\u003cp\u003eSelf-driving vehicles are a rapidly growing area of research and expertise. \u003ci\u003eTheories and Practice of Self-Driving Vehicles\u003c/i\u003e presents a comprehensive introduction to the technology of self driving vehicles across the three domains of perception, planning and control. The title systematically introduces vehicle systems from principles to practice, including basic knowledge of ROS programming, machine and deep learning, as well as basic modules such as environmental perception and sensor fusion. The book introduces advanced control algorithms as well as important areas of new research. This title offers engineers, technicians and students an accessible handbook to the entire stack of technology in a self-driving vehicle.\u003c/p\u003e \u003ci\u003e \u003cp\u003eTheories and Practice of Self-Driving Vehicles \u003c/i\u003epresents an introduction to self-driving vehicle technology from principles to practice. Ten chapters cover the full stack of driverless technology for a self-driving vehicle. Written by two authors experienced in both industry and research, this book offers an accessible and systematic introduction to self-driving vehicle technology. \u003c/p\u003e\u003cul\u003e \u003cli\u003eProvides a comprehensive introduction to the technology stack of a self-driving vehicle\u003c/li\u003e \u003cli\u003eCovers the three domains of perception, planning and control\u003c/li\u003e \u003cli\u003eOffers foundational theory and best practices\u003c/li\u003e \u003cli\u003eIntroduces advanced control algorithms and high-potential areas of new research\u003c/li\u003e \u003cli\u003eGives engineers, technicians and students an accessible handbook to self-driving vehicle technology and applications\u003c/li\u003e\u003c/ul\u003e
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