Abstract: The intelligent connected vehicle industry has an urgent need for talents in the field of deployment. This paper provides a scalable paradigm for the teaching of Intelligent Vehicle Environmental Perception course in the Intelligent Vehicle Engineering major. environmental perception. This paper analyzes the common problems in current course teaching in depth, including the disconnection between theory and engineering, high hardware costs and the lag of teaching content, proposing a course teaching system design plan for new engineering disciplines. Based on the concept of outcome-based education (OBE), a three-layer progressive teaching content system is built, which consists of basic theories, core algorithms and frontier expansions. The construction path of the virtual-real integration experimental environment is explored, and a high-fidelity simulation platform and a miniature intelligent vehicle hardware system is built, which solve the teaching pain points of high threshold and high risk in real vehicle testing. A full-process teaching case library is established, covering data collection, model training and edge-side

Key words: newengineering;intelligentvehicles;environmentperception;curriculumsystemdesign

摘要： 智能网联汽车产业对环境感知领域的人才有着迫切需求。文章深入剖析了当前课程教 学中理论与工程脱节、硬件成本高昂、教学内容滞后等共性问题，提出一种面向新工科的课 程教学体系设计方案。基于成果导向教育（OBE）理念，构建包含基础理论、核心算法、前 沿拓展的三层递进教学内容体系；探索虚实融合实验环境建设路径，搭建高保真仿真平台及 缩微智能车硬件系统，解决实车测试门槛高、风险大的教学痛点；建立包含数据采集、模型 训练、端侧部署的全流程教学案例库。为智能车辆工程专业环境感知课程教学提供了可推广的 范式。

关键词: 新工科；智能车辆；环境感知；课程体系设计