Autonomous Inspection of Solar Panels and Wind Turbines Using YOLOv8 with Quadrotor Drones-Reference-Cited by-同舟云学术

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Autonomous Inspection of Solar Panels and Wind Turbines Using YOLOv8 with Quadrotor Drones

Published:2024-08-13 Issue: Volume: Page:322-326
ISSN:
Container-title:2024 9th International Conference on Mechatronics Engineering (ICOM)
language:
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Author:

Lionel Nguyen¹,Bingi Kishore²,Ibrahim Rosdiazli²,Korah Reeba³,Kumar Gaurav³,Prusty B Rajanarayan⁴

Affiliation:

1. Polytech Dijon,Dept. of Computer Science and Electronics,Dijon,France

2. Universiti Teknologi PETRONAS,Dept. of Electrical and Electronics Engineering,Seri Iskandar,Malaysia

3. ACED, Alliance University,Dept. of Electronics and Communication Engineering,Bangalore,India

4. School of Engineering, Galgotias University,Dept. of Electrical, Electronics and Communication Engineering,Greater Noida,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10651580/10652257/10652395.pdf?arnumber=10652395

Reference12 articles.

1. An approach based on deep learning methods to detect the condition of solar panels in solar power plants

2. Solar Panels Recognition Based on Machine Learning

3. Deep Learning-Based Detection and Segmentation of Damage in Solar Panels

4. Solar Panel Detection within Complex Backgrounds Using Thermal Images Acquired by UAVs

5. Detecting faulty solar panels based on thermal image processing

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