Advance Lane Detection — CarND

Satyasheel
5 min readFeb 25, 2017

Don’t worry mate my car knows how to follow a lane!

This post is an extension of what I wrote in my second blog on Lane Detection. This write-up will cover more on advance computer vision for lane detection.

This was the fourth project that I completed for my Udacity Self-Driving Cars Nanodegree program. My initial assumption for a reader here is that you know a little bit about the basics of a curved line (2nd order equation) and basics of computer vision.

Robust Lane Lines on Road — Introduction

For self-driving cars and autonomous robots, identifying lanes becomes a crucial part of development for smoother operation. Smoother operation! means lane identification should be robust, it should identify lanes in different conditions like in changing the light, changing the weather, different cars on the road, lane curvature and the road itself. But before diving into the algorithm for lane lines identification let’s look into the final outcome (This will give us an impression of what we are going to discuss).

How? — Algorithm

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