Development of an Edge Device and Cloud Environment for Replica Vehicle Implementation
- 提供方法
- 本サイト上にてダウンロード・閲覧可
- 形態
- 価格
- 一般価格(税込):¥1,100 会員価格(税込):¥880
- 文献番号
- 20266054
- 文献・情報種別
- 学術講演会予稿集(秋)
No.103-26
- 掲載ページ
- 1-4(Total 4 p)
- 発行年月
- 2026年 10月
- 出版社
- (公社)自動車技術会
- 言語
- 英語
- イベント
- 2026年秋季大会
書誌事項
| 著者 | 1) Seungwan Son, 2) Daejin Kim, 3) Seungyong Bae, 4) Minchul Lee |
|---|---|
| 著者(英) | 1) Seungwan Son, 2) Daejin Kim, 3) Seungyong Bae, 4) Minchul Lee |
| 勤務先 | 1) Hyundai Motor, 2) Hyundai Motor, 3) Hyundai Motor, 4) ACEWORKS |
| 勤務先(英) | 1) Hyundai Motor, 2) Hyundai Motor, 3) Hyundai Motor, 4) ACEWORKS |
| 抄録(英) | To support the establishment of vehicle durability targets using data from a large fleet, an AI-based virtual sensor was developed to enable the creation of a replica vehicle. An Edge Device was implemented to provide an onboard development environment, built on the ROS framework, enabling machine learning model development using CAN RAW data and measurement data. These models facilitated the estimation of suspension transfer loads. Furthermore, a cloud-based development environment was constructed to support scalable data acquisition, model training, and load prediction, contributing to reliable and data-driven durability evaluation. 翻訳 |