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Advanced Lanes Detection using camera calibration, gradient/colour thresholding, a bird's-eye view perspective transform, a sliding window search and quadratic polynomial fits

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Advanced_Lanes_Detection

Advanced Lanes Detection using camera calibration, a perspective transform, gradient thresholding, a sliding window search, polynomial fits and the HLS color space

  • Create an Anaconda environment using conda env create -f environment.yml --name car_environment within the repo
  • Activate the Anaconda environment using source activate car_environment
  • Run jupyter notebook P4_advanced_lanes_detection.ipynb within the repo

Starter Jupyter notebook and data provided by Udacity

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Advanced Lanes Detection using camera calibration, gradient/colour thresholding, a bird's-eye view perspective transform, a sliding window search and quadratic polynomial fits

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