Artificial Intelligence for Autonomous Vehicles
by Sathiyaraj Rajendran, Munish Sabharwal, Yu-Chen Hu, Rajesh Kumar Dhanaraj, Balamurugan Balusamy
Preface
With the advent of advanced technologies in AI, driverless vehicles have elevated curiosity among various segments of the society. The automotive industries are at the technological uprising with Autonomous vehicle concepts. Autonomous driving is one of the crucial application areas of Artificial Intelligence (AI). Autonomous vehicles are armed with sensors, radars and cameras. This made driverless technology possible in many parts of the world. In short, our traditional vehicle driving may swing to driverless technology.
The goal of this book is to highlight the efforts as well as obstacles involved in bringing self-driving cars to fruition while offering solutions that are feasible. The book’s primary accomplishment is the collection of AI-based notions for driverless technology, which can give a risk-free, risk-clean, and more convenient means of transportation. The book begins with a brief overview of autonomous vehicles, which serves as a survey of the latest developments and the need of AI-based solutions in the present and the future. The architecture of AI-based systems for monitoring and managing autonomous cars is covered in the next part, along with topics like AI drones, using sensors to detect obstructions, and identifying driver emotions to prevent collisions. The final portion covers a variety of AI-based models, autonomous underwater vehicle control, and security and privacy concerns related to these models.
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