In this chapter, we learned about sensor fusion. Sensor fusion is the next step after collecting all of the sensor data. This book taught you about one of the most important types of sensors available: cameras. We also learned about deep learning networks that enable camera sensors to function, and are also useful for making predictions from the data generated by other types of sensors. Finally, we learned about Kalman filters.
The overall goal of this book was to introduce you to the field of SDCs and to help you prepare for a future in the industry.
Here is a quick summary of the chapters we covered in this book:
In Chapter 1, The Foundations of Self-Driving Cars, we addressed the complicated path of how SDCs are becoming a reality. We discovered that SDC technology has existed for decades. We learned how it has evolved and learned about advanced research on the topic as a result of modern computational power. We also learned about the advantages and disadvantages...