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Autonomy Safety

UL认证机器学习在自动驾驶安全领域的应用培训

此培训为期两天,主要介绍机器学习在汽车安全方面的应用,以及专业的汽车安全框架。

此为期两天的培训课程会专门介绍机器学习(ML)在汽车安全方面的应用。指导参与者在汽车安全框架中开发ML组件,包括功能安全(FuSa)和预期功能安全(SOTIF)。

此外,培训内容还涵盖最新自动驾驶安全标准的参考信息,具体包括:

  • UL 4600,自动驾驶产品安全评估标准。
  • ISO/TR 4804:2020,道路车辆 - 自动驾驶系统的安全和网络安全 - 设计、验证和确认。
  • ISO/IEC DTR 5469,人工智能 - 功能安全和AI系统。
  • ISO/PAS 8800,道路车辆 - 安全和人工智能。
  • ISO/IEC TR 24029-1:2021,人工智能 (AI) - 神经网络稳健性评估 - 第1部分:概述。
  • ISO/IEC DIS 24029-2,人工智能(AI) - 神经网络稳健性评估 - 第2部分:使用形式化方法的方法论。

Key Takeaways

第1天

  • 引言。
  • 汽车安全和人工智能标准。
  • 将AI部署到系统中。
  • 保证AI安全需要考虑的因素。
  • 运行示例。
  • 规范和设计(特定于SOTIF)。
  • 人工智能安全文化。
  • 概念阶段。
  • 系统开发阶段

第2天

  • 硬件开发阶段。
  • 软件开发阶段。
  • 验证和确认(V&V)策略。
  • 软件验证阶段。
  • 硬件验证阶段。
  • 系统验证阶段。
  • 车辆验证和确认阶段。
  • 评估。
  • 运行、报废、服务和维护。

Target Audience

负责高级驾驶辅助系统(ADAS)和自动驾驶汽车(AV)的工程师,包括:

  • 汽车工程师。
  • 安全工程师。
  • 数据专家。
  • 项目主管。
  • 测试人员。

Prerequisites

  • UL认证人工智能专员。
  • 接受过ML模型开发实践基础培训。
  • 对SOTIF (ISO 21448)和功能安全(ISO 26262)已具备一定了解。

Examination

学员完成培训后,即可在第三天早上参加时长两个小时的认证考试。通过考试的人员将获得UL认证自动驾驶安全专员 - 机器学习(UL-CASP)认证。成功通过UL-CASP考试后,参与者将获得证书和徽章,以此证明其在机器学习方面的专业能力。该认证有效期为三年,期满后个人可以重新认证。

Further Information

在线培训涉及的相关资料均以数字形式提供。线下培训涉及的相关资料也以数字形式提供,同时可能还会有纸质补充材料。另外,学员还必须自行准备相关标准副本。

Course Dates

Dates 地点 Time Language Status Price
2025/4/1 —
2025/4/2
Virtual 09:00 AM - 05:00 PM CST/CDT English
2025/5/20 —
2025/5/22
Shanghai, China 09:00 AM - 05:00 PM CST Simplified Chinese
2025/7/22 —
2025/7/24
Shanghai, China 09:00 AM - 05:00 PM CST Simplified Chinese
2025/9/23 —
2025/9/25
Shanghai, China 09:00 AM - 05:00 PM CST Simplified Chinese CNY¥11000 REGISTER
2025/10/7 —
2025/10/8
Virtual 09:00 AM - 05:00 PM CST English $1350 REGISTER
2025/11/18 —
2025/11/20
Shanghai, China 09:00 AM - 05:00 PM CST Simplified Chinese CNY¥11000 REGISTER
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