Download or read book AI Innovations and Self Driving Cars written by Lance Eliot and published by Lbe Press Publishing. This book was released on 2018-07-24 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: Famous expert on AI and self-driving cars, Dr. Lance Eliot provides the latest in AI innovations and driverless cars. He offers insights about how these Autonomous Vehicles (AV) are making use of machine learning and AI. Providing practical aspects, he blends together high-tech along with the business and societal impacts. For access to his podcasts, see his web site: www.ai-selfdriving-cars.guru
Download or read book Advances in AI and Autonomous Vehicles Cybernetic Self Driving Cars written by Lance Eliot and published by Lbe Press Publishing. This book was released on 2017-07 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Autonomous Vehicle Driverless Self Driving Cars and Artificial Intelligence written by Lance B. Eliot and published by Lbe Press Publishing. This book was released on 2017-12-29 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book The Next Wave AI Self Driving Cars written by Lance Eliot and published by . This book was released on 2018-11-06 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a ground breaking book by industry thought leader and global AI expert, Dr. Lance Eliot, and is based on his popular AI Insider series and podcasts. This fascinating book provides next wave advances for the advent of AI self-driving driverless cars. Included too are keen insights about the practical application of Artificial Intelligence (AI) and Machines Learning (ML).
Download or read book Crucial Advances for AI Driverless Cars written by Lance Eliot and published by Lbe Press Publishing. This book was released on 2018-08-13 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: Global expert on AI and self-driving driverless cars, Dr. Lance Eliot provides an indication of the crucial high-tech advances both needed and that are underway. He brings together his deep insights into the rise of Autonomous Vehicles (AV) and covers the high-tech, business, governmental, and societal impacts. For access to his podcasts, see his web site: www.ai-selfdriving-cars.guru
Download or read book Who s Driving Innovation written by Jack Stilgoe and published by Springer Nature. This book was released on 2019-11-26 with total page 78 pages. Available in PDF, EPUB and Kindle. Book excerpt: "A much needed, sobering look at the seductive promises of new technologies. You couldn’t ask for a better guide than Jack Stilgoe. His book is measured, fair and incisive.”Hannah Fry, University College London, UK, and author of Hello World: How to be Human in the Age of the Machine “A cracking and insightful little book that thoughtfully examines the most important political and social question we face: how to define and meaningfully control the technologies that are starting to run our lives.”Jamie Bartlett, author of The People vs Tech: How the Internet is Killing Democracy (and How We Save It) "Innovation has not only a rate but also a direction. Stilgoe’s excellent new book tackles the directionality of AI with a strong call to action. The book critiques the idea that technology is a pre-determined force, and puts forward a concrete proposal on how to make sure we are making decisions along the way that ask who is benefitting and how can we open the possibilities of innovation while steering them to deliver social benefit."Mariana Mazzucato, University College London, UK, and author of The Value of Everything: Making and Taking in the Global Economy “Looking closely at the prospects and problems for ‘autonomous vehicles,’ Jack Stilgoe uncovers layer after layer of an even more fascinating story - the bizarre disconnect between technological means and basic human ends in our time. A tour de force of history and theory, the book is rich in substance, unsettling in its questions and great fun to read.”Langdon Winner, Rensselaer Polytechnic Institute, USA Too often, we understand the effects of technological change only in hindsight. When technologies are new, it is not clear where they are taking us or who's driving. Innovators tend to accentuate the benefits rather than risks or other injustices. Technologies like self-driving cars are not as inevitable as the hype would suggest. If we want to realise the opportunities, spread the benefits to people who normally lose out and manage the risks, Silicon Valley’s disruptive innovation is a bad model. Steering innovation in the public interest means finding new ways for public and private sector organisations to collaborate.
Download or read book Revolutionary Innovations of AI Self Driving Cars written by Lance Eliot and published by Lbe Press Publishing. This book was released on 2018-11-25 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: A revolutionary book by industry thought leader and global AI expert, Dr. Lance Eliot, and based on his popular AI Insider series and podcasts, this fascinating book provides pioneering advances for the advent of AI self-driving driverless cars. Included too are keen insights about the practical application of Artificial Intelligence (AI) and Machines Learning (ML).
Download or read book Self Driving Car written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2022-10-25 with total page 379 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book AI for Cars written by Josep Aulinas and published by CRC Press. This book was released on 2021-07-28 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) is undoubtedly playing an increasingly significant role in automobile technology. In fact, cars inhabit one of just a few domains where you will find many AI innovations packed into a single product. AI for Cars provides a brief guided tour through many different AI landscapes including robotics, image and speech processing, recommender systems and onto deep learning, all within the automobile world. From pedestrian detection to driver monitoring to recommendation engines, the book discusses the background, research and progress thousands of talented engineers and researchers have achieved thus far, and their plans to deploy this life-saving technology all over the world.
Download or read book Pioneering Advances for AI Driverless Cars written by Lance Eliot and published by . This book was released on 2018-09-23 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based on his popular AI Insider series and podcasts, this vital book by industry thought leader and global expert, Dr. Lance Eliot, provides pioneering advances for the advent of AI self-driving driverless cars. Included are insights about the practical application of Artificial Intelligence and Machines Learning.
Download or read book Autonomous Vehicle Technology written by James M. Anderson and published by Rand Corporation. This book was released on 2014-01-10 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: The automotive industry appears close to substantial change engendered by “self-driving” technologies. This technology offers the possibility of significant benefits to social welfare—saving lives; reducing crashes, congestion, fuel consumption, and pollution; increasing mobility for the disabled; and ultimately improving land use. This report is intended as a guide for state and federal policymakers on the many issues that this technology raises.
Download or read book AI enabled Technologies for Autonomous and Connected Vehicles written by Yi Lu Murphey and published by Springer Nature. This book was released on 2022-09-07 with total page 563 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reports on cutting-edge research and advances in the field of intelligent vehicle systems. It presents a broad range of AI-enabled technologies, with a focus on automated, autonomous and connected vehicle systems. It covers advanced machine learning technologies, including deep and reinforcement learning algorithms, transfer learning and learning from big data, as well as control theory applied to mobility and vehicle systems. Furthermore, it reports on cutting-edge technologies for environmental perception and vehicle-to-everything (V2X), discussing socioeconomic and environmental implications, and aspects related to human factors and energy-efficiency alike, of automated mobility. Gathering chapters written by renowned researchers and professionals, this book offers a good balance of theoretical and practical knowledge. It provides researchers, practitioners and policy makers with a comprehensive and timely guide on the field of autonomous driving technologies.
Download or read book Leading Edge Trends for AI Driverless Cars written by Lance Eliot and published by Lbe Press Publishing. This book was released on 2018-10-03 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: A vital book by industry thought leader and global AI expert, Dr. Lance Eliot, and based on his popular AI Insider series and podcasts, this fascinating book provides pioneering advances for the advent of AI self-driving driverless cars. Included too are keen insights about the practical application of Artificial Intelligence (AI) and Machines Learning (ML).
Download or read book Smart Transportation written by Guido Dartmann and published by CRC Press. This book was released on 2021-11-10 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides a broad overview of the challenges and recent developments in the field of smart mobility and transportation, including technical, algorithmic and social aspects of smart mobility and transportation. It reviews new ideas for services and platforms for future mobility. New concepts of artificial intelligence and the implementation in new hardware architecture are discussed. In the context of artificial intelligence, new challenges of machine learning for autonomous vehicles and fleets are investigated. The book also investigates human factors and social questions of future mobility concepts. The goal of this book is to provide a holistic approach towards smart transportation. The book reviews new technologies such as the cloud, machine learning and communication for fully atomatized transport, catering to the needs of citizens. This will lead to complete change of concepts in transportion.
Download or read book Introduction to Driverless Self Driving Cars written by Lance Eliot and published by Lbe Press Publishing. This book was released on 2018 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based on his popular AI Insider column and reader feedback, this is Dr. Eliot's highly rated introductory coverage on the emergence and advent of autonomous driverless self-driving cars. Readable for everyone, discover the underlying technology that makes self-driving cars achievable. Furthermore, learn about the key business aspects, economics, and politics that will shape the future of self-driving cars. Essential elements of Artificial Intelligence (AI) and Machine Learning are covered, along with blockchain, bitcoins, genetic algorithms, neural networks, and more.
Download or read book AI at the Wheel written by Derek Lawson and published by eBookIt.com. This book was released on 2024-08-29 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: Experience the Future of Driving: A Glimpse into the World of Autonomous Vehicles Imagine a world where commuting no longer requires your hands on the wheel or your eyes on the road. AI at the Wheel: The Revolution of Autonomous Driving takes you on an engrossing journey through the transformative technology behind self-driving cars, showcasing a future that is closer than you think. Discover the milestones that have shaped autonomous driving, from the inception of early self-driving prototypes to the breakthroughs in AI and machine learning that enable vehicles to think and react like human drivers. Delve into the stories of the innovators and companies at the forefront of this groundbreaking industry. Uncover the profound impact autonomous vehicles will have on our lives. Learn how these marvels of technology will restructure urban landscapes, shift job markets, and create new economic opportunities. Explore the ethical considerations and legal debates that accompany this technological revolution, as well as the rigorous safety protocols that ensure the reliability of self-driving cars. Feel the pulse of a rapidly evolving industry as the author examines the role of big data, cybersecurity, and the expansive ecosystem supporting autonomous vehicles. From the complexities of V2X communication and energy efficiency to the future of ride-sharing and public transportation, each chapter offers a compelling look at the various dimensions of this technological marvel. Empower yourself with the knowledge to navigate an autonomous future. Whether you're a tech enthusiast, a business professional, or simply curious about what lies ahead, this book equips you with the insights to understand and embrace the coming changes. AI at the Wheel: The Revolution of Autonomous Driving is not just a book–it's your guide to the future.
Download or read book Autonomous Vehicles written by George Dimitrakopoulos and published by Elsevier. This book was released on 2021-04-15 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: Autonomous Vehicles: Technologies, Regulations, and Societal Impacts explores both the autonomous driving concepts and the key hardware and software enablers, Artificial intelligence tools, needed infrastructure, communication protocols, and interaction with non-autonomous vehicles. It analyses the impacts of autonomous driving using a scenario-based approach to quantify the effects on the overall economy and affected sectors. The book assess from a qualitative and quantitative approach, the future of autonomous driving, and the main drivers, challenges, and barriers. The book investigates whether individuals are ready to use advanced automated driving vehicles technology, and to what extent we as a society are prepared to accept highly automated vehicles on the road. Building on the technologies, opportunities, strengths, threats, and weaknesses, Autonomous Vehicles: Technologies, Regulations, and Societal Impacts discusses the needed frameworks for automated vehicles to move inside and around cities. The book concludes with a discussion on what in applications comes next, outlining the future research needs. Broad, interdisciplinary and systematic coverage of the key issues in autonomous driving and vehicles Examines technological impact on society, governance, and the economy as a whole Includes foundational topical coverage, case studies, objectives, and glossary