Originally published at: Explaining How End-to-End Deep Learning Steers a Self-Driving Car | NVIDIA Technical Blog
As part of our autonomous driving research, NVIDIA has created a deep-learning based system, known as PilotNet, which learns to emulate the behavior of human drivers and can be deployed as a self-driving car controller. PilotNet is trained using road images paired with the steering angles generated by a human driving a data-collection car. It derives the…
Great post! Thanks for sharing.
I have a question though. How does a self driving car handles multi-path situations such as a T-point or a road intersection?
What is the mechanism to turn left or right in case of these situations?