This chapter explained how to find road markings in images and videos using OpenCV techniques. This is a starter project where we have implemented a road-marking detection software pipeline using OpenCV. We have applied various techniques, such as canny edge detection, the Hough transform, and grayscale conversion, which we covered in Chapter 4, Computer Vision for Self-Driving Cars.
In the next chapter, we will look at how to use deep learning to handle image data, starting with convolutional neural networks. We will learn about the underlying concepts of convolution neural networks and implement a traffic sign classifier.
