Development and Application of Intelligent Connected Vehicle Teaching Software Based on Virtual Reality Technology
- DOI
- 10.2991/978-94-6463-262-0_108How to use a DOI?
- Keywords
- Virtual Reality; Intelligent Connected Car; Education and Teaching
- Abstract
The rapid development of the intelligent connected vehicle industry has led to a significant demand for talent. However, traditional teaching methods are unable to meet the requirements of actual job positions, posing challenges for vocational education institutions in cultivating intelligent connected vehicle professionals. This paper analyzes the instructional content and existing issues in the construction of intelligent connected vehicle programs in vocational education institutions. It develops an intelligent connected vehicle teaching system based on virtual reality technology and elucidates its application in terms of instructional content and functionality. The system provides a feasible and referenceable solution for the development of automotive information technology teaching in the field of intelligent connected vehicles, thereby addressing the aforementioned challenges.
- 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.
Cite this article
TY - CONF AU - Yan Wang AU - XiaoYan Huang AU - YuFei Zhang PY - 2023 DA - 2023/10/09 TI - Development and Application of Intelligent Connected Vehicle Teaching Software Based on Virtual Reality Technology BT - Proceedings of the 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023) PB - Atlantis Press SP - 1060 EP - 1069 SN - 2589-4943 UR - https://doi.org/10.2991/978-94-6463-262-0_108 DO - 10.2991/978-94-6463-262-0_108 ID - Wang2023 ER -