Autonomous Vehicles Plus: A Critical Analysis of Challenges Delaying AV Nirvana is a valuable compendium of information for autonomous vehicle (AV) industry professionals. The book offers a critical analysis of this emerging technology and business models through a holistic and multi-faceted discussion by a consultant who has done extensive research of underlying technologies. Among other things, Autonomous Vehicles Plus provides an independent and comprehensive viewpoint of the history and basic technology concepts of AVs, along with an explanation of their artificial intelligence underpinning, architectural framework, and key components. Here is all the minutiae on driverless cars, including the challenges facing the industry, predictions for their future, advice for entrepreneurs looking to capitalize on their emerging importance, and the roiling confusion that attends it all. Autonomous vehicle industry professionals and those seeking a broad understanding of the emerging technology will find much to distract and delight them in this serious book. Autonomous Vehicles Plus will be of special interest to technology and business development professionals who want to understand the fundamentals that determine technology adoption.

Better public policies can make the road smoother for self-driving vehicles and the society that soon will depend on them. Whether you find the idea of autonomous vehicles to be exciting or frightening, the truth is that they will soon become a significant everyday presence on streets and highways—not just a novel experiment attracting attention or giggles and sparking fears of runaway self-driving cars. The emergence of these vehicles represents a watershed moment in the history of transportation. If properly encouraged, this innovation promises not only to vastly improve road travel and generate huge benefits to travelers and businesses, but to also benefit the entire economy by reducing congestion and virtually eliminating vehicle accidents. The impacts of autonomous vehicles on land use, employment, and public finance are likely to be mixed. But widely assumed negative effects are generally overstated because they ignore plausible adjustments by the public and policymakers that could ameliorate them. This book by two transportation experts argues that policy analysts can play an important and constructive role in identifying and analyzing important policy issues and necessary steps to ease the advent of autonomous vehicles. Among the actions that governments must take are creating a framework for vehicle testing, making appropriate investments in the technology of highway networks to facilitate communication involving autonomous vehicles, and reforming pricing and investment policies to enable operation of autonomous vehicles to be safe and efficient. The authors argue that policymakers at all levels of government must address these and other issues sooner rather than later. Prompt and effective actions outlined in this book are necessary to ensure that autonomous vehicles will be safe and efficient when the public begins to adopt them as replacements for current vehicles.

Autonomous Vehicles Plus: A Critical Analysis of Challenges Delaying AV Nirvana is a valuable compendium of information for autonomous vehicle (AV) industry professionals. The book offers a critical analysis of this emerging technology and business models through a holistic and multi-faceted discussion by a consultant who has done extensive research of underlying technologies. Among other things, Autonomous Vehicles Plus provides an independent and comprehensive viewpoint of the history and basic technology concepts of AVs, along with an explanation of their artificial intelligence underpinning, architectural framework, and key components. Here is all the minutiae on driverless cars, including the challenges facing the industry, predictions for their future, advice for entrepreneurs looking to capitalize on their emerging importance, and the roiling confusion that attends it all. Autonomous vehicle industry professionals and those seeking a broad understanding of the emerging technology will find much to distract and delight them in this serious book. Autonomous Vehicles Plus will be of special interest to technology and business development professionals who want to understand the fundamentals that determine technology adoption.

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.

When human drivers let intelligent software take the wheel: the beginning of a new era in personal mobility.

Autonomous vehicle (AV) technology represents a possible paradigm shift in our way of life. But complex challenges and obstacles impose a reality at odds with the utopian visions propounded by AV enthusiasts in the private and public sectors. The new volume in the Urban Agenda series examines the technological questions still surrounding autonomous vehicles and the uncertain societal and legislative impact of widespread AV adoption. Assessing both short- and long-term concerns, the authors probe how autonomous vehicles might change transportation but also land use, energy consumption, mass transit, commuter habits, traffic safety, job markets, the freight industry, and supply chains. At the same time, the essays discuss opportunities for industry, researchers, and policymakers to make the autonomous future safer, more efficient, and more mobile. Contributors: Austin Brown, Stan Caldwell, Chris Hendrickson, Kazuya Kawamura, Taylor Long, and P. S. Srira.

Self-driving cars are no longer in the realm of science fiction, thanks to the integration of numerous automotive technologies that have matured over many years. Technologies such as adaptive cruise control, forward collision warning, lane departure warning, and V2V/V2I communications are being merged into one complex system. The papers in this compendium were carefully selected to bring the reader up to date on successful demonstrations of autonomous vehicles, ongoing projects, and what the future may hold for this technology. It is divided into three sections: overview, major design and test collaborations, and a sampling of autonomous vehicle research projects. The comprehensive overview paper covers the current state of autonomous vehicle research and development as well as obstacles to overcome and a possible roadmap for major new technology developments and collaborative relationships. The section on major design and test collaborations covers Sartre, DARPA contests, and the USDOT and the Crash Avoidance Metrics Partnership-Vehicle Safety Communications (CAMP-VSC2) Consortium. The final section presents seven SAE papers on significant recent and ongoing research by individual companies on a variety of approaches to autonomous vehicles. This book will be of interest to a wide range of readers: engineers at automakers and electronic component suppliers; software engineers; computer systems analysts and architects; academics and researchers within the electronics, computing, and automotive industries; legislators, managers, and other decision-makers in the government highway sector; traffic safety professionals; and insurance and legal practitioners.