Digital Transformation on Power Transmission Line Inspection using Autonomous Drone and Deep Learning-Reference-Cited by-同舟云学术

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Digital Transformation on Power Transmission Line Inspection using Autonomous Drone and Deep Learning

Published:2022-12-09 Issue: Volume: Page:
ISSN:
Container-title:2022 2nd International Conference on Robotics, Automation and Artificial Intelligence (RAAI)
language:
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Author:

Surantha Nico¹,Iwao Toru¹,Ren Zhenwei²,Morishita Honoka²

Affiliation:

1. Tokyo City University,Faculty of Science and Engineering,Department of Electrical, Electronics, and Communication Engineering,Tokyo,Japan

2. Tokyo City University,Electrical Engineering and Chemistry, Graduate School of Integrative Science and Engineering,Tokyo,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10092949/10092953/10092983.pdf?arnumber=10092983

Reference40 articles.

1. Real-time On-board Detection of Components and Faults in an Autonomous UAV System for Power Line Inspection

2. Vision-based automatic real time inspection of power transmission line;lee;2013 44th Int Symp Robot ISR 2013,2013

3. Applications of drone in disaster management: A scoping review

4. Light-OPU

5. Benchmark Analysis of Jetson TX2, Jetson Nano and Raspberry PI using Deep-CNN

Cited by 2 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. UAV Inspections of Power Transmission Networks with AI Technology: A Case Study of Lesvos Island in Greece;Energies;2024-07-18

2. Power Transmission Line Component Detection using YOLO V3 on Raspberry Pi;2023 22nd International Symposium on Communications and Information Technologies (ISCIT);2023-10-16

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