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Summary & Details

Development of an Edge Device and Cloud Environment for Replica Vehicle Implementation

Delivery: Available on this site

Format: PDF

Price: Non-members (tax incl.)：￥1,100 Members (tax incl.)：￥880

Publication code: 20266054

Paper/Info type: Proceedings (Autumn)

No.103-26

Pages: 1-4(Total 4 p)

Date of publication: Oct 2026

Publisher: JSAE

Language: English

Event: 2026 JSAE Annual Congress (Autumn)

Detailed Information

Author(J)	1) Seungwan Son, 2) Daejin Kim, 3) Seungyong Bae, 4) Minchul Lee
Author(E)	1) Seungwan Son, 2) Daejin Kim, 3) Seungyong Bae, 4) Minchul Lee
Affiliation(J)	1) Hyundai Motor, 2) Hyundai Motor, 3) Hyundai Motor, 4) ACEWORKS
Affiliation(E)	1) Hyundai Motor, 2) Hyundai Motor, 3) Hyundai Motor, 4) ACEWORKS
Abstract(E)	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.

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