Autonomous Driving Algorithms And Its Ic Design
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Autonomous driving algorithms and Its IC Design
With the rapid development of artificial intelligence and the emergence of various new sensors, autonomous driving has grown in popularity in recent years. 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. In this regard, traditional CPUs have insufficient computing power, while DSPs are good at image processing but lack sufficient performance for deep learning. Although GPUs are good at training, 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 drving. This book is suitable for all undergraduates, graduate students, and engineering technicians who are interested in autonomous driving.
International Conference on Smart Environment and Green Technologies – ICSEGT2024
Author: Fahreddin Sadikoglu Mammadov
language: en
Publisher: Springer Nature
Release Date: 2025-01-04
This book compiles state-of-the-art studies and real-world applications in ecosystems and smart environments. It covers important subjects like creating a sustainable economy, green and renewable energy, and IoT-powered industrial and agricultural systems. Along with providing insights into theory, modelling, and the deployment of smart cities and infrastructure, the book also examines the use of AI in the earth and environmental sciences and economy. The book is intended to be a priceless tool for scholars, professionals, and recent graduates. It acts as a manual and source of inspiration for promoting environmentally friendly technologies and sustainable solutions. It opens the door for creating intelligent systems that maximise resource use, reduce carbon footprints, and enhance general quality of life by incorporating the most recent technological developments.
5G/6G Advancements in Communication Technologies for Agile Management
The rapid evolution of communication technologies has led to the emergence of 5G and 6G networks, set to transform how we connect, interact, and manage our digital lives. As we approach this new era, it is essential to examine the advancements, challenges, and opportunities these networks offer. Understanding their potential impact will be key to navigating the future of digital communication. 5G/6G Advancements in Communication Technologies for Agile Management presents a holistic view of the 5G and 6G landscape, covering the foundational technologies, architectural innovations, and agile management strategies that ware shaping the future of communication networks. It delves into the technical aspects of 5G and 6G, discussing the core of emerging technologies, spectrum management, security, and privacy considerations. Covering topics such as artificial intelligence (AI), digital divide, and workforce skills, this book is an excellent resource for researchers, engineers, network operators, industry professionals, academicians, graduate and postgraduate students, and more.