Effective In-Vehicle Network Training Strategy for Automotive Engineers

Jin Young Byun; Jae Wan Park; Do Yeon Kim; Chang Young Jo; Jae Wook Jeon

doi:10.1109/ACCESS.2022.3158269

IEEE Access (Jan 2022)

Effective In-Vehicle Network Training Strategy for Automotive Engineers

Jin Young Byun,
Jae Wan Park,
Do Yeon Kim,
Chang Young Jo,
Jae Wook Jeon

Affiliations

Jin Young Byun: ORCiD; Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, South Korea
Jae Wan Park: ORCiD; Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, South Korea
Do Yeon Kim: Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, South Korea
Chang Young Jo: Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, South Korea
Jae Wook Jeon: ORCiD; Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, South Korea

DOI: https://doi.org/10.1109/ACCESS.2022.3158269
Journal volume & issue: Vol. 10
pp. 29252 – 29266

Abstract

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This study describes a hands-on in-vehicle network (IVN) training course for automotive engineers, particularly for learners with different prior knowledge. We collected essential content to educate those with different backgrounds on IVN-related information, which is essential in practice. The course aims within a short period to effectively educate engineers working in the industry on IVN systems, and explains how to employ embedded systems and graphical user interfaces (GUIs) for this purpose. At the end of the training, the level of knowledge before and after training was compared to evaluate the training results, and engineers’ responses were recorded.

Published in IEEE Access

ISSN: 2169-3536 (Online)
Publisher: IEEE
Country of publisher: United States
LCC subjects: Technology: Electrical engineering. Electronics. Nuclear engineering
Website: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639

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