Swarm Reconnaissance Drone System for Real-Time Object Detection Over a Large Area-Reference-Cited by-同舟云学术

Swarm Reconnaissance Drone System for Real-Time Object Detection Over a Large Area

Published:2023 Issue: Volume:11 Page:23505-23516
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Moon Sungtae¹,Jeon Jihun²^ORCID,Kim Doyoon³,Kim Yongwoo⁴^ORCID

Affiliation:

1. School of Computer Engineering, Korea University of Technology and Education, Cheonan-si, Republic of Korea

2. Department of Electrical and Computer Engineering, Inha University, Incheon, Republic of Korea

3. Korea Aerospace Research Institute (KARI), Deajon, Republic of Korea

4. Department of System Semiconductor Engineering, Sangmyung University, Cheonan-si, Republic of Korea

Funder

Unmanned Vehicle Advanced Research Center

Ministry of Science and ICT, Republic of Korea

National Research Foundation of Korea

Korean Government

MSIT under the Information Technology Research Center (ITRC) Support Program through the Institute for Information & Communications Technology Planning & Evaluation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10005086.pdf?arnumber=10005086

Reference36 articles.

1. RRNet: A Hybrid Detector for Object Detection in Drone-Captured Images

2. PX4: A node-based multithreaded open source robotics framework for deeply embedded platforms

3. Automatic UAV image registration using feature detection and matching with satellite imagery;jordan,2018

4. Holistic Filter Pruning for Efficient Deep Neural Networks

5. Small-Object Detection in UAV-Captured Images via Multi-Branch Parallel Feature Pyramid Networks

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