Neural Networks in Self-Driving

Rasmus delves into the potential of using convolutional neural networks for self-driving cars, highlighting the challenge of converting segmentation maps into a differentiable graph. He discusses the structure of the architecture and the need for a glue layer to enable reasoning about objects like pedestrians and stop signs.