Autonomous Vehicles, Volume 1
eBook - ePub

Autonomous Vehicles, Volume 1

Autonomous Vehicles Volume 1

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

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