A Real-Time Deep UAV Detection Framework Based on a YOLOv8 Perception Module

WS Miled, MA Akhloufi, H Ben Asker - International Conference on …, 2023 - Springer
Abstract Unmanned Aerial Vehicles (UAVs) or drones are currently gaining a lot of
popularity due to the versatility of this technology and its ability to perform multiple tasks in …

[PDF][PDF] YOLOv7E: An Attention-Based Improved YOLOv7 for the Detection of Unmanned Aerial Vehicles.

D Kaur, N Battish, A Bhavsar, S Poddar - ICPRAM, 2024 - scitepress.org
The detection of Unmanned Aerial Vehicles (UAVs) is a special case for object detection,
specifically in the case of air-to-air scenarios with complex backgrounds. The proliferated …

Fine-tuned YOLOv5 for real-time vehicle detection in UAV imagery: Architectural improvements and performance boost

MH Hamzenejadi, H Mohseni - Expert Systems with Applications, 2023 - Elsevier
Abstract Nowadays, Unmanned Aerial Vehicles (UAVs) have become useful for various civil
applications, such as traffic monitoring and smart parkings, where real-time vehicle detection …

Accurate and Real-Time Vehicle Detection in Uav Imagery Based on Small-Size and Improved Yolov5

MH Hamzenejadi, H Mohseni - Available at SSRN 4341617 - papers.ssrn.com
Abstract Nowadays, Unmanned Aerial Vehicles (UAVs) have become useful for various civil
applications, such as smart parking, where real-time vehicle detection and classification is …

A lightweight and accurate uav detection method based on yolov4

H Cai, Y Xie, J Xu, Z Xiong - Sensors, 2022 - mdpi.com
At present, the UAV (Unmanned Aerial Vehicle) has been widely used both in civilian and
military fields. Most of the current object detection algorithms used to detect UAVs require …

Performance Analysis of YOLOv7 and YOLOv8 Models for Drone Detection

K Agarwal, A Sanyo, S Bakshi, M Vinay… - 2023 International …, 2023 - ieeexplore.ieee.org
Drone detection techniques are used to detect unmanned aerial systems (UAS) also
commonly known as drones. A rapid increase in these drones has limited the airspace …

Object Detection Algorithm Based on Improved YOLOv7 for UAV Images

YH Chung, CY Su - 2023 IEEE 5th Eurasia Conference on IOT …, 2023 - ieeexplore.ieee.org
The technology of unmanned aerial vehicles (UAVs) has matured and widened the range of
applications in engineering, agriculture, transportation, surveillance, and so on. Deep …

Object Detection of UAV Aerial Image based on YOLOv8

C Liu, F Meng, Z Zhu, L Zhou - Frontiers in Computing and Intelligent …, 2023 - drpress.org
With the development of technology, unmanned aerial vehicles (UAVs) have shed their
military uses and gradually expanded to civilian and commercial fields. With the …

Real-time uav detection based on deep learning network

SA Hassan, T Rahim, SY Shin - 2019 International Conference …, 2019 - ieeexplore.ieee.org
This paper presents deep learning-based YOLO (You only look once), for the detection of an
unmanned aerial vehicle (UAV). In common practice, the creation of own data set is an …

Lightweight air-to-air unmanned aerial vehicle target detection model

Q Cheng, Y Wang, W He, Y Bai - Scientific Reports, 2024 - nature.com
The rapid expansion of the drone industry has resulted in a substantial increase in the
number of low-altitude drones, giving rise to concerns regarding collision avoidance and …