Self-driving vehicles are a rapidly growing area of research and
expertise. Theories and Practice of Self-Driving Vehicles 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.
Theories and Practice of Self-Driving Vehicles presents 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.