This application marks lanes on dashcam videos and calculates the position of the car/curvature of the lane
Python OpenCV Library
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Compute the camera calibration matrix and distortion coefficients given a set of chessboard images shot by the camera.
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Apply a distortion correction to raw images (straight the curved lines).
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Use color transforms, gradients, etc., to create a thresholded binary image.
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Apply a perspective transform to rectify binary image ("birds-eye view").
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Detect lane pixels and fit to find the lane boundary.
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Determine the curvature of the lane and vehicle position with respect to center.
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Warp the detected lane boundaries back onto the original image.
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Output visual display of the lane boundaries and numerical estimation of lane curvature and vehicle position.
