Summary

In this chapter, we learned about object detection, which is an important aspect of autonomous vehicles. We used a popular pre-trained model called YOLO. Then, we created a software pipeline to perform object predictions on both images and videos and also saw the high quality of YOLO's performance.

This is the last hands-on implementation in this book. In the next chapter, we will read about the next steps to follow in the field of self-driving cars. We will also learn about sensor fusion.