In this chapter, we learned about behavioral cloning. We downloaded the Udacity open source simulator, ran the car in manual mode, and collected the data. Later, we cloned the model using the deep learning architecture provided by NVIDIA. We also applied various computer vision techniques as part of our data preparation process. In the end, our autonomous car drove smoothly. We hope you enjoyed building an autonomous car!
In the next chapter, we will learn about object detection. We are going to use a popular pre-trained model called YOLO and implement a deep learning project for vehicle detection.
