Autonomous Driving Handbook
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Beschreibung
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.
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.
Introduces a comprehensive overview of cutting-edge theories in autonomous driving Summarizes autonomous driving platforms, including hardware, software, simulation, safety, V2X and more Explores advanced areas like BEV networks, occupancy networks, end-to-end solutions, and large-scale models
Autor*in
Yu Huang
Themen in »Autonomous Driving Handbook«
Autonomous driving data closed loop perception prediction planning HD map localization control end-to-end diffusion model BEV NeRF Safety Validation & verification simulation