Autonomous driving algorithms and Its IC Design

Autonomous driving has gained popularity due to advancements in artificial intelligence and sensors, but traditional CPUs and GPUs are insufficient for algorithm processing. Custom ASICs are expected to become mainstream due to their high computing power and low power consumption. This book discusses the theory and engineering practice of designing future-oriented autonomous driving SoC chips, covering algorithm design, deep learning models, chip optimization, and automatic driving software architecture design.

Format: Hardback
Length: 294 pages
Publication date: 10 August 2023
Publisher: Springer Verlag, Singapore

Autonomous driving has gained significant popularity in recent years due to the rapid development of artificial intelligence and the emergence of various new sensors. The implementation of autonomous driving requires new sources of sensory data, such as cameras, radars, and lidars, and the algorithm processing requires a high degree of parallel computing. Traditional CPUs have insufficient computing power, while DSPs are good at image processing but lack sufficient performance for deep learning. GPUs are good at training, but they are too "power-hungry," which can affect vehicle performance. Therefore, this book looks to the future, arguing that custom ASICs are bound to become mainstream. With the goal of ICs design for autonomous driving, this book discusses the theory and engineering practice of designing future-oriented autonomous driving SoC chips. The content is divided into thirteen chapters, the first chapter mainly introduces readers to the current challenges and research directions in autonomous driving. Chapters 2-6 focus on algorithm design for perception and planning control. Chapters 7-10 address the optimization of deep learning models and the design of deep learning chips, while Chapters 11-12 cover automatic driving software architecture design. Chapter 13 discusses the 5G application on autonomous driving. This book is suitable for all undergraduates, graduate students, and engineering technicians who are interested in autonomous driving.

Dimension: 235 x 155 (mm)
ISBN-13: 9789819928965
Edition number: 1st ed. 2023