Binding: Paperback
Description: Decision - making Techniques for Autonomous Vehicles provides a general overview of control and decision - making tools that could be used in autonomous vehicles. Motion prediction and planning tools are presented along with the use of machine learning and adaptability to improve performance of algorithms in real scenarios. The book then examines how driver monitoring and behavior analysis are used produce comprehensive and predictable reactions in automated vehicles. The book ultimately covers regulatory and ethical issues to consider for implementing correct and robust decision - making. This book is for researchers as well as Masters and Ph D students working with autonomous vehicles and decision algorithms.
Title: Decision - Making Techniques For Autonomous Vehicles
Brand: Elsevier - Health Sciences Division
Barcode: 9780323983396
Pages: 424 Pages, Approx. 200 Illustrations; Illustrations, Unspecified
Publication Date: 3/9/2023
Category: Intelligent & Automated Transport System Technology