Autonomous Vehicles, Volume 1
eBook - PDF

Autonomous Vehicles, Volume 1

Autonomous Vehicles Volume 1

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

About this book

AUTONOMOUS VEHICLES

Addressing the current challenges, approaches and applications relating to autonomous vehicles, this groundbreaking new volume presents the research and techniques in this growing area, using Internet of Things (IoT), Machine Learning (ML), Deep Learning, and Artificial Intelligence (AI).

This book provides and addresses the current challenges, approaches, and applications relating to autonomous vehicles, using Internet of Things (IoT), machine learning, deep learning, and Artificial Intelligence (AI) techniques. Several self-driving or autonomous ("driverless") cars, trucks, and drones incorporate a variety of IoT devices and sensing technologies such as sensors, gyroscopes, cloud computing, and fog layer, allowing the vehicles to sense, process, and maintain massive amounts of data on traffic, routes, suitable times to travel, potholes, sharp turns, and robots for pipe inspection in the construction and mining industries.

Few books are available on the practical applications of unmanned aerial vehicles (UAVs) and autonomous vehicles from a multidisciplinary approach. Further, the available books only cover a few applications and designs in a very limited scope. This new, groundbreaking volume covers real-life applications, business modeling, issues, and solutions that the engineer or industry professional faces every day that can be transformed using intelligent systems design of autonomous systems. Whether for the student, veteran engineer, or another industry professional, this book, and its companion volume, are must-haves for any library.

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Yes, you can access Autonomous Vehicles, Volume 1 by Romil Rawat,Mary Sowjanya Alamanda,Syed Imran Patel,Varshali Jaiswal,Imran Khan,Allam Balaram,A. Mary Sowjanya in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Mechanical Engineering. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Contents
  5. Preface
  6. Chapter 1 Anomalous Activity Detection Using Deep Learning Techniques in Autonomous Vehicles
  7. Chapter 2 Algorithms and Difficulties for Autonomous Cars Based on Artificial Intelligence
  8. Chapter 3 Trusted Multipath Routing for Internet of Vehicles against DDoS Assault Using Brink Controller in Road Awareness (TMRBC-IOV)
  9. Chapter 4 Technological Transformation of Middleware and Heuristic Approaches for Intelligent Transport System
  10. Chapter 5 Recent Advancements and Research Challenges in Design and Implementation of Autonomous Vehicles
  11. Chapter 6 Review on Security Vulnerabilities and Defense Mechanism in Drone Technology
  12. Chapter 7 Review of IoT-Based Smart City and Smart Homes Security Standards in Smart Cities and Home Automation
  13. Chapter 8 Traffic Management for Smart City Using Deep Learning
  14. Chapter 9 Cyber Security and Threat Analysis in Autonomous Vehicles
  15. Chapter 10 Big Data Technologies in UAV’s Traffic Management System: Importance, Benefits, Challenges and Applications
  16. Chapter 11 Reliable Machine Learning-Based Detection for Cyber Security Attacks on Connected and Autonomous Vehicles
  17. Chapter 12 Multitask Learning for Security and Privacy in IoV (Internet of Vehicles)
  18. Chapter 13 ML Techniques for Attack and Anomaly Detection in Internet of Things Networks
  19. Chapter 14 Applying Nature-Inspired Algorithms for Threat Modeling in Autonomous Vehicles
  20. Chapter 15 The Smart City Based on AI and Infrastructure: A New Mobility Concepts and Realities
  21. Index
  22. EULA