Abstract: With the rapid development of intelligent driving technology, the demand for machine vision professionals in the field of autonomous driving is increasing day by day. Therefore, the article proposes a teaching model reform plan based on the combination of outcome-based education (OBE) and problem-based learning (PBL), which aims to improve the teaching effectiveness and talent cultivation quality of machine vision courses by reconstructing the curriculum system and optimizing teaching content and methods. The article first clarifies the specific requirements for machine vision skills in the field of autonomous driving, and based on this, sets the outcome goals for course learning to ensure that the teaching direction is closely aligned with industry needs. Then the article introduce the PBL teaching mode, by designing project tasks that are close to practical engineering problems, to guide students to actively explore and cooperate in learning, which can strength their ability to solve complex problems. Research has shown that the OBE-PBL teaching model effectively promotes the deep integration of students' theoretical knowledge and practical skills, and significantly improves their innovative thinking and practical operation abilities in the field of machine vision for autonomous driving.

Key words: autonomous driving; machine vision; outcome-based education; problem-based learning

摘要： 随着智能驾驶技术的快速发展，自动驾驶领域对机器视觉专业人才的需求日益增长。 因此，文章提出了成果导向教育（OBE）与问题导向学习（PBL）相结合的教学模式改革方 案，通过重构课程体系、优化教学内容与方法，提升机器视觉课程的教学效果与人才培养质 量。文章首先明确了自动驾驶领域对机器视觉技能的具体需求，以此为基础设定课程学习的 成果目标，确保教学方向与行业需求紧密对接。然后引入 PBL 教学模式，通过设计贴近实际 工程问题的项目任务，引导学生主动探索、合作学习，强化其解决复杂问题的能力。研究表 明，OBE-PBL 教学模式有效促进了学生理论知识与实践技能的深度融合，显著提高了学生在 自动驾驶机器视觉领域的创新思维和实践操作能力。

关键词: 自动驾驶；机器视觉；成果导向教育；问题导向学习