Ai Self Driving Cars Accordance PDF Download
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| Author | : Lance Eliot |
| Publisher | : |
| Total Pages | : 230 |
| Release | : 2020-05-24 |
| Genre | : |
| ISBN | : 9781734601664 |
Download AI Self-Driving Cars Accordance Book in PDF, ePub and Kindle
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).
| Author | : Sathiyaraj Rajendran |
| Publisher | : John Wiley & Sons |
| Total Pages | : 276 |
| Release | : 2024-02-27 |
| Genre | : Computers |
| ISBN | : 111984763X |
Download Artificial Intelligence for Autonomous Vehicles Book in PDF, ePub and Kindle
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.
| Author | : Hannah YeeFen Lim |
| Publisher | : Edward Elgar Publishing |
| Total Pages | : 160 |
| Release | : |
| Genre | : |
| ISBN | : 1788115112 |
Download Autonomous Vehicles and the Law Book in PDF, ePub and Kindle
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.
| Author | : Lance Eliot |
| Publisher | : Lbe Press Publishing |
| Total Pages | : 258 |
| Release | : 2017-12-22 |
| Genre | : |
| ISBN | : 9780692048351 |
Download New Advances in AI Autonomous Driverless Self-Driving Cars Book in PDF, ePub and Kindle
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.
| Author | : Lance Eliot |
| Publisher | : R. R. Bowker |
| Total Pages | : 268 |
| Release | : 2020-01-08 |
| Genre | : Business & Economics |
| ISBN | : 9781733249898 |
Download AI Self-Driving Cars Autonomy: Practical Advances In Artificial Intelligence And Machine Learning Book in PDF, ePub and Kindle
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).
| Author | : Lance B. Eliot |
| Publisher | : Lbe Press Publishing |
| Total Pages | : 252 |
| Release | : 2017-12-29 |
| Genre | : Artificial intelligence |
| ISBN | : 9780692051023 |
Download Autonomous Vehicle Driverless Self-Driving Cars and Artificial Intelligence Book in PDF, ePub and Kindle
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.
| Author | : Lance Eliot |
| Publisher | : R. R. Bowker |
| Total Pages | : 266 |
| Release | : 2019-12-14 |
| Genre | : Business & Economics |
| ISBN | : 9781733249881 |
Download AI Self-Driving Cars Vicissitude Book in PDF, ePub and Kindle
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).
| Author | : Yi Lu Murphey |
| Publisher | : Springer Nature |
| Total Pages | : 563 |
| Release | : 2022-09-07 |
| Genre | : Technology & Engineering |
| ISBN | : 3031067800 |
Download AI-enabled Technologies for Autonomous and Connected Vehicles Book in PDF, ePub and Kindle
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.
| Author | : Fouad Sabry |
| Publisher | : One Billion Knowledgeable |
| Total Pages | : 379 |
| Release | : 2022-10-25 |
| Genre | : Transportation |
| ISBN | : |
Download Self Driving Car Book in PDF, ePub and Kindle
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.
| Author | : Lance Eliot |
| Publisher | : R. R. Bowker |
| Total Pages | : 268 |
| Release | : 2019-02-20 |
| Genre | : Computers |
| ISBN | : 9781732976061 |
Download Spurring AI Self-Driving Cars: Practical Advances in Artificial Intelligence and Machine Learning Book in PDF, ePub and Kindle
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 spurring 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).
