DRONET: Multi-tasking framework for real-time industrial facility aerial surveillance and safety
The security of key and critical infrastructures is crucial for uninterrupted industrial process
flow needed in strategic management as these facilities are major targets of invaders. The …
flow needed in strategic management as these facilities are major targets of invaders. The …
ALIEN: Assisted learning invasive encroachment neutralization for secured drone transportation system
Priority-based logistics and the polarization of drones in civil aviation will cause an
extraordinary disturbance in the ecosystem of future airborne intelligent transportation …
extraordinary disturbance in the ecosystem of future airborne intelligent transportation …
Autonomous long-range drone detection system for critical infrastructure safety
X Zhang, K Kusrini - Multimedia Tools and Applications, 2021 - Springer
The development of unmanned aerial vehicles has been identified as a potential source of a
weapon for causing operational disruptions against critical infrastructures. To mitigate and …
weapon for causing operational disruptions against critical infrastructures. To mitigate and …
Real world object detection dataset for quadcopter unmanned aerial vehicle detection
M Pawełczyk, M Wojtyra - IEEE Access, 2020 - ieeexplore.ieee.org
Recent years have shown a noticeable rise in the number of incidents with drones, related to
both civilian and military installations. While drone neutralization techniques have become …
both civilian and military installations. While drone neutralization techniques have become …
On the detection of unauthorized drones—Techniques and future perspectives: A review
MA Khan, H Menouar, A Eldeeb… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
The market size of civilian drones is tremendously increasing and is expected to reach 1.66
million by the end of 2023. The increase in number of civilian drones poses several privacy …
million by the end of 2023. The increase in number of civilian drones poses several privacy …
Advances and challenges in drone detection and classification techniques: A state-of-the-art review
The fast development of unmanned aerial vehicles (UAVs), commonly known as drones, has
brought a unique set of opportunities and challenges to both the civilian and military sectors …
brought a unique set of opportunities and challenges to both the civilian and military sectors …
Detection and recognition of drones based on a deep convolutional neural network using visible imagery
Drones are becoming increasingly popular not only for recreational purposes but also in a
variety of applications in engineering, disaster management, logistics, securing airports, and …
variety of applications in engineering, disaster management, logistics, securing airports, and …
Survey on anti-drone systems: Components, designs, and challenges
This paper presents a comprehensive survey on anti-drone systems. After drones were
released for non-military usages, drone incidents in the unarmed population are gradually …
released for non-military usages, drone incidents in the unarmed population are gradually …
Multiscale object detection from drone imagery using ensemble transfer learning
Object detection in uncrewed aerial vehicle (UAV) images has been a longstanding
challenge in the field of computer vision. Specifically, object detection in drone images is a …
challenge in the field of computer vision. Specifically, object detection in drone images is a …
Machine learning-based drone detection and classification: State-of-the-art in research
This paper presents a comprehensive review of current literature on drone detection and
classification using machine learning with different modalities. This research area has …
classification using machine learning with different modalities. This research area has …