HPN-SOE: Infrared small target detection and identification algorithm based on heterogeneous parallel networks with similarity object enhancement

S Liu, R Wu, J Qu, Y Li - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
Infrared (IR) image small target detection and identification is a massive challenge with vast
applications in essential places such as military industries and airports. Homoplastically, the …

FPGA-SoC implementation of YOLOv4 for flying-object detection

DD Nguyen, DT Nguyen, MT Le, QC Nguyen - Journal of Real-Time …, 2024 - Springer
Flying-object detection has become an increasingly attractive avenue for research,
particularly with the rising prevalence of unmanned aerial vehicle (UAV). Utilizing deep …

Segmentation of drone collision hazards in airborne RADAR point clouds using PointNet

H Arroyo, P Keir, D Angus, S Matalonga… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
The integration of drones into shared airspace for beyond visual line of sight (BVLOS)
operations presents significant challenges but holds transformative potential for sectors like …

Performability Modeling and Analysis for Real-Time Object Detection on UAV Systems

Q Zhang, F Machida, E Andrade - 2024 IEEE 48th Annual …, 2024 - ieeexplore.ieee.org
With the widespread application of Uncrewed Aerial Vehicles (UAVs) in various real-world
surveillance scenarios, the quality analysis of UAV-based monitoring systems has become …

Intelligent and Smart Traffic System Based on Yo-Lo Version-8 through Video Streaming for Longer Distance Level

A Varshney, D Arya, A Katiyar… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
The creation of intelligent traffic systems is essential in the age of smart cities and
developing technologies in order to guarantee effective and secure transportation networks …

Razvoj, optimizacija i implementacija dubokih neuronskih mreža na FPGA

D Miličević - 2024 - zir.nsk.hr
Sažetak Diplomski rad se bavi istraživanjem razvoja, optimizacije i implementacije dubokih
neuronskih mreža na FPGA platformama. Glavni problem koji se istražuje je kako učinkovito …

[PDF][PDF] DDConv: Dilated Depthwise Convolution with YOLOv5 for Drone Imagery

J Choi, M Kim, D Kim, K Jo - Education (MOE), 2021 - islab.ulsan.ac.kr
Unmanned Aerial Vehicles (UAVs) with Convolutional Neural Network (CNN)-based
artificial intelligence technologies have recently received high attention for various …

[引用][C] 방범드론을위한객체크기적응앵커에기반한개선된YOLOv5

김동규, 조강현 - 제어로봇시스템학회국내학술대회논문집, 2023 - dbpia.co.kr
Recently, computer vision studies have gained popularity due to their applicability in various
fields. One notable development in this area is the You Only Look Once version 5 (YOLOv5) …