Hough transform is a feature extraction algorithm widely used in the field of object detection and image processing. It employs a voting procedure where all edge pixels vote to identify a certain class of shapes in the image. Classical Hough transform is designed to detect straight lines, but with some modification it can be used to detect other arbitrary shapes (usually circles and ellipses). In this application, we will implement the Hough Line Transform and use it to extract straight lines from an image of a traffic lane. An interesting fact about line detection is that the technique is being actively studied in research of self-driving cars, where image of lanes/roadways is processed to adjust the car's motion.