CarND-LaneLines-P1 | Applying simple CV techniques to detect straight lane lines

CarND-LaneLines-P1 is a Jupyter Notebook library. CarND-LaneLines-P1 has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

My pipeline consists of 6 steps. Color filter. The first step is a filter to extract only white and yellow parts of the image that might correspond to lane lines. Mask. The second step is a mask that filters out space where a line line could not be. Gaussian Blur. The third steps adds gaussian blur to remove high frequency noise and prepare the image for edge detection Canny edge detector. The fourth filter applies canny edge detection to identify all the edges in the image. Hough detector. The fifth filter applies the hough transform to detect which of these points form lines. Linear regression. The sixth filter performs linear regression upon the Hough detected points to extraplote a continous line.