Summary

Introduction

Eleven industry leaders across the automotive and autonomous driving technology spectrum announced the publication of, “Safety First for Automated Driving,” or SaFAD, a comprehensive, organized framework for the development, testing and validation of safe autonomous passenger vehicles.

These 11 leaders — Aptiv, Audi, Baidu, BMW, Continental, Daimler, Fiat Chrysler Automobiles, HERE, Infineon, Intel and Volkswagen — comprise the broadest representation across the industry and have published, to date, the largest report on how to build, test, and operate safe autonomous vehicles.

The purpose of the SaFAD white paper is to emphasize the importance of safety by design, along with verification and validation, as the industry works toward creating standards for automated driving. For the first time, SaFAD offers the autonomous vehicle (AV) developers and operators a system for clear traceability that proves AVs to be “safer than the average driver,” through components such as cameras or steering systems.

Learn More

<Automatic driving safety first>

download

Main Contents

Positive Risk Balance
12 Golden Guidelines
Safety by Design

Deriving Capabilities from Dependabilities

(FuSa/SoTIF/Cybersecurity)

Elements for Implementing Capabilities

General Architecture

V&V-Testing

Key Challenges for V&V

V&V Approach for ADS

Quantity and Quality of Testing

V&V of Elements

Simulation and Field Operation

Appendix A:Development Examples
Appendix B:Using DNN to Implement Safety-Related Elements

Systematically Discuss how to Apply Related Safety Standards

Systematically Respond to Safety Challenges Brought by New Technologies and Products

Composed by 46 Safety Experts from 11 World Leading Companies

Summary

Introduction

<Reliable and Safe map for automated driving> is a technical white paper created by Baidu and Elektrobit.

The white paper integrate different safety methodologies and map related quality standards, aimed at provide technical guidance as well as the basis for the future safety standard for maps.

Learn More

<Reliable and Safe map for automated driving>

download

Reliable and safe maps

Use cases

Interrelationships between safety areas

Derivation of safety requirements

May/reality deviations as a new fault type

4 types,17 soures of map/reality deviations:

Map inaccuracies

Map data errors (9 sources)

Reality changes (4 sources)

Map update interruptions (3 sources)

Remaining challenges

Deep cooperation between leading HD map provider and safety expert