Deep learning for unmanned aerial vehicles detection: A review-Reference-Cited by-同舟云学术

Deep learning for unmanned aerial vehicles detection: A review

Published:2024-02 Issue: Volume:51 Page:100614
ISSN:1574-0137
Container-title:Computer Science Review
language:en
Short-container-title:Computer Science Review

Author:

Al-lQubaydhi Nader,Alenezi Abdulrahman,Alanazi Turki,Senyor Abdulrahman,Alanezi Naif,Alotaibi Bandar^ORCID,Alotaibi Munif^ORCID,Razaque Abdul^ORCID,Hariri Salim

Publisher

Elsevier BV

Reference185 articles.

1. Unmanned aerial vehicle in military operations;Udeanu;Sci. Res. Educ. Air Force,2016

2. Internet of drones security and privacy issues: Taxonomy and open challenges;Yahuza;IEEE Access,2021

3. UAV IoT framework views and challenges: towards protecting drones as “things”;Lagkas;Sensors,2018

4. Software-defined UAV networks for 6G systems: Requirements, opportunities, emerging techniques, challenges, and research directions;Abir;IEEE Open J. Commun. Soc.,2023

5. UAVs assessment in software-defined IoT networks: An overview;Al-Turjman;Comput. Commun.,2020

Cited by 17 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. YOLO-LE: A lightweight and efficient UAV aerial image target detection model;2024-09-12

2. Quad Gaussian Networks for Vehicle Detection in Aerial Images;Sensors;2024-08-30

3. UAV Communication for Various Learning Approaches in Metaverse Healthcare Analysis Using Cloud Computing;Advances in Medical Technologies and Clinical Practice;2024-08-06

4. Mobile robot localization: Current challenges and future prospective;Computer Science Review;2024-08

5. Maximal LoRa Range for Unmanned Aerial Vehicle Fleet Service in Different Environmental Conditions;IoT;2024-07-31