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 …
[HTML][HTML] A review on object detection in unmanned aerial vehicle surveillance
A Ramachandran, AK Sangaiah - International Journal of Cognitive …, 2021 - Elsevier
Purpose Computer vision in drones has gained a lot of attention from artificial intelligence
researchers. Providing intelligence to drones will resolve many real-time problems …
researchers. Providing intelligence to drones will resolve many real-time problems …
Real-time and accurate drone detection in a video with a static background
With the increasing number of drones, the danger of their illegal use has become relevant.
This has necessitated the creation of automatic drone protection systems. One of the …
This has necessitated the creation of automatic drone protection systems. One of the …
RF-based drone detection and identification using deep learning approaches: An initiative towards a large open source drone database
The omnipresence of unmanned aerial vehicles, or drones, among civilians can lead to
technical, security, and public safety issues that need to be addressed, regulated and …
technical, security, and public safety issues that need to be addressed, regulated and …
Single-stage uav detection and classification with yolov5: Mosaic data augmentation and panet
In Drone-vs-Bird Detection Challenge in conjunction with the 4th International Workshop on
Small-Drone Surveillance, Detection and Counteraction Techniques at IEEE AVSS 2021, we …
Small-Drone Surveillance, Detection and Counteraction Techniques at IEEE AVSS 2021, we …
[HTML][HTML] Drone detection and tracking in real-time by fusion of different sensing modalities
F Svanström, F Alonso-Fernandez, C Englund - Drones, 2022 - mdpi.com
Automatic detection of flying drones is a key issue where its presence, especially if
unauthorized, can create risky situations or compromise security. Here, we design and …
unauthorized, can create risky situations or compromise security. Here, we design and …
Does deep super-resolution enhance uav detection?
The popularity of Unmanned Aerial Vehicles (UAVs) is increasing year by year and
reportedly their applications hold great shares in global technology market. Yet, since UAVs …
reportedly their applications hold great shares in global technology market. Yet, since UAVs …
A modified YOLOv4 Deep Learning Network for vision-based UAV recognition
F Dadrass Javan, F Samadzadegan, M Gholamshahi… - Drones, 2022 - mdpi.com
The use of drones in various applications has now increased, and their popularity among
the general public has increased. As a result, the possibility of their misuse and their …
the general public has increased. As a result, the possibility of their misuse and their …
Detection of a moving UAV based on deep learning-based distance estimation
YC Lai, ZY Huang - Remote Sensing, 2020 - mdpi.com
Distance information of an obstacle is important for obstacle avoidance in many
applications, and could be used to determine the potential risk of object collision. In this …
applications, and could be used to determine the potential risk of object collision. In this …
Efficient quantum image classification using single qubit encoding
P Easom-McCaldin, A Bouridane… - … on Neural Networks …, 2022 - ieeexplore.ieee.org
The domain of image classification has been seen to be dominated by high-performing deep-
learning (DL) architectures. However, the success of this field, as seen over the past decade …
learning (DL) architectures. However, the success of this field, as seen over the past decade …