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Full Description
As the development of autonomous driving is in its infancy, more and more companies, engineers, scientists, and students are entering or planning to enter this field. As a practitioner who has been deeply involved in computer software, computer vision, and machine learning for decades and has entered the front line of research and development in this emerging technology field, we want to systematically introduce the cutting-edge technical theories of autonomous driving to the newcomers. Since autonomous driving contains too much content, with limited pages, the focus of this book is on the introduction of cutting-edge technologies, especially the tracking of some current hot spots in autonomous driving, such as sensor fusion for perception, maps and localization, driving behavior learning and prediction, end-to-end planning and control, BEV and occupancy perception, neural rendering and Gaussian splatting, large scale models and AI agent-based autonomous driving technology.
The translation was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content.
Contents
Chapter 1 Overview of Autonomous Driving Systems.- Chapter 2 Basic Theory of Autonomous Driving.- Chapter 3 Hardware Platform for Autonomous Driving.- Chapter 4 The Software Platform for Autonomous Driving.- Chapter 5 Perception Module of Autonomous Driving.- Chapter 6 High-Definition Map for Autonomous Driving.- Chapter 7 Localization Module for Autonomous Driving.- Chapter 8 Planning Module for Autonomous Driving.- Chapter 9 Control Module for Autonomous Driving.- Chapter 10 Simulation Module for Autonomous Driving.- Chapter 11 Safety Model.- Chapter 12 System Integration, Validation and Verification (V&V).- Chapter 13 Automatic and Autonomous Parking.- Chapter 14 Vehicle Networking.- Chapter 15 Neural Rendering Technology.- Chapter 16 Diffusion Models.- Chapter 17 Large Scale Models in Autonomous Driving.- Chapter 18 Ethics and Legal Aspects.