Drive-able Road Detection for Indian Roads through Image Processing

Jui Shah

Jui Shah

Ahmedabad, Gujarat

2 1
  • 0 Collaborators

This code segments out the drivable portion of the road from the surrounding with the help of open-CV library. Indian-roads face the fading of lanes, unsmooth road surfaces. So, this project directly takes use of the pixel-values of the road to segment out the drivable portion of the road. ...learn more

Project status: Published/In Market

PC Skills

Intel Technologies
Other

Code Samples [1]

Overview / Usage

Indian Roads face fading of lanes, unsmooth surfaces and a large number of potholes. Hence, road-lane detection techniques exists but they do not work for Indian-roads . This project solves the problem and detects drivable road from traffic cameras.

Methodology / Approach

I am using the already available video camera feeds available at all cross-road intersection in India (now that there are strict traffic laws) to solve the problem of detecting drive-able road surface and inspection of road surfaces.

Technologies Used

1.Numpy library

2.OpenCV library(cv2)

3.Matplotlib library

4.Python 3.6

5.Intel Core i5 8th Gen

Repository

https://github.com/shahjui2000/Drive-able-Road-Detection

Comments (1)