Autonomous Car: Advanced lane detection
The goals / steps of this project are the following: Compute the camera calibration matrix and distortion coefficients given a set of chessboard images. Apply a distortion correction to raw images. Use color transforms, gradients, etc., to create a thresholded binary image. Apply a perspective transform to rectify binary image (“birds-eye view”). Detect lane pixels and fit to find the lane boundary. Determine the curvature of the lane and vehicle position with respect to center....