Internet of Things (IoTs) are now being integrated at a large scale in fast-developing applications such as healthcare, transportation, education, finance, insurance and retail. The next generation of automated applications will command machines to do tasks better and more efficiently. Both industry and academic researchers are looking at transforming applications using machine learning and deep learning to build better models and by taking advantage of the decentralized nature of Blockchain. But the advent of these new technologies also brings very high expectations to industries, organisations and users. The decrease of computing costs, the improvement of data integrity in Blockchain, and the verification of transactions using Machine Learning are becoming essential goals.

The automation of road vehicles is still developing, moving towards improved technology, safety, energy and fuel efficiency, comfort, economic growth, and real-world applications. Vehicle connectivity and information exchange over the road is an essential requirement for the future of automated driving. This book is intended to help bridge the gap between theory and applications of autonomous vehicles.