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 …

Detection of unauthorized unmanned aerial vehicles using YOLOv5 and transfer learning

N Al-Qubaydhi, A Alenezi, T Alanazi, A Senyor… - Electronics, 2022 - mdpi.com
Drones/unmanned aerial vehicles (UAVs) have recently grown in popularity due to their
inexpensive cost and widespread commercial use. The increased use of drones raises the …

Dw-yolo: an efficient object detector for drones and self-driving vehicles

Y Chen, W Zheng, Y Zhao, TH Song, H Shin - Arabian Journal for Science …, 2023 - Springer
Object detection is frequently a challenging task due to poor visual cues of objects in an
image. In this paper, a new efficient deep learning-based detection method, named as …

[HTML][HTML] A dataset for multi-sensor drone detection

F Svanström, F Alonso-Fernandez, C Englund - Data in Brief, 2021 - Elsevier
The use of small and remotely controlled unmanned aerial vehicles (UAVs), referred to as
drones, has increased dramatically in recent years, both for professional and recreative …

Deep learning for unmanned aerial vehicles detection: A review

N Al-lQubaydhi, A Alenezi, T Alanazi, A Senyor… - Computer Science …, 2024 - Elsevier
As a new type of aerial robotics, drones are easy to use and inexpensive, which has
facilitated their acquisition by individuals and organizations. This unequivocal and …

SyNet: An ensemble network for object detection in UAV images

BM Albaba, S Ozer - 2020 25th International conference on …, 2021 - ieeexplore.ieee.org
Recent advances in camera equipped drone applications and their widespread use
increased the demand on vision based object detection algorithms for aerial images. Object …

Fast and accurate, convolutional neural network based approach for object detection from UAV

X Wang, P Cheng, X Liu… - IECON 2018-44th Annual …, 2018 - ieeexplore.ieee.org
Unmanned Aerial Vehicles (UAVs), have intrigued different people from all walks of life,
because of their pervasive computing capabilities. UAV equipped with vision techniques …

Visdrone-det2018: The vision meets drone object detection in image challenge results

P Zhu, L Wen, D Du, X Bian, H Ling… - Proceedings of the …, 2018 - openaccess.thecvf.com
Object detection is a hot topic with various applications in computer vision, eg, image
understanding, autonomous driving, and video surveillance. Much of the progresses have …

Deep learning based multi-category object detection in aerial images

LW Sommer, T Schuchert… - … Target Recognition XXVII, 2017 - spiedigitallibrary.org
Multi-category object detection in aerial images is an important task for many applications
such as surveillance, tracking or search and rescue tasks. In recent years, deep learning …

Efficient object detection model for real-time UAV applications

S Vaddi - 2019 - search.proquest.com
Abstract Unmanned Aerial Vehicles (UAVs) especially drones, equipped with vision
techniques have become very popular in recent years, with their extensive use in wide …