Results 21 to 30 of about 8,695 (248)

Context-Aware Drone Detection

open access: yesProceedings of the 8th ACM on Cyber-Physical System Security Workshop, 2022
Current commercial and research solutions for drones' detection do not make any assumption on the scenario deployment, as well as the unique mobility pattern associated with the drone's trajectory. Indeed, drones' trajectory is different from the one of people moving at the ground level, being independent of roads layout and obstacles on their path ...
Gabriele Oligeri, Savio Sciancalepore
openaire   +2 more sources

Evaluating the Efficacy and Optimal Deployment of Thermal Infrared and True-Colour Imaging When Using Drones for Monitoring Kangaroos

open access: yesDrones, 2020
Advances in drone technology have given rise to much interest in the use of drone-mounted thermal imagery in wildlife monitoring. This research tested the feasibility of monitoring large mammals in an urban environment and investigated the influence of ...
Elizabeth A. Brunton   +2 more
doaj   +1 more source

Obstacle Detection for BVLOS Drones

open access: yesCoRR, 2021
With the introduction of new regulations in the European Union, the future of Beyond Visual Line Of Sight (BVLOS) drones is set to bloom. This led to the creation of the theBEAST project, which aims to create an autonomous security drone, with focus on those regulations and on safety.
Jan Moros Esteban   +2 more
openaire   +2 more sources

Drone Presence Detection by the Drone’s RF Communication

open access: yesJournal of Physics: Conference Series, 2021
Abstract Unmanned aerial vehicles (UAVs), also known as drones, are expected to play an essential role in future life. However, if drone technology is misused, it will bring unpredictable harm. For example, the use of drones to engage in illegal, criminal, and terrorist activities has brought new challenges to confidentiality, security ...
Huan Lv, Fang Liu, NaiChang Yuan
openaire   +1 more source

Drone Detection and Surveillance

open access: yesInternational Journal For Multidisciplinary Research, 2023
This paper presents a deep learning-based solution for detecting and identifying drones to address security concerns. By leveraging A9G-based GPS tracker modules, the system achieves real-time tracking and differentiation between authorized and unauthorized drones.
K S Bhavishya -   +3 more
openaire   +1 more source

A Drone Routing Problem for Ship Emission Detection Considering Simultaneous Movements

open access: yesAtmosphere, 2023
Offshore ships’ emission has a tremendous environmental and healthy impact on the port cities and citizens, even though the Emission Control Area (ECA) policy imposes legislative constraints on the ships.
Zhi-Hua Hu, Tian-Ci Liu, Xi-Dan Tian
doaj   +1 more source

CNN-Based UAV Detection and Classification Using Sensor Fusion

open access: yesIEEE Access, 2023
This paper proposes a detection and classification method for unmanned aerial vehicles, commonly called drones, using sensor fusion schemes. Datasets for drone detection and classification are collected by field measurements of actual drones using the ...
Hunje Lee   +6 more
doaj   +1 more source

Using deep networks for drone detection [PDF]

open access: yes2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2017
To appear in International Workshop on Small-Drone Surveillance, Detection and Counteraction Techniques organised within AVSS ...
Cemal Aker, Sinan Kalkan
openaire   +2 more sources

Landmine Detection with Drones

open access: yesLand Forces Academy Review, 2022
Abstract The opposing forces often laid antitank or antipersonnel minefields during wars and other armed conflicts. However, countries those ratified the Ottawa Treaty had abandoned using antipersonnel landmines in the future, the mines laid earlier are still can be found in huge numbers buried under the soil and they cause serious ...
Zoltán Kovács, István Ember
openaire   +1 more source

Detection and Tracking Meet Drones Challenge [PDF]

open access: yesIEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
Drones, or general UAVs, equipped with cameras have been fast deployed with a wide range of applications, including agriculture, aerial photography, and surveillance. Consequently, automatic understanding of visual data collected from drones becomes highly demanding, bringing computer vision and drones more and more closely.
Pengfei Zhu 0001   +6 more
openaire   +3 more sources

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