This is an introductory project I did for my Udacity self driving car nanodegree program. Self driving cars is one of best use case for computer vision and machine learning0, because these autonomous systems are very useful for various areas. Following are few of them.
- Reduce accidents
- Reduce traffic congestion
- Increase lane capacity
More details can be found from this link.
In this project you will learn following areas.
- Basic usage of OpenCV Python APIs
- Basic image processing techniques such as colour scale changes, colour selection
- Images edge detection user Canny edge detector (OpenCV will be used to apply these theories)
- Required images' region selection. Both hard coded and dynamic selections will be used
- Hough transformation line detection (OpenCV will be used to apply these algorithms)
This is the complete tutorials and application running instructions for this project.
Thanks :)
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