tsbertalan/carnd-lanelines-p1

Lane Finding Project for Self-Driving Car ND

Finding Lane Lines on the Road

This project aims to find lane lines in video taken from a roughly hood-mounted camera. Briefly, the pipeline uses Canny edge detection, Hough transform, and k-means clustering. Sliding-window averaging is used to smooth estimates when the pipeline is applied in a video context.

Files included

• README.md: This file
• P1.ipynb: A report demonstrating the output on sample images and video, with inline explanations of the development.
• P1.pdf: A conversion of P1.ipynb with nbconvert.
• laneLines.py: All non-report code for the pipeline.
• req.txt: PIP requirements file.

Also included are the orignal sample images and videos, as well as their conversions.

• test_images: A collection of sample input images.
• test_images_output: Corresponding outputs.
• test_videos: A collection of sample input videos.
• test_videos_output: Corresponding outputs.