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Software Development for AI, Active Safety and Autonomous Driving Technology

Video Case Study: Software Development for AI, Active Safety and Autonomous Driving Technology

Fill in the form below to view the case study from Jonas Ekmark, Product Area Owner, New Technology, ZENUITY.

Zenuity

As we are approaching the age of self-driving vehicles, it becomes clear that deep learning will play an important role. It can quickly provide impressive results, which have been demonstrated in many prototype vehicles. But, in order to be able to bring a self-driving vehicle in the hands of a customer, challenging safety requirements have to be met at the same time.

In his exclusive keynote, Jonas outlines how works with deep learning while simultaneously assuring safety and enabling agile software development.

 Case Study Highlights

  • What is most difficult in designing self-driving cars
  • How to prove an AV is sufficiently safe?
  • Safety case arguments

If you want to go deeper, join us at the Auto.AI Europe. Take a look at the agenda for more information.

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