By developing an end-to-end optical simulation pipeline including AI, we are able determine the impact of optical parameters on learning-based approaches.

We will show how to use this method?to jointly determine post-processing image rectification and optical characteristics for optimized ADAS and autonomous driving applications.

We will demonstrate that we can ease most of the image rectification processes by directly obtaining an optimized image with a camera designed according to such optical characteristics.