Self-driving cars

Lane detection

In this project we created a state-of-the-art road-lane detector for autonomous vehicles. To develop a robust and accurate system, we used a broad set of techniques: deep learning, robust statistics, convex optimization. This system is the only one in the market that does not require any human-labeled data for training. Manually labeling a dataset consisting of millions of frames from a video-stream is extremely expensive. The semi-supervised machine learning approach that we developed heavily relies on spatial and temporal statistical properties of the video-stream data from the vehicle’s camera.