| アイテムタイプ |
共通アイテムタイプ(1) |
| 公開日 |
2025-02-14 |
| タイトル |
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|
タイトル |
YOLO real-time object detection on EV3-Robot using FPGA hardware Accelerator |
|
言語 |
en |
| 著者 |
Pramanta, Dinda
Fuengfusin, Ninnart
Syulistyo, Arie Rachmad
田向, 権
|
| 著作権関連情報 |
|
|
権利情報 |
Copyright (c) The authors. |
| 著作権関連情報 |
|
|
権利情報Resource |
https://creativecommons.org/licenses/by-nc/4.0/ |
|
権利情報 |
This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/ |
| 抄録 |
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|
内容記述タイプ |
Abstract |
|
内容記述 |
The growing demand for robots necessitates faster and more precise processing. However, running large Artificial Intelligence (AI) models from cloud data centers to mobile robots via inference models uses considerable computation resources, which leads to power limitations, particularly for mobile robots. The use of reconfigurable semiconductor devices at the hardware level is a promising solution to this problem. We introduce the educational kit EV3-Robot with a co-design methodology utilizing Field-programmable Gate Arrays (FPGA) Kria KV260 as a hardware accelerator specifically for object detection. We apply the You Only Look Once (YOLO) model for object detection, which provides real-time results for practical applications. Additionally, we analyze the processing times of the local PC and EV3-Robot. |
|
言語 |
en |
| 備考 |
|
|
内容記述タイプ |
Other |
|
内容記述 |
The 2024 International Conference on Artificial Life and Robotics (ICAROB 2024), February 22-25, 2024, on line, Oita, Japan |
|
言語 |
en |
| 書誌情報 |
en : Proceedings of International Conference on Artificial Life & Robotics (ICAROB2024)
巻 29,
p. 416-420,
発行日 2024-02-22
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| 出版社 |
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|
出版者 |
ALife Robotics |
|
言語 |
en |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
EV3-Robot |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
FPGA |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
Object detection |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
YOLO |
| 言語 |
|
|
言語 |
eng |
| 資源タイプ |
|
|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_5794 |
|
資源タイプ |
conference paper |
| 出版タイプ |
|
|
出版タイプ |
VoR |
|
出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| DOI |
|
|
|
識別子タイプ |
DOI |
|
|
関連識別子 |
https://doi.org/10.5954/icarob.2024.os15-1 |
| ISBN |
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|
識別子タイプ |
ISBN |
|
|
関連識別子 |
978-4-9913337-0-5 |
| ISSN |
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|
収録物識別子タイプ |
EISSN |
|
収録物識別子 |
2435-9157 |
| 会議記述 |
|
|
|
会議名 |
The 2024 International Conference on Artificial Life and Robotics (ICAROB 2024) |
|
|
言語 |
en |
|
|
開始年 |
2024 |
|
|
開始月 |
02 |
|
|
開始日 |
22 |
|
|
終了年 |
2024 |
|
|
終了月 |
02 |
|
|
終了日 |
25 |
|
開催国 |
JPN |
| 研究者情報 |
|
|
URL |
https://hyokadb02.jimu.kyutech.ac.jp/html/100000641_ja.html |
| 論文ID（連携） |
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|
値 |
10444464 |
| 連携ID |
|
|
値 |
12806 |
10444464.pdf (462 KB)
