Download or read book Trailblazing Trends for AI Self Driving Cars written by Lance Eliot and published by Bowker Identifier Services. This book was released on 2018-12-17 with total page 256 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 trailblazing trends 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 Artificial Intelligence for Autonomous Vehicles written by Sathiyaraj Rajendran and published by John Wiley & Sons. This book was released on 2024-02-27 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
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 Explainable Artificial Intelligence for Autonomous Vehicles written by Kamal Malik and published by CRC Press. This book was released on 2024-08-14 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explainable AI for Autonomous Vehicles: Concepts, Challenges, and Applications is a comprehensive guide to developing and applying explainable artificial intelligence (XAI) in the context of autonomous vehicles. It begins with an introduction to XAI and its importance in developing autonomous vehicles. It also provides an overview of the challenges and limitations of traditional black-box AI models and how XAI can help address these challenges by providing transparency and interpretability in the decision-making process of autonomous vehicles. The book then covers the state-of-the-art techniques and methods for XAI in autonomous vehicles, including model-agnostic approaches, post-hoc explanations, and local and global interpretability techniques. It also discusses the challenges and applications of XAI in autonomous vehicles, such as enhancing safety and reliability, improving user trust and acceptance, and enhancing overall system performance. Ethical and social considerations are also addressed in the book, such as the impact of XAI on user privacy and autonomy and the potential for bias and discrimination in XAI-based systems. Furthermore, the book provides insights into future directions and emerging trends in XAI for autonomous vehicles, such as integrating XAI with other advanced technologies like machine learning and blockchain and the potential for XAI to enable new applications and services in the autonomous vehicle industry. Overall, the book aims to provide a comprehensive understanding of XAI and its applications in autonomous vehicles to help readers develop effective XAI solutions that can enhance autonomous vehicle systems' safety, reliability, and performance while improving user trust and acceptance. This book: Discusses authentication mechanisms for camera access, encryption protocols for data protection, and access control measures for camera systems. Showcases challenges such as integration with existing systems, privacy, and security concerns while implementing explainable artificial intelligence in autonomous vehicles. Covers explainable artificial intelligence for resource management, optimization, adaptive control, and decision-making. Explains important topics such as vehicle-to-vehicle (V2V) communication, vehicle-to-infrastructure (V2I) communication, remote monitoring, and control. Emphasizes enhancing safety, reliability, overall system performance, and improving user trust in autonomous vehicles. The book is intended to provide researchers, engineers, and practitioners with a comprehensive understanding of XAI's key concepts, challenges, and applications in the context of autonomous vehicles. It is primarily written for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer science and engineering, information technology, and automotive engineering.
Download or read book Driverless written by Hod Lipson and published by MIT Press. This book was released on 2017-09-15 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.”
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 Top Trends in AI Self Driving Cars written by Lance Eliot and published by Lbe Press Publishing. This book was released on 2018-07-17 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: World renowned AI self-driving car expert, Dr. Lance Eliot, provides the latest top trends in AI Machine Learning and self-driving cars. Merging together his insights about Autonomous Vehicles (AV) and self-driving robot cars, he covers the high-tech aspects along with business and societal impacts. For access to his podcasts, see his web site: www.ai-selfdriving-cars.guru
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 The Driver in the Driverless Car written by Vivek Wadhwa and published by Berrett-Koehler Publishers. This book was released on 2017-04-03 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: Teaching readers to evaluate the potential impact of any new technology, this book presents three simple questions to ask: Does it have the potential to benefit everyone equally? What are its risks and rewards? And does it promote autonomy or dependence? --
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 Self Driving Cars Autonomy Practical Advances In Artificial Intelligence And Machine Learning written by Lance Eliot and published by R. R. Bowker. This book was released on 2020-01-08 with total page 268 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 autonomous cars. Included too are keen insights about the practical application of Artificial Intelligence (AI) and Machines Learning (ML).
Download or read book AI Self Driving Cars Materiality Practical Advances In Artificial Intelligence And Machine Learning written by Lance Eliot and published by . This book was released on 2020-05-04 with total page 218 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 autonomous cars. Included too are keen insights about the practical application of Artificial Intelligence (AI) and Machines Learning (ML).
Download or read book AI Self Driving Cars Accordance written by Lance Eliot and published by . This book was released on 2020-05-24 with total page 230 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 autonomous cars. Included too are keen insights about the practical application of Artificial Intelligence (AI) and Machines Learning (ML).
Download or read book AI Self Driving Cars Evolvement written by Lance Eliot and published by R. R. Bowker. This book was released on 2019-03-25 with total page 258 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 evolving 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 AI Self Driving Cars Divulgement written by Lance Eliot and published by . This book was released on 2020-07-09 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book AI Self Driving Cars Vicissitude written by Lance Eliot and published by R. R. Bowker. This book was released on 2019-12-14 with total page 266 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 autonomous cars. Included too are keen insights about the practical application of Artificial Intelligence (AI) and Machines Learning (ML).
Download or read book AI in Transportation Revolutionizing Mobility and Infrastructure written by Dizzy Davidson and published by Pure Water Books. This book was released on 2024-07-27 with total page 95 pages. Available in PDF, EPUB and Kindle. Book excerpt: “AI in Transportation: Revolutionizing Mobility and Infrastructure” provides the answers you seek. This comprehensive guide delves into the transformative power of AI in the transportation industry, offering insights into autonomous vehicles, traffic management, and predictive maintenance. Benefits of Reading This Book: Understand the Role of AI: Gain a deep understanding of how AI is driving innovation in transportation. Practical Applications: Learn about real-world applications and case studies that showcase the effectiveness of AI. Future Trends: Stay ahead of the curve by exploring emerging trends and technologies in AI and transportation. This book is an essential resource for anyone looking to understand the intersection of AI and transportation. Whether you’re a tech enthusiast, a transportation professional, or simply curious about the future of mobility, this book provides valuable insights and practical knowledge. Why This Book is a Must-Read: Comprehensive Coverage: Covers a wide range of topics from autonomous vehicles to smart parking management. Expert Insights: Written by experts in the field, offering authoritative and reliable information. Engaging Content: Presented in an engaging and easy-to-understand manner, making complex concepts accessible. Call to Action: Don’t miss out on the opportunity to become knowledgeable about AI in transportation. Get your copy of “AI in Transportation: Revolutionizing Mobility and Infrastructure” today and unlock the benefits of understanding and applying AI concepts in the transportation industry. Viral Bullet Points Discover how AI is transforming self-driving cars and trucks. Learn about AI algorithms that optimize traffic flow and reduce congestion. Explore AI systems that monitor road conditions and enhance infrastructure maintenance. Understand how AI detects traffic incidents and improves emergency response times. Find out how AI enhances vehicle safety through pedestrian detection and driver monitoring. Dive into smart parking management and AI-driven logistics solutions. Uncover the role of AI in ride-sharing and Mobility as a Service (MaaS).
