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camera_cal
camera_cal
 
 
examples
examples
 
 
output_images
output_images
 
 
test_images
test_images
 
 
LICENSE
LICENSE
 
 
P2.ipynb
P2.ipynb
 
 
README.md
README.md
 
 
challenge_video.mp4
challenge_video.mp4
 
 
harder_challenge_video.mp4
harder_challenge_video.mp4
 
 
project_video.mp4
project_video.mp4
 
 
project_video_output.mp4
project_video_output.mp4
 
 
writeup.md
writeup.md
 
 

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Advanced Lane Finding

Udacity - Self-Driving Car NanoDegree Lanes Image

This is second project of Udacity's Self Driving Car Nanodegree. To find lane and its curvature on road, computer vision methods i.e. camera calibration, sobel, perspective transformation etc. have been used. For details see P2.ipynb and writeup

Requirnments

  • python3
  • opencv
  • jupyter notebook

Running

jupyter notebook P2.ipynb

About

Project 2 to find lane lines for self driving car

Topics

opencv computer-vision numpy python3 lane-lines lane-detection udacity-nanodegree perspective-transformation sobel-gradient lane-f

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Readme

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MIT license
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