Autonomous Vehicles, Volume 2

Autonomous Vehicles Volume 2

Romil Rawat, Purvee Bhardwaj, Upinder Kaur, Shrikant Telang, Mukesh Chouhan, K. Sakthidasan Sankaran

• Publisher: Wiley-Scrivener
• Year: 2022
• Print ISBN: 9781394152254
• eBook ISBN: 9781394152629
• Edition: 1
• Topic: Technology & Engineering
• Subtopic: Mechanical Engineering
• Index: Technology & Engineering

AUTONOMOUS VEHICLES

The companion to Autonomous Vehicles Volume 1: Using Machine Intelligence, this second volume in the two-volume set covers intelligent techniques utilized for designing, controlling, and managing vehicular systems based on advanced algorithms of computing like machine learning, artificial intelligence, data analytics, and Internet of Things (IoT) with prediction approaches to avoid accidental damages, security threats, and theft.

Besides communicating with other vehicles, self-driving cars connected to a 5G network will also be able to communicate with different infrastructure elements that make up our roads and other transportation and communication systems. Similarly, an unmanned aerial vehicle (UAV), an aircraft without any human pilot, crew, or passengers on board, can operate under remote control by a human operator, as a remotely-piloted aircraft (RPA), or with various degrees of autonomy. These include autopilot assistance and fully autonomous aircraft that have no provision for human intervention. Transportation is a necessary, but often painful process. With fully autonomous driving, passengers will be freed to accomplish their own goals, turning the dead hours of driving into fruitful hours of learning, working, engaging, and relaxing. Similarly, UAVs can perform functions that human-operated aircraft cannot, whether because of the environment or high-risk situations.

The purpose of the book is to present the needs, designs, and applications of autonomous vehicles. The topics covered range from mechanical engineering to computer science engineering, both areas playing vital roles in programming, managing, generating alerts, and GPS position, artificial intelligence-based prediction of path and events, as well as other high-tech tools, are covered in this book, as well. Whether for the student, veteran engineer, or another industry professional, this book, and its companion volume, are must-haves for any library.

Table of contents

• Cover
• Title Page
• Copyright Page
• Contents
• Preface
• Chapter 1 A Best Fit Strategic Approach for Sample Selections of a Carrier to Minimizing Quantization Error
• Chapter 2 A Dual-Polarized Antenna With Circular Parasitic Element for Autonomous Vehicle
• Chapter 3 A Smart Vehicle Antenna for Defence and Satellite Communication
• Chapter 4 Visual Place Recognition for Simultaneous Localization and Mapping
• Chapter 5 Trust Verification Class (TVCRO) Based Communication for Enhanced of QoS in VANET Environment
• Chapter 6 Effective Congestion Control Mechanism for Smart Vehicles Using Edge Computing in VANET
• Chapter 7 Longitudinally Variant 4W4D Robot Slipagge-Based Path Tracking Control
• Chapter 8 Intelligent Autonomous Electric Car
• Chapter 9 Cluster Optimization Using Metaheuristic JAYA Algorithm for Secure VANETs
• Chapter 10 Analysis of Domestic Cars in India for Middle-Income Group Using TOPSIS
• Chapter 11 A Secure Data Authentication-Based Aerial Intelligent Relay Road Side Unit (AIR-RSU) Framework for Intelligent Tra sportation System Applications
• Chapter 12 Evaluation of Vulnerabilities in IoT-Based Intelligent Agriculture Systems
• Chapter 13 Q Learning Algorithm for Network Resource Management in Vehicular Communication Network
• Chapter 14 Reliable Transportation Solution for Urban Planning: VANET
• Chapter 15 Implementation of Veco-Taxis in Turbulent Environment for Gas Source Localization
• Chapter 16 A Technique for Monitoring Cyber-Attacks on Self-Driving Automobiles-Based VANET
• About the Editors
• Index
• EULA