Robotic Vehicles: Systems and Technology
1st Edition
Published on 6. March 2021
XXV, 196 pages
978-981-336-687-9 (ISBN)
Description
This book introduces the technological innovations of robotic vehicles. It presents the concepts required for self-driving cars on the road. Besides, readers can gain invaluable knowledge in the construction, programming, and control of the six-legged robot. The book also presents the controllers and aerodynamics of several different types of rotorcrafts. It includes the simulation and flight of the various kinds of rotor-propelled air vehicles under each of their different aerodynamics environment. The book is suitable for academia, educators, students, and researchers who are interested in autonomous vehicles, robotics, and rotor-propelled vehicles.
More details
Series
Language
English
Place of publication
Singapore
Singapore
Publishing group
Springer Singapore
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
XXV, 196 p. 131 illus., 107 illus. in color.
File size
13,02 MB
ISBN-13
978-981-336-687-9 (9789813366879)
DOI
10.1007/978-981-33-6687-9
Schweitzer Classification
Other editions
Additional editions
Tian Seng Ng
Robotic Vehicles: Systems and Technology
Book
03/2021
Springer
€149.79
Shipment within 10-15 days
Person
Mr. Tian Seng Ng has a MSc degree in Computer Control and Automation. He is a member of the technical staff at the Nanyang Technological University. He has been active in the field of flight robotics, control, and automation for almost 25 years, and has worked on gantry crane automation systems at wharves and field pumping stations in Singapore. His interest lies in the domain of control, mechatronics, autonomous systems and machine vision.
Content
Introduction.- Autonomous System Connectivity.- Embedded System Development.- Autonomous Vehicle Data Processing.- Vehicle Components.- Vehicle Navigation Computing.- Vehicle Test Drive and Simulation.- Advanced Chip Driven Electronics.- Sensors and Vision System Fusions.- V2V and V2X Communication.- Deep Learning and Neural Network Algorithms.- ADAS in Autonomous Driving.
