Beschreibung
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.
Autorenporträt
A technology enthusiast keen on bridging the gap between Autonomous driving and Virtual driving simulators using Modern Machine learning.
