Cross-Curricular Intelligent Vehicle Learning Platform Based on Deep Learning Framework

Nixuan Lin; Xiaochun Xu; Yuwei Wu; Chenchen Xu; Xin Wang; Huibin Feng

doi:10.2991/978-94-6463-568-3_20

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Cross-Curricular Intelligent Vehicle Learning Platform Based on Deep Learning Framework

Authors

Nixuan Lin¹, Xiaochun Xu¹^{, *}, Yuwei Wu², Chenchen Xu², Xin Wang¹, Huibin Feng¹

¹School of Computer and Big Data, Minjiang University, Fuzhou, 350108, China

²International Digital Economy College, Minjiang University, Fuzhou, 350108, China

^*Corresponding author. Email: xuxiaochun0303@126.com

Corresponding Author

Xiaochun Xu

Available Online 27 November 2024.

DOI: 10.2991/978-94-6463-568-3_20 How to use a DOI?
Keywords: Jason Nano; Cross-curricular Platform; Intelligent Vehicle
Abstract: The artificial intelligence industry is advancing rapidly, yet there is a noticeable lag in China’s higher education curriculum, causing classroom teaching to be out of sync with the demands of the job market. To address this issue, this paper proposes a cross-curricular intelligent vehicle learning platform based on a deep learning framework that bridges multiple curriculum systems and integrates theory with practical application. The platform holistically develops students’ hardware design and software programming skills, spanning from foundational courses to specialized ones. It supports the implementation of emerging artificial intelligence technologies such as machine vision and deep learning, and aligns flexibly with employment market needs, making it an ideal educational system for the comprehensive training of undergraduates.
Copyright: © 2024 The Author(s)
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title: Proceedings of the 2024 5th International Conference on Modern Education and Information Management (ICMEIM 2024)
Series: Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date: 27 November 2024
ISBN: 978-94-6463-568-3
ISSN: 2667-128X
DOI: 10.2991/978-94-6463-568-3_20 How to use a DOI?
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

ris enw bib

TY  - CONF
AU  - Nixuan Lin
AU  - Xiaochun Xu
AU  - Yuwei Wu
AU  - Chenchen Xu
AU  - Xin Wang
AU  - Huibin Feng
PY  - 2024
DA  - 2024/11/27
TI  - Cross-Curricular Intelligent Vehicle Learning Platform Based on Deep Learning Framework
BT  - Proceedings of the 2024 5th International Conference on Modern Education and Information Management (ICMEIM 2024)
PB  - Atlantis Press
SP  - 143
EP  - 149
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-568-3_20
DO  - 10.2991/978-94-6463-568-3_20
ID  - Lin2024
ER  -

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