Enhanced Small Drone Detection Using Optimized YOLOv8 With Attention Mechanisms-Reference-Cited by-同舟云学术

Enhanced Small Drone Detection Using Optimized YOLOv8 With Attention Mechanisms

Published:2024 Issue: Volume:12 Page:90629-90643
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Najihah Muhamad Zamri Fatin¹^ORCID,Gunawan Teddy Surya¹^ORCID,Hajar Yusoff Siti¹^ORCID,Alzahrani Ahmad A.²^ORCID,Bramantoro Arif³^ORCID,Kartiwi Mira⁴^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, International Islamic University Malaysia, Kuala Lumpur, Malaysia

2. Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia

3. School of Computing and Informatics, Universiti Teknologi Brunei, Bandar Seri Begawan, Brunei Darussalam

4. Department of Information Systems, International Islamic University Malaysia, Kuala Lumpur, Malaysia

Funder

Institutional Fund Projects

Ministry of Education and King Abdulaziz University, Deanship of Scientific Research (DSR), Jeddah, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10577135.pdf?arnumber=10577135

Reference49 articles.

1. Drone networks: Communications, coordination, and sensing

2. Drone Detection Using YOLOv5

3. On the Detection of Unauthorized Drones—Techniques and Future Perspectives: A Review

4. Enhancing UAV Detection in Surveillance Camera Videos through Spatiotemporal Information and Optical Flow

5. Drone vs. Bird Detection: Deep Learning Algorithms and Results from a Grand Challenge

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