SOTIF has been Postponed - we will now be hosting the conference August 19 - 21, 2020

SOTIF is Coming to Detroit

ADAS and highly automated driving systems are the future, but how do we ensure they’re safe?

Born out of part 14 of ISO 26262, ISO/PAS 21448 seeks to fill the gaps left by the original, hardware-focused standard. The SOTIF 2020 Summit will tackle the burning questions and challenges that the new standard has created for the industry.

Our audience will enable systems architecture, sensor fusion, software, ADAS, simulation, testing and validation engineers to meet with Chief Product Officers, Directors of Engineering, and the leaders that created the ISO/PAS 21448 standard.

Join your colleagues for this three-day event which will encompass themes like tailored technical guidance on the design, verification and validation measures needed to achieve SOTIF. Learn how this will impact engineering life cycles, and what work is being done in-industry to address the safety of AI/ML. Meet with organizations who have published research on autonomous vehicle safety and how they’re evolving standards for testing Deep Neural Networks (DNN). Whether you’re a budding innovator or an established OEM or Tier 1 organization, you will be able to walk away with a more robust understanding of achieving SOTIF, and how to balance innovation and safety amid evolving standards. Don’t leave without making new connections with attendees and solutions providers in functional safety, simulation, semiconductors, AI, and ML.

Be a part of forming SOTIF for the next generation of vehicles – register to attend today.

Sotif 2020 speakers

WHY ATTEND?

Share, connect, and learn from OEMs, Tier 1 companies, and disruptors.

stay ahead of the curve

Take time to learn about the different emerging autonomous vehicle standards, to balance innovation and safety amid evolving frameworks.

case
 studies

Hear about the latest research on autonomous vehicle safety and how organizations are evolving standards for testing
Deep Neural Networks (DNN).


address safety of AI/ML

Achieve situational awareness to deliver safe and aware autonomous vehicles.