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Advances in AI and Autonomous Vehicles: Cybernetic Self-Driving Cars

Advances in AI and Autonomous Vehicles: Cybernetic Self-Driving Cars
Author: Lance Eliot
Publisher: Lbe Press Publishing
Total Pages: 250
Release: 2017-07
Genre:
ISBN: 9780692915172

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This ground-breaking and insider look at cybernetic self-driving cars provides a state-of-the-art exploration of how advances in AI and machine learning are enabling the advent of self-driving cars.


Artificial Intelligence for Autonomous Vehicles

Artificial Intelligence for Autonomous Vehicles
Author: Sathiyaraj Rajendran
Publisher: John Wiley & Sons
Total Pages: 208
Release: 2024-02-27
Genre: Computers
ISBN: 111984763X

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With the advent of advanced technologies in AI, driverless vehicles have elevated curiosity among various sectors of society. The automotive industry is in a technological boom with autonomous vehicle concepts. Autonomous driving is one of the crucial application areas of Artificial Intelligence (AI). Autonomous vehicles are armed with sensors, radars, and cameras. This made driverless technology possible in many parts of the world. In short, our traditional vehicle driving may swing to driverless technology. Many researchers are trying to come out with novel AI algorithms that are capable of handling driverless technology. The current existing algorithms are not able to support and elevate the concept of autonomous vehicles. This addresses the necessity of novel methods and tools focused to design and develop frameworks for autonomous vehicles. There is a great demand for energy-efficient solutions for managing the data collected with the help of sensors. These operations are exclusively focused on non-traditional programming approaches and depend on machine learning techniques, which are part of AI. There are multiple issues that AI needs to resolve for us to achieve a reliable and safe driverless technology. The purpose of this book is to find effective solutions to make autonomous vehicles a reality, presenting their challenges and endeavors. The major contribution of this book is to provide a bundle of AI solutions for driverless technology that can offer a safe, clean, and more convenient riskless mode of transportation.


Driverless

Driverless
Author: Hod Lipson
Publisher: MIT Press
Total Pages: 323
Release: 2017-09-15
Genre: Transportation
ISBN: 0262534479

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When human drivers let intelligent software take the wheel: the beginning of a new era in personal mobility. “Smart, wide-ranging, [and] nontechnical.” —Los Angeles Times “Anyone who wants to understand what's coming must read this fascinating book.” —Martin Ford, New York Times bestselling author of Rise of the Robots In the year 2014, Google fired a shot heard all the way to Detroit. Google's newest driverless car had no steering wheel and no brakes. The message was clear: cars of the future will be born fully autonomous, with no human driver needed. In the coming decade, self-driving cars will hit the streets, rearranging established industries and reshaping cities, giving us new choices in where we live and how we work and play. In this book, Hod Lipson and Melba Kurman offer readers insight into the risks and benefits of driverless cars and a lucid and engaging explanation of the enabling technology. Recent advances in software and robotics are toppling long-standing technological barriers that for decades have confined self-driving cars to the realm of fantasy. A new kind of artificial intelligence software called deep learning gives cars rapid and accurate visual perception. Human drivers can relax and take their eyes off the road. When human drivers let intelligent software take the wheel, driverless cars will offer billions of people all over the world a safer, cleaner, and more convenient mode of transportation. Although the technology is nearly ready, car companies and policy makers may not be. The authors make a compelling case for why government, industry, and consumers need to work together to make the development of driverless cars our society's next “Apollo moment.”


Autonomous Vehicles, Volume 1

Autonomous Vehicles, Volume 1
Author: Romil Rawat
Publisher: John Wiley & Sons
Total Pages: 324
Release: 2022-11-30
Genre: Technology & Engineering
ISBN: 1119871964

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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.


Autonomous Vehicle Driverless Self-Driving Cars and Artificial Intelligence

Autonomous Vehicle Driverless Self-Driving Cars and Artificial Intelligence
Author: Lance B. Eliot
Publisher: Lbe Press Publishing
Total Pages: 252
Release: 2017-12-29
Genre: Artificial intelligence
ISBN: 9780692051023

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Based on their systems expertise and their state-of-the-art research, the authors of this outstanding book explore practical and forward-thinking aspects about the emergence of driverless self-driving cars. Artificial Intelligence (AI) and Machine Learning are explored as a key to breakthroughs for self-driving car high-tech innovations. In addition, the authors cover the business, economic, and societal considerations about these autonomous vehicles. This duo has combined their key talents into a vital book packed with new insights and transformational ideas.


Driverless

Driverless
Author: Hod Lipson
Publisher: MIT Press
Total Pages: 328
Release: 2016-09-30
Genre: Transportation
ISBN: 0262336650

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When human drivers let intelligent software take the wheel: the beginning of a new era in personal mobility. “Smart, wide-ranging, [and] nontechnical.” —Los Angeles Times “Anyone who wants to understand what's coming must read this fascinating book.” —Martin Ford, New York Times bestselling author of Rise of the Robots In the year 2014, Google fired a shot heard all the way to Detroit. Google's newest driverless car had no steering wheel and no brakes. The message was clear: cars of the future will be born fully autonomous, with no human driver needed. In the coming decade, self-driving cars will hit the streets, rearranging established industries and reshaping cities, giving us new choices in where we live and how we work and play. In this book, Hod Lipson and Melba Kurman offer readers insight into the risks and benefits of driverless cars and a lucid and engaging explanation of the enabling technology. Recent advances in software and robotics are toppling long-standing technological barriers that for decades have confined self-driving cars to the realm of fantasy. A new kind of artificial intelligence software called deep learning gives cars rapid and accurate visual perception. Human drivers can relax and take their eyes off the road. When human drivers let intelligent software take the wheel, driverless cars will offer billions of people all over the world a safer, cleaner, and more convenient mode of transportation. Although the technology is nearly ready, car companies and policy makers may not be. The authors make a compelling case for why government, industry, and consumers need to work together to make the development of driverless cars our society's next “Apollo moment.”


Autonomous Vehicles and the Law

Autonomous Vehicles and the Law
Author: Hannah YeeFen Lim
Publisher: Edward Elgar Publishing
Total Pages: 160
Release:
Genre:
ISBN: 1788115112

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Autonomous vehicles have attracted a great deal of attention in the media, however there are some inconsistencies between the perception of autonomous vehicles’ capabilities and their actual functions. This book provides an accessible explanation of how autonomous vehicles function, suggesting appropriate regulatory responses to the existing and emerging technology.


New Advances in AI Autonomous Driverless Self-Driving Cars

New Advances in AI Autonomous Driverless Self-Driving Cars
Author: Lance Eliot
Publisher: Lbe Press Publishing
Total Pages: 258
Release: 2017-12-22
Genre:
ISBN: 9780692048351

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Top expert Dr. Lance B. Eliot provides the latest new insights about AI Autonomous Vehicles (AV) that are emerging as driverless self-driving cars and are progressively appearing on our roadways and byways. Vital issues he addresses include present and future technological advances, societal readiness, business aspects, economic considerations, and other ramifications about how this disruptive innovation will transform the world. Referred to as the "AI Insider" and currently serving as the Executive Director of the Cybernetic Self-Driving Car Institute for Techbrium Inc., he provides a no-holds-barred analysis of how Artificial Intelligence and Machine Learning are both a strength and a potential weakness in the effort toward developing true SAE Level 5 self-driving cars.


Self Driving Car

Self Driving Car
Author: Fouad Sabry
Publisher: One Billion Knowledgeable
Total Pages: 379
Release: 2022-10-25
Genre: Transportation
ISBN:

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What Is Self Driving Car A car that incorporates vehicular automation is referred to as a self-driving car, autonomous vehicle (AV), autonomous car, driver-less car, or robotic car (robo-car). This refers to a ground vehicle that is capable of sensing its surroundings and moving safely with little or no input from a human driver. Other names for a self-driving car include driver-less car, robotic car (robo-car), and autonomous vehicle (AV). How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Self-driving car Chapter 2: Vehicular automation Chapter 3: Velodyne Lidar Chapter 4: Waymo Chapter 5: Mobileye Chapter 6: History of self-driving cars Chapter 7: Apple electric car project Chapter 8: Robotaxi Chapter 9: Tesla Autopilot Chapter 10: Ottomotto Chapter 11: Anthony Levandowski Chapter 12: Self-driving car liability Chapter 13: kar-go Chapter 14: Cruise (autonomous vehicle) Chapter 15: Lane centering Chapter 16: Self-driving truck Chapter 17: Yandex self-driving car Chapter 18: Criticism of Tesla, Inc. Chapter 19: Aurora Innovation Chapter 20: Impact of self-driving cars Chapter 21: Woven Planet Holdings (II) Answering the public top questions about self driving car. (III) Real world examples for the usage of self driving car in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of self driving car' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of self driving car.


Autonomous Vehicles

Autonomous Vehicles
Author: A. Mary Sowjanya
Publisher: John Wiley & Sons
Total Pages: 324
Release: 2023-01-05
Genre: Technology & Engineering
ISBN: 1119871956

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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.