With the ever-growing industry applications of Machine learning and
Artificial Intelligence, the need for detailed datasets for training
such machine learning-based algorithms is also increasing. To make the
Autonomous driving cars deployable onto roads, we need massive datasets
with all kinds of scenarios. This costs a lot of time and resources,
hence, demanding ways to speed up and automatize this process. With the
development of more advanced virtual driving simulators, we can
capitalize on such simulators to quench the need for such diverse
datasets. However, this comes with new challenges that have not been
addressed so far in the literature. This book focuses on utilizing such
driving simulators and addresses such challenges both from game
development and machine learning point of view.