
Autonomous Vehicles, Volume 1
Autonomous Vehicles Volume 1
- English
- PDF
- Available on iOS & Android
Autonomous Vehicles, Volume 1
Autonomous Vehicles Volume 1
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.
Frequently asked questions
- Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
- Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Information
Table of contents
- Cover
- Title Page
- Copyright Page
- Contents
- Preface
- Chapter 1 Anomalous Activity Detection Using Deep Learning Techniques in Autonomous Vehicles
- Chapter 2 Algorithms and Difficulties for Autonomous Cars Based on Artificial Intelligence
- Chapter 3 Trusted Multipath Routing for Internet of Vehicles against DDoS Assault Using Brink Controller in Road Awareness (TMRBC-IOV)
- Chapter 4 Technological Transformation of Middleware and Heuristic Approaches for Intelligent Transport System
- Chapter 5 Recent Advancements and Research Challenges in Design and Implementation of Autonomous Vehicles
- Chapter 6 Review on Security Vulnerabilities and Defense Mechanism in Drone Technology
- Chapter 7 Review of IoT-Based Smart City and Smart Homes Security Standards in Smart Cities and Home Automation
- Chapter 8 Traffic Management for Smart City Using Deep Learning
- Chapter 9 Cyber Security and Threat Analysis in Autonomous Vehicles
- Chapter 10 Big Data Technologies in UAV’s Traffic Management System: Importance, Benefits, Challenges and Applications
- Chapter 11 Reliable Machine Learning-Based Detection for Cyber Security Attacks on Connected and Autonomous Vehicles
- Chapter 12 Multitask Learning for Security and Privacy in IoV (Internet of Vehicles)
- Chapter 13 ML Techniques for Attack and Anomaly Detection in Internet of Things Networks
- Chapter 14 Applying Nature-Inspired Algorithms for Threat Modeling in Autonomous Vehicles
- Chapter 15 The Smart City Based on AI and Infrastructure: A New Mobility Concepts and Realities
- Index
- EULA