Article Details

Abstract

With the development of the intelligent and connected vehicle industry, which integrates core information technologies such as information perception, network communication, embedded control, and simulation testing, there is an urgent need for innovation in the university curriculum system and teaching models. Industry-education integration is facing significant challenges. This paper takes the course "Intelligent and Connected Vehicle Technology" at South China Agricultural University as the research subject and proposes and implements a curriculum reform plan centered on information technology. A multi-modular course system has been established, incorporating new teaching materials that combine theoretical knowledge with industrial cases. Additionally, an open practical environment featuring "virtual-physical complementarity and resource sharing" has been developed. This teaching component deeply integrates key information technologies such as multi-sensor data fusion, in-vehicle network communication protocols, and intelligent algorithm testing and verification. A specialized program with a dual-mentor system consisting of academic advisors and corporate training mentors has also been introduced. Practice has shown that this model significantly enhances students' engineering practical abilities in complex information system integration, embedded software debugging, and multi-source data comprehensive analysis, providing a replicable path for industry-education integration to serve high-end intelligent manufacturing in information-related disciplines.

Keywords

Intelligent and Connected Vehicle (ICV); industry-education integration; university-enterprise collaboration; in-vehicle network

References

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Funding

Guangdong Undergraduate Teaching Quality and Teaching Reform Project (Yue Jiao Gao Han [2024] No. 30); South China Agricultural University Undergraduate Teaching Quality and Teaching Reform Project (JG2024001)

About the authors

Wu Weibin (1978-), male, Han ethnicity, born in Guangzhou, Guangdong, is a professor and doctoral student. His research interests include tea garden picking robots and intelligent control platforms, intelligent agricultural machinery for hilly and mountainous areas (lightweight simplified wheel/track/rail transport), intelligent connected vehicle line control chassis and onboard controllers; Corresponding author: Gao Ting (1978-), female, Han ethnicity, native of Feicheng, Shandong Province, senior engineer, master's student, research direction: environmental impact assessment, environmental planning, water pollution control, and soil ecological restoration.