Advanced hoListic Adverse Drone Detection, Identification & Neutralization

Technologies for prevention, investigation, and mitigation
in the context of fight against crime and terrorism

Scientific Publications

ALADDIN partners have participated in several conferences across the world , such as 2019 IEEE International Conference on Advanced Video and Signal-based Surveillance & 12th International Conference on Computer Vision Systems (ICVS), etc. presenting their papers. In this framework, numerous papers have been published as parts of books, or even in journals or within the context of each conference separately.

Journals

Papers published in scientific journals are available here:

NoCitationLinkOA Link
1Stamatios Samaras, Eleni Diamantidou, Dimitrios Ataloglou, Nikos Sakellariou, Anastasios Vafeiadis, Vasilis Magoulianitis, Antonios Lalas, Anastasios Dimou, Dimitrios Zarpalas, Konstantinos Votis, Petros Daras, Dimitrios Tzovaras (2019) “Deep Learning on Multi Sensor Data for Counter UAV Applications – A Systematic Review” – MDPI Sensors Article

Conferences

Papers published in conference proceedings are available here:

NoCitationLinkOA Link
1Vasileios Magoulianitis, Dimitrios Ataloglou, Anastasios Dimou, Dimitrios Zarpalas, Petros Daras “Does Deep Super-Resolution Enhance UAV Detection?”,
16th IEEE International Conference on Advanced Video and Signal-based Surveillance (AVSS), 2019
2A. Coluccia, A. Fascista, A. Schumann, L. Sommer, M. Ghenescu, T. Piatrik, G. De Cubber, M. Nalamati, A. Kapoor, M. Saqib, N. Sharma, M. Blumenstein, V. Magoulianitis, D. Ataloglou, A. Dimou, D. Zarpalas, P. Daras, C. Craye, S. Ardjoune, D. De la Iglesia, M. Mández, R. Dosil, I. González “Drone-vs-Bird Detection Challenge at IEEE AVSS2019”,
16th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), pp. 1-7, 2019
12th ICVS – UAV4S

Workshop on: Vision-Enabled UAV and Counter-UAV Technologies for Surveillance and Security of Critical Infrastructures – Table of Contents
W3.2Classification of Drones with a Surveillance Radar Signal – IDS
W3.3Minimal-Time Trajectories for Interception of Malicious Drones in Constrained Environments – FADA
W3.4Stamatios Samaras, Vasileios Magoulianitis, Anastasios Dimou, Dimitrios Zarpalas, Petros Daras “UAV Classification With Deep Learning Using Surveillance Radar Data”,
12th International Conference on Computer Vision Systems (ICVS 2019), 2019.
W3.5UAV Localization Using Panoramic Thermal Cameras – HGH
W3.6Multimodal Deep Learning Framework for Enhanced Accuracy of UAV Detection – CERTH