(Wiley - IEEE) 1st Edition
by Shaoshan Liu (Author)
Offers a step-by-step guide to building autonomous vehicles and robots, with source code and accompanying videos
The
first book of its kind on the detailed steps for creating an autonomous
vehicle or robot, this book provides an overview of the technology and
introduction of the key elements involved in developing autonomous
vehicles, and offers an excellent introduction to the basics for someone
new to the topic of autonomous vehicles and the innovative,
modular-based engineering approach called DragonFly.
Engineering Autonomous Vehicles and Robots: The DragonFly Modular-based Approach
covers everything that technical professionals need to know about: CAN
bus, chassis, sonars, radars, GNSS, computer vision, localization,
perception, motion planning, and more. Particularly, it covers Computer
Vision for active perception and localization, as well as mapping
and motion planning. The book offers several case studies on the
building of an autonomous passenger pod, bus, and vending robot. It
features a large amount of supplementary material, including the
standard protocol and sample codes for chassis, sonar, and radar. GPSD
protocol/NMEA protocol and GPS deployment methods are also provided.
Most importantly, readers will learn the philosophy behind the DragonFly
modular-based design approach, which empowers readers to design and
build their own autonomous vehicles and robots with flexibility and
affordability.
- Offers progressive guidance on building autonomous vehicles and robots
- Provides detailed steps and codes to create an autonomous machine, at affordable cost, and with a modular approach
- Written by one of the pioneers in the field building autonomous vehicles
- Includes case studies, source code, and state-of-the art research results
- Accompanied
by a website with supplementary material, including sample code for
chassis/sonar/radar; GPS deployment methods; Vision Calibration methods
Engineering Autonomous Vehicles and Robots is an excellent book for students, researchers, and practitioners in the field of autonomous vehicles and robots.
