Real-Time Power Line Detection for Safe Flight of Agricultural Spraying Drones Using Embedded Systems and Deep Learning-Reference-Cited by-同舟云学术

Real-Time Power Line Detection for Safe Flight of Agricultural Spraying Drones Using Embedded Systems and Deep Learning

Published:2022 Issue: Volume:10 Page:54947-54956
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Son Hyun-Sik¹^ORCID,Kim Deok-Keun²^ORCID,Yang Seung-Hwan²^ORCID,Choi Young-Kiu¹^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, Pusan National University, Geumjeong-gu, Busan, Republic of Korea

2. Smart Agricultural Machinery R&D Group, Korea Institute of Industrial Technology, Gimje-si, Jeollabuk-do, Republic of Korea

Funder

Ministry of Small and Medium Enterprises and Startups (MSS), South Korea, through the Regional Specialized Industry Development Program supervised by the Korea Institute for Advancement of Technology

Korea Institute of Industrial Technology through the Development of Holonic Manufacturing System for Future Industrial Environment

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09780149.pdf?arnumber=9780149

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4. YOLOv3: An incremental improvement;redmon;arXiv 1804 02767,2018

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