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所在平台: Udemy |
课程主页: https://www.udemy.com/course/automated-lane-centring-system-in-compliance-with-iso-26262/
课程评论：没有评论
**课程名称：** 符合ISO 26262标准的自动车道保持系统 **课程概述：** 本课程深入探讨自动车道保持系统（Automated Lane Centring System），重点关注其设计、安全策略以及如何符合ISO 26262标准。学员将学习应用功能安全概念，进行风险评估，并开发系统架构。课程涵盖HAZOP、FMEA和STPA等方法，用于识别危险、评估风险并实施缓解策略。此外，学员还将学习如何定义安全需求，并确保系统设计能够实现关键安全目标。课程还强调性能参数和测试场景的重要性，以验证系统在不同条件下的功能。通过创建测试场景、进行风险评估和评估系统性能的实践经验，学员将能够确保系统满足安全目标和法规要求。 **核心内容：** * **功能安全（ISO 26262）：** 理解并应用功能安全理念，确保自动车道保持系统的安全性。 * **风险评估：** 学习使用HAZOP、FMEA和STPA等方法进行全面的风险评估，识别潜在危害。 * **系统设计与架构：** 学习开发满足安全要求的系统架构。 * **安全需求定义：** 掌握如何清晰地定义系统安全需求，指导设计过程。 * **性能验证：** 了解如何通过性能参数和测试场景来验证系统的功能和安全性。 * **实践技能：** 获得创建测试场景、进行风险评估和评估系统性能的实践经验。 **学习目标：** 完成课程后，学员将能够： * 评估和管理自动车道保持系统的安全风险。 * 确保系统符合相关的安全标准。 * 提升自动车道保持系统的整体可靠性。 * 为从事高级驾驶辅助系统（ADAS）和自动驾驶汽车开发及安全评估的工程师和专业人员提供价值。 * 应对将安全措施整合到复杂系统中面临的现实挑战，并改进安全协议。 **适合人群：** 从事高级驾驶辅助系统（ADAS）和自动驾驶汽车开发及安全评估的工程师和专业人员。
This course provides a comprehensive understanding of automated lane centering systems, focusing on their design, safety strategies, and compliance with ISO 26262 standards. Participants will learn to apply functional safety concepts, perform risk assessments, and develop system architectures. The course covers methodologies like HAZOP, FMEA, and STPA to identify hazards, assess risks, and implement mitigation strategies. Students will also explore how to define safety requirements and ensure that system design addresses critical safety objectives. Additionally, the course emphasizes the importance of performance parameters and test scenarios to validate system functionality under varying conditions. Hands-on experience in creating test scenarios, conducting risk assessments, and assessing system performance will allow participants to ensure the system meets safety goals and regulatory requirements. By the end of the course, students will be equipped with the skills to evaluate and manage safety risks in automated lane centering systems, ensuring compliance with safety standards and enhancing the overall system reliability. This knowledge will be valuable for engineers and professionals involved in the development and safety assessment of advanced driver-assistance systems (ADAS) and autonomous vehicles. The course will also prepare participants for real-world challenges faced when integrating safety measures into these complex systems, fostering skills to improve safety protocols.
