This reference book explores the integration of cognitive computing technologies in the automotive industry to enhance smart transportation systems. It focuses on how AI, machine learning, and data analytics can improve vehicle automation, safety, and efficiency. Automation can support driverless vehicle transportation and bridge the gap between manual control and fully automated navigation systems. The text introduces a discussion on numerous applications of cognitive computing in smart transportation, motion planning, situation awareness, dynamic driving, adaptive behavior, human intent measurement, and predictive analysis.

Key Features:

• Discusses basic concepts and architecture of cognitive computing for vehicular systems.

• Presents technologies to measure human intent for vehicle safety, including emergency management systems (EMS).

• Covers the perception and localization processes in autonomous driving through LiDAR, GPS, and Stereo vision data with critical decision?making and simulation results.

• Elucidates the application of motion planning for smart transportation.

• Covers visual perception technologies for advanced driver assistance systems (ADAS) through deep learning.

The text is primarily written for graduate students, academic researchers, and professionals in the fields of computer science, electrical engineering, automotive engineering, and civil engineering.

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Yes, you can access Cognitive Computing for Smart Automotive Transportation by G. R. Kanagachidambaresan,Archana Naganathan,Niresh Jayarajan,Sheldon S. Williamson in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Year

eBook ISBN

Topic

Subtopic

Computer Science General

Index

Computer Science

Cover
Half Title
Series Page
Title Page
Copyright Page
Dedication
Table of Contents
Preface
About the Authors
List of Contributors
Chapter 1 Research on Security and Privacy Issues in IoV-Enabled Smart Transportation Systems
Chapter 2 Smart Mobility: Cognitive Computing in Modern Transportation Systems
Chapter 3 Internal Combustion Engine Simulations in the Era of High-Performance Computing
Chapter 4 Fault Detection and Tolerance in Dynamic Control: Enhancing System Reliability and Performance through Dynamic Fault Detection and Tolerance Mechanisms
Chapter 5 Connected Cars, Connected Cities: The Rise of Smart Mobility
Chapter 6 Analysis of Cognitive Internet of Vehicles and Its Challenges
Index

About this book

Frequently asked questions

Information

Table of contents