Real-Time Detection Method for Submarine Pipeline Leakage Based on Deep Learning and Jetson nano-Reference-Cited by-同舟云学术

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Real-Time Detection Method for Submarine Pipeline Leakage Based on Deep Learning and Jetson nano

Published:2022-10-17 Issue: Volume: Page:
ISSN:
Container-title:OCEANS 2022, Hampton Roads
language:
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Author:

Zhao Xinhua¹,Huang Zheng¹,Ye Lei¹,Lv Yongjia¹

Affiliation:

1. Harbin Engineering University,College of Intelligent Systems science and Engineering,Harbin,China,150001

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9976950/9976951/09977048.pdf?arnumber=9977048

Reference19 articles.

1. A Real-Time Apple Targets Detection Method for Picking Robot Based on Improved YOLOv5

2. Research on Morphological Detection of FR I and FR II Radio Galaxies Based on Improved YOLOv5

3. Real‐time automatic helmet detection of motorcyclists in urban traffic using improved YOLOv5 detector

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1. The application of deep learning in pipeline inspection: current status and challenges;Ships and Offshore Structures;2024-07-11

2. FocoTrack: Multi Object Tracking by Focusing On Overlap at Low Frame Rate;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

3. Enhancing Infant Safety: Performance Analysis of Deep Learning Method on Development Board for Real-Time Monitoring;Lecture Notes in Electrical Engineering;2024

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