Finding Lane Lines on the Road

Overview

This project is an amalgamation of Python, OpenCV and my growing love for CV ;)

Pipeline used for lane line detection :

Input Image
Converting to Grayscale
Gaussian Blur
Canny edge detection
ROI selection
Hough Lines detection

Installations

Install Anaconda on your local setup (Choose Python 3 version - Link)
Create an environment (More on environments here) Open cmd and type - > conda create --name myenv This will create an environment with default python version, which is Python 3 for this project.
Activate the environment, using > activate myenv
Install Libraries : OpenCV : > conda install -c conda-forge opencv moviepy (used in this project to work with videos): > pip install moviepy

Each stage result

Input Image

Grayscaled Image

Gaussian Blurred Image

Canny Edge Detection

ROI Selection

Hough Lines

Final Output

Extrapolatoin of line segments

All the line segments are divided into left_lane_lines and right_lane_Lines using slopes of the lines
A line is fitted to both sets resulting in one line for each side

Improved Hough Lines

Improved Final Output

HSV Color Space

When working with images and color selection HSV color space becomes quite handy (Learn more about HSV and HSL color space here). Using Hue Saturation Value color space and cv2.inRange() function we can select any color range from image. This technique is used for final challenge video.

License

thisisbhavin/Lane-line-detection-using-OpenCV

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