Udacity Self-Driving Car Nanodegree Project 1 — Finding Lane Lines
<p>Identifying lanes on the road is a common task performed by all human drivers to ensure their vehicles are within lane constraints when driving, so as to make sure traffic is smooth and minimize chances of collisions with other cars due to lane misalignment.</p>
<p>Similarly, it is a critical task for an autonomous vehicle to perform. It turns out that recognizing lane markings on roads is possible using well known computer vision techniques. Some of those techniques will be covered below.</p>
<p>The goal of this project, the first of Term 1 of the <a href="https://www.udacity.com/course/self-driving-car-engineer-nanodegree--nd013" rel="noopener ugc nofollow" target="_blank">Udacity Self Driving Car Engineer Nanodegree</a>, is to create a pipeline that finds lane lines on the road using Python and OpenCV.</p>
<p><a href="https://medium.com/computer-car/udacity-self-driving-car-nanodegree-project-1-finding-lane-lines-9cd6a846c58c"><strong>Website</strong></a></p>