@inproceedings{6c76630ee5ac4fadb8548e3d8fc4d23d,
title = "Enhanced Efficiency of UDS-Based Large Data Diagnostics through CAN-FD to CAN Gateway",
abstract = "The automotive industry is currently focusing on the development of vehicle software, prompting a shift in the vehicle's ECU structure from a decentralized E/E architecture to a centralized one for efficient software control. Furthermore, a domain gateway communicates with higher-level gateways through CAN-FD or Ethernet protocols and ECUs process more data than ever before. Consequently, the diagnostic framework needs to be aligned accordingly. The predominant diagnostic protocol utilized in the automotive industry is known as UDS (Unified Diagnostic Services). In the past, protocols like UDSonCAN were predominantly employed in a way that enabled gateways to bypass diagnostic messages. This present study proposes an algorithm aimed at optimizing diagnosis for large diagnostic data by converting ECU-originated CAN diagnostic messages to CAN-FD or CAN-FD-TP formats, facilitating their efficient transmission to the diagnostic tool.",
keywords = "CAN, CAN-FD, Centralized-E/E architecture, gateway UDS",
author = "Lim, \{Se Jeong\} and Do, \{Young Soo\} and Jeon, \{Jae W.\}",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2023 ; Conference date: 23-10-2023 Through 25-10-2023",
year = "2023",
doi = "10.1109/ICCE-Asia59966.2023.10326329",
language = "English",
series = "2023 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2023 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2023",
}