Optimizing YOLOv8 for Real-Time Performance in Humanoid Soccer Robots with OpenVINO-Reference-Cited by-同舟云学术

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Optimizing YOLOv8 for Real-Time Performance in Humanoid Soccer Robots with OpenVINO

Published:2024-08-06 Issue: Volume:abs/2209.02976 Page:304-309
ISSN:
Container-title:2024 International Electronics Symposium (IES)
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Author:

Pradana Erlangga Yudi¹,Aditya Aji Shalahuddin²,Abdulrrozaq Muhammad Amir³,Alasiry Ali Husein¹,Risnumawan Anhar²,Pitowarno Endra²

Affiliation:

1. Politeknik Elektronika Negeri Surabaya,Electrical Engineering Division,Surabaya,Indonesia

2. Politeknik Elektronika Negeri Surabaya,Mechatronics Engineering Division,Surabaya,Indonesia

3. Politeknik Elektronika Negeri Surabaya,Informatics Engineering Division,Surabaya,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10665754/10665755/10665829.pdf?arnumber=10665829

Reference17 articles.

1. Ultralytics YOLO;Jocher,2023

2. A Comprehensive Review of YOLO Architectures in Computer Vision: From YOLOv1 to YOLOv8 and YOLO-NAS

3. RoboCup 2015: Robot World Cup XIX

4. Robocup 2021: Robot world cup xxiv;RoboCup 2021: Robot World Cup XXIV,2022

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