CarND Term1 Starter Kit

Lane Line Dectection

Linux

transfrom the img from RGB to HSV.
recognise the yellow color and white color in HSV image.(yellow and white are different)
transform to GRAY
gaussian blur
detect edges using canny
get ROI, and then apply to edges.
hough transform to detect lines.
draw lines in the image. Please remember that the edges in the road are continuously！

The purpose of this project is to provide unified software dependency support for students enrolled in Term 1 of the Udacity Self-Driving Car Engineer Nanodegree.

Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
.ipynb_checkpoints		.ipynb_checkpoints
test_images		test_images
.gitignore		.gitignore
LICENSE.md		LICENSE.md
README.md		README.md
challenge.mp4		challenge.mp4
extra.mp4		extra.mp4
lane_line_detection.ipynb		lane_line_detection.ipynb
solidWhiteRight.mp4		solidWhiteRight.mp4
solidYellowLeft.mp4		solidYellowLeft.mp4
white.mp4		white.mp4
yellow.mp4		yellow.mp4