2019《自动驾驶安全第一》白皮书(附下载)

2019《自动驾驶安全第一》白皮书

报告摘要:

This publication summarizes widely known safety by design and verification and validation (V&V) methods of SAE L3 and L4 automated driving. This summary is required for maximizing the evidence of a positive risk balance of automated driving solutions compared to the average human driving performance. There is already a vast array of publications focusing on only specific subtopics of automated driving. In contrast, this publication is a comprehensive approach to safety relevant topics of automated driving and is based on the input of OEMs, tiered suppliers and key technology providers. The approach of this publication is to systematically break down safety principles into safety by design capabilities, elements and architectures and then to summarize the V&V methods in order to demonstrate the positive risk balance. This publication is intended to contribute to current activities working towards the industry-wide standardization of automated driving.

本出版物通过SAE L3和L4自动驾驶的设计,验证和验证(V&V)方法总结了众所周知的安全性。 需要此摘要以最大化自动驾驶解决方案的积极风险平衡的证据,与人类平均驾驶性能相比。 已经有大量出版物仅关注自动驾驶的特定子主题。 相比之下,本出版物是针对自动驾驶安全相关主题的综合方法,并基于OEM,分层供应商和关键技术提供商的意见。 本出版物的方法是通过设计能力,要素和架构系统地将安全原则分解为安全,然后总结V&V方法,以证明积极的风险平衡。 本出版物旨在为当前旨在实现全行业自动驾驶标准化的活动做出贡献。

报告目录:

1.  INTRODUCTION & MOTIVATION

1.  介绍和动机

2.  SYSTEMATICALLY DEVELOPING DEPENDABILITY TO SUPPORT SAFETY  BY DESIGN

2.  系统地发展可持续性以支持设计安全

3.  VERIFICATION AND VALIDATION

3.  验证和确认

4.  CONCLUSION AND OUTLOOK

4.  结论和展望

5.  APPENDIX A: DEVELOPMENT EXAMPLES

5.  附录A:发展实例

6.  APPENDIX B: USING DEEP NEURAL NETWORKS TO IMPLEMENT SAFETY-RELATED  ELEMENTS FOR AUTOMATED DRIVING           SYSTEMS

6.  附录B:使用深层神经网络实现自动驾驶系统的安全相关要素

7.  GLOSSARY

7.  词汇

8.  REFERENCES

8.  参考

 

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