processing&hellip;<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1643","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/grupo.us.es\/gapsc\/wp-json\/wp\/v2\/pages\/1643","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/grupo.us.es\/gapsc\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/grupo.us.es\/gapsc\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/grupo.us.es\/gapsc\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/grupo.us.es\/gapsc\/wp-json\/wp\/v2\/comments?post=1643"}],"version-history":[{"count":3,"href":"https:\/\/grupo.us.es\/gapsc\/wp-json\/wp\/v2\/pages\/1643\/revisions"}],"predecessor-version":[{"id":1648,"href":"https:\/\/grupo.us.es\/gapsc\/wp-json\/wp\/v2\/pages\/1643\/revisions\/1648"}],"wp:attachment":[{"href":"https:\/\/grupo.us.es\/gapsc\/wp-json\/wp\/v2\/media?parent=1643"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}