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In this project , Car lanes are detected on a sample road video & image by using opencv_techniques and concepts

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rishabh547/Lane_Detection_using_opencv

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Lane_Detection_using_opencv

In this project , Car lanes are detected on a sample road video & image by using opencv_techniques and concepts, it is done in 3 parts.

Concepts used :

1 Grayscaling Images (Easier to apply Blur and edge detection on grayscaled image)
2 Gaussian Blur (to reduce video & image noise)
3 Canny edge Detection (to detect wide range of edges using inbuilt multi-stage algorithm)
4 Region of interest & Masking (To mask out the region that wasn't concerned with the road lanes)
5 Hough line transform method (To draw lines on lanes by detecting them based on arguments provided)

First Step: Determining region of interest on a particular image frame

Figure_1

Second Step : Identifying lanes on the cropped image obtained

Figure_2

Finally : Testing Lane detection on a Video Sample.

Recording.12.mp4

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In this project , Car lanes are detected on a sample road video & image by using opencv_techniques and concepts

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