NVIDIA: : How We Taught Neural Nets to Predict Lane Lines

Lane markings are critical guides for autonomous vehicles, providing vital context for where they are and where they’re going. That’s why detecting them with pixel-level precision is fundamentally important for self-driving cars. To begin with, AVs need long lane detection range — which means the AV system needs to perceive lanes at long distances from the ego car, or the vehicle in which the perception algorithms are operating. Detecting more lane line pixels near the horizon in the image adds tens of meters to lane-detection range in real life.