Lane Lines Detection
This is a project for the Digital Image Processing course, based on the Udacity Self-Driving Car Nanodegree. It consists in building a pipeline to detect lane lines in a video shoot from a moving vehicle. In the first part, we focus on detecting straight lines in a simpler situation, while in the second part we focus on typical problems, such as correcting distorted images, perform perspective transformations and detecting also curved lines.
The project
A detailed description of the project can be found in the IPython notebooks:
- Base lane lines detection (Edge detection, Hough transform)
- Advanced lane lines detection (Camera calibration, distortion correction, perspective transformations)
