lane-detection
Project 1 in Udacity self-driving car nanodegree: detect continuous lines that represent lanes.
Setup
Follow instructions here to set up Anaconda environment. You can verify that your environment is set up correctly using the instructions here.
Files
- P1.ipynp - Jupyter notebook with the code.
- writeup.md - description of lane line detection pipeline and algorithms.
- writeup_images - folder of images used to illustrate our algorithms.
- test_images - folder of test images, provided by Udacity.
- test_images_output - folder of test images with detected line segments, created by the code in P1.ipynb.
- test_videos - folder of test videos, provided by Udacity.
- test_videos_output - folder of test videos with detected lane lines, created by the code in P1.ipynb.
- examples - folder of example images, provided by Udacity.
Usage
After setting up the environment, open P1.ipynb in Jupyter notebook and run all the cells.