Cognitive Computing for Smart Automotive Transportation

Technology and Applications
1. Auflage 2025
ISBN: 978-1-032-48740-3
Verlag: Taylor & Francis Ltd

Buch, Englisch, 192 Seiten, Format (B × H): 156 mm x 234 mm

Reihe: Chapman & Hall/CRC Internet of Things

The 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.

• 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.

Zielgruppe

Academic, Postgraduate, and Undergraduate Advanced

Autoren/Hrsg.

Naganathan, Archana

Kanagachidambaresan, G. R.

Jayarajan, Niresh

Williamson, Sheldon S.

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Spiele-Programmierung, Rendering, Animation
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Ambient Intelligence, RFID, Internet der Dinge
• Mathematik | Informatik EDV | Informatik Technische Informatik
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken

Inhaltsverzeichnis

1. A Research on Security and Privacy Issues in IoV enabled Smart Transportation Systems 2. Smart Mobility: Cognitive Computing in Modern Transportation Systems 3. Internal Combustion Engine Simulations in the Era of High-Performance Computing 4. Fault Detection & Tolerance In Dynamic Control 5. Connected Cars, Connected Cities: The Rise of Smart Mobility 6. Analysis of Cognitive Internet of vehicles and its challenges

Über Autor(innen)

G. R. Kanagachidambaresan is a Professor in Department of Computer Science and Engineering in Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology. He has completed his PhD in 2017 in Anna University and presently handling funded projects from ISRO, DBT and DRDO. He has authored books and article in the area of IoT, Wireless Networks and Expert systems. He has completed several consultancies works for leading MNC companies. He is the managing Director for Eazythings Technology Private limited and TEC committee member for DBT. He is also the Editor in chief for Next Generation Computing and Communication Engineering series.

Archana Naganathan is an Assistant Professor in the Department of Electrical and Electronics Engineering, PSG College of Technology, Coimbatore, India, for the past 13 years. Her research interests cover the areas of Power Electronics, Optimisation techniques and Hybrid Electric Vehicles. She has received travel grant from DST for international Conference and has completed a DST project on Deep learning based animal intrusion detection system with a grant of 30 Lakhs and currently working on an IIT-IPTIF project in the area of Edge AI. She has published a patent in the area of power converters for electric vehicle charging and has published around 40 papers in various journals and conferences and has authored 4 books. She received a PhD degree from Anna University, Chennai, India, in 2017.

Niresh Jayarajan holds a doctorate degree in the field of optimization and is with PSG College of Technology since 2011. His areas of research include Electric & Hybrid Vehicles, Automotive Electronics and Optimization by using soft computing techniques, Unmanned Aerial Vehicles. He is guiding doctoral scholars in the area of UAVs & Electric Vehicle. He serves as a reviewer for prestigious journals including Elsevier and springer publication. He has published around 58 International/ National Journals and around 7 National/International conferences in NIT/IIT institutes. In accordance, he has also published 7 books under reputed publishing banner.

Sheldon S. Williamson (Fellow, IEEE) received a B.E. degree (Hons.) in electrical engineering from the University of Mumbai, Mumbai, India, in 1999, and the M.S. and Ph.D. degrees (Hons.) in electrical engineering from the Illinois Institute of Technology, Chicago, IL, USA, in 2002 and 2006, respectively. He is a Professor with the Department of Electrical, Computer, and Software Engineering and the Director of Smart Transportation Electrification and Energy Research (STEER) Group, Faculty of Engineering and Applied Sciences, Ontario Tech University, Oshawa, ON, Canada. His research interests include advanced power electronics, electric energy storage systems, and motor drives for transportation electrification. He holds the prestigious NSERC Canada Research Chair position in electric energy storage systems for transportation electrification.