Autonomous and Connected Heavy Vehicle Technology 1st Edition

Autonomous and Connected Heavy Vehicle Technology 1st Edition- Ebook Instant Download/Delivery ISBN(s): 9780323905923,0323905927,9780323907156, 0323907156

Product details:

• ISBN-10 ‏ : ‎ 0323907156
• ISBN-13 ‏ : ‎ 9780323907156
• Author: Rajalakshmi Krishnamurthi, Fatos Xhafa, Adarsh Kumar, Sukhpal Singh Gill

Autonomous and Connected Heavy Vehicle Technology presents the fundamentals, definitions, technologies, standards and future developments of autonomous and connected heavy vehicles. This book provides insights into various issues pertaining to heavy vehicle technology and helps users develop solutions towards autonomous, connected, cognitive solutions through the convergence of Big Data, IoT, cloud computing and cognition analysis. Various physical, cyber-physical and computational key points related to connected vehicles are covered, along with concepts such as edge computing, dynamic resource optimization, engineering process, methodology and future directions.

Table contents:

Chapter 1: Lightweight and heavyweight technologies for autonomous vehicles: A survey

Chapter 2: Cybercrimes and defense approaches in vehicular networks

Chapter 3: Autonomous driving systems and experiences: A comprehensive survey

Chapter 4: Applications of blockchain in automated heavy vehicles: Yesterday, today, and tomorrow

Chapter 5: Eco-routing navigation systems in electric vehicles: A comprehensive survey

Chapter 6: Automatic vehicle number plate detection and recognition systems: Survey and implementation

Chapter 7: A secured IoT parking system based on smart sensor communication with two-step user verification

Chapter 8: Man-and-wife coupling and need for artificially intelligent heavy vehicle technology in The Long, Long Trailer

Chapter 9: Pulse oximeter-based machine learning models for sleep apnea detection in heavy vehicle drivers

Chapter 10: Using wavelet transformation for acoustic signal processing in heavy vehicle detection and classification

Chapter 11: Congestion control mechanisms in vehicular networks: A perspective on Internet of vehicles (IoV)

Chapter 12: Smart traffic light management system for heavy vehicles

Chapter 13: Smart automated system for classification of emergency heavy vehicles and traffic light controlling

Chapter 14: Implementation of a cooperative intelligent transport system utilizing weather and road observation data

Chapter 15: Heavy vehicle defense procurement use cases and system design using blockchain technology

Chapter 16: Cybercriminal approaches in big data models for automated heavy vehicles

Chapter 17: Modeling fuel economy of connected vehicles using driving context

Chapter 18: Conceptual design and computational investigations of fixed wing unmanned aerial vehicle for medium-range applications

Chapter 19: Multi-sensor fusion in autonomous heavy vehicles

Chapter 20: Smart vehicle accident detection for flash floods

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