Preparing For An Autonomous Future
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| Author | : Alicia A. Halberg |
| Publisher | : |
| Total Pages | : 62 |
| Release | : 2018 |
| Genre | : |
| ISBN | : |
Autonomous vehicles (AVs) are already on the road in test scenarios in multiple cities. This technology will result in dramatic changes for existing transportation systems and land use patterns, disrupting today’s planning practices. This study uses existing research about predicted implications of autonomous vehicles to build a criteria for evaluating existing comprehensive plans and transportation plans for municipalities in the Puget Sound Region. The results of this plan evaluation were then used to create interview questions for planners and policymakers to explore why plans do or do not take AVs and technology change into account. The results of this study demonstrate that most municipal planning documents do not mention or include thorough discussion of autonomous vehicles and their effects, and that public officials face significant uncertainties in how to best plan for autonomous vehicles despite being aware of the changes taking place and their potential impacts.
| Author | : Erica L. Groshen |
| Publisher | : |
| Total Pages | : 144 |
| Release | : 2019 |
| Genre | : Electronics in transportation |
| ISBN | : |
| Author | : Sathiyaraj Rajendran |
| Publisher | : John Wiley & Sons |
| Total Pages | : 276 |
| Release | : 2024-02-27 |
| Genre | : Computers |
| ISBN | : 111984763X |
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 | : James M. Anderson |
| Publisher | : Rand Corporation |
| Total Pages | : 215 |
| Release | : 2014-01-10 |
| Genre | : Transportation |
| ISBN | : 0833084372 |
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.
| Author | : Kence Anderson |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 253 |
| Release | : 2022-06-14 |
| Genre | : Computers |
| ISBN | : 1098110706 |
Early rules-based artificial intelligence demonstrated intriguing decision-making capabilities but lacked perception and didn't learn. AI today, primed with machine learning perception and deep reinforcement learning capabilities, can perform superhuman decision-making for specific tasks. This book shows you how to combine the practicality of early AI with deep learning capabilities and industrial control technologies to make robust decisions in the real world. Using concrete examples, minimal theory, and a proven architectural framework, author Kence Anderson demonstrates how to teach autonomous AI explicit skills and strategies. You'll learn when and how to use and combine various AI architecture design patterns, as well as how to design advanced AI without needing to manipulate neural networks or machine learning algorithms. Students, process operators, data scientists, machine learning algorithm experts, and engineers who own and manage industrial processes can use the methodology in this book to design autonomous AI. This book examines: Differences between and limitations of automated, autonomous, and human decision-making Unique advantages of autonomous AI for real-time decision-making, with use cases How to design an autonomous AI from modular components and document your designs
| Author | : Daniel P. Piatkowski |
| Publisher | : |
| Total Pages | : 68 |
| Release | : 2020 |
| Genre | : Automated vehicles |
| ISBN | : |
| Author | : Timothy E Carone |
| Publisher | : World Scientific |
| Total Pages | : 230 |
| Release | : 2018-09-19 |
| Genre | : Business & Economics |
| ISBN | : 9813142359 |
remove Listen to Timothy Carone, one of our authors of 'Future Automation', on CNN Ryan Noble's latest podcast 'Rigged Election/Wikileaks fallout' here - cnn.it/2ez7NRf remove The world overstates the present fear of future risk. Autonomous systems are our future. One day we will wake up to some event that will make it clear that the robots have taken over but just not in the way we always thought. Robots take many forms. A driverless car is a robot. A drone over Afghanistan is a robot. Siri is a robot as are high frequency trading systems. And the autonomous systems that Amazon uses to manage their warehouses and logistics are collections of robots acting in concert. In short, robots, or autonomous systems, are slowly taking over the execution of key processes that run our businesses and our lives. We define an autonomous system to be an integration at the data and process level of three components: sensors or the Internet of Things that collect data; big data that stores and processes data; and artificial intelligence, which takes the information, makes decisions, and acts. On occasions, we add in actuators, which are motors that are responsible for moving or controlling a mechanism or system. Other words for an autonomous system with actuators are 'robot,' 'driverless car,' and 'unmanned drone.'This book describes the coming disruptions caused by autonomous systems (AS), which are unique blends of AI, analytics, and the Internet of Things (IoT). An example of an AS is a driverless car. Analytics is the key element here that is still receiving scant attention as compared to the advances in AI and IoT. This book shows how disruption across many industries caused by the presence of AS will be pervasive and that analytics, which is created by the IoT and other sensors, provides the content from which AI can make decisions. These decisions are no longer the purview of humans only. AS will transcend what machines currently do. We will show how the impact of AS will start to manifest in the coming years.
| Author | : Committee on Technology National Science and Technology Council, Committee on Technology |
| Publisher | : Createspace Independent Publishing Platform |
| Total Pages | : 58 |
| Release | : 2016-10-30 |
| Genre | : |
| ISBN | : 9781540396518 |
Advances in Artificial Intelligence (AI) technology have opened up new markets and new opportunities for progress in critical areas such as health, education, energy, and the environment. In recent years, machines have surpassed humans in the performance of certain specific tasks, such as some aspects of image recognition. Experts forecast that rapid progress in the field of specialized artificial intelligence will continue. Although it is very unlikely that machines will exhibit broadly-applicable intelligence comparable to or exceeding that of humans in the next 20 years, it is to be expected that machines will reach and exceed human performance on more and more tasks. As a contribution toward preparing the United States for a future in which AI plays a growing role, this report surveys the current state of AI, its existing and potential applications, and the questions that are raised for society and public policy by progress in AI. The report also makes recommendations for specific further actions by Federal agencies and other actors.
| Author | : George Dimitrakopoulos |
| Publisher | : Elsevier |
| Total Pages | : 202 |
| Release | : 2021-04-15 |
| Genre | : Transportation |
| ISBN | : 0323901387 |
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
| Author | : Gary Cunningham |
| Publisher | : Independently Published |
| Total Pages | : 0 |
| Release | : 2024-06-06 |
| Genre | : Computers |
| ISBN | : |
Discover the Future of Transportation Welcome to the era of autonomous travel, where cutting-edge technology, innovative design, and artificial intelligence converge to revolutionize how we move. "Driving the Future: The Rise of Autonomous Vehicles" is your comprehensive guide to understanding this groundbreaking transformation. Explore the key features and advancements of Level 3 autonomous driving and beyond. Delve into the technologies that make it possible, from advanced sensors and machine learning algorithms to robust cybersecurity measures. Gain insights into the economic impact, including market opportunities, investment trends, and the creation of new job roles. This book also addresses the ethical and legal implications of autonomous vehicles, presenting thoughtful discussions on decision-making in critical situations and the evolving landscape of liability and regulation. Learn about the vital role of public perception, government policies, and educational campaigns in shaping the future of autonomous travel. With case studies from leading companies like Tesla, Waymo, and Joby Aviation, "Driving the Future" provides a real-world perspective on the innovations and challenges in this rapidly evolving field. Discover how autonomous vehicles are set to transform urban mobility, logistics, and even interplanetary travel. Whether you're a tech enthusiast, industry professional, or curious reader, this book offers a captivating glimpse into the future of transportation. Prepare to be inspired by the possibilities and motivated to embrace the changes ahead.
