We will elaborate on how our holistic approach to design and validation creates a single environment to engineer and experience the autonomous vehicle. From Cognitive Augmented Design & Model Based System Engineering to realistic validation at scale, AI is enabling AV developers to increase safety while managing the costs of ever-increasing complexity.
The greatest challenge regarding simulation is finding the matrix that compares it to real life. In this session, Danny will present a mathematical matrix that defines this relation and show how a proper simulation can be constructed based on deep learning techniques. He will also supply live examples of the Cognata simulation platform.
Realistic automotive simulation platforms, where virtual cars travel virtual roads in virtual cities in remarkably true-to-life conditions, will be a vital part of developing and testing autonomous vehicles. The technology behind the Cognata simulation engine is heavily based on Deep Learning, computer vision and other advanced AI methods. In this session we will present a cloud based simulation engine, how it works and how to develop with it.