Automated Vehicles, the Driving Brain, and Artificial Intelligence PDF Download
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Author: Ling Zheng
Publisher: SAE International
ISBN: 1468605488
Category : Technology & Engineering
Languages : en
Pages : 26
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Book Description
Automated driving is considered a key technology for reducing traffic accidents, improving road utilization, and enhancing transportation economy and thus has received extensive attention from academia and industry in recent years. Although recent improvements in artificial intelligence are beginning to be integrated into vehicles, current AD technology is still far from matching or exceeding the level of human driving ability. The key technologies that need to be developed include achieving a deep understanding and cognition of traffic scenarios and highly intelligent decision-making. Automated Vehicles, the Driving Brain, and Artificial Intelligenceaddresses brain-inspired driving and learning from the human brain's cognitive, thinking, reasoning, and memory abilities. This report presents a few unaddressed issues related to brain-inspired driving, including the cognitive mechanism, architecture implementation, scenario cognition, policy learning, testing, and validation. Click here to access the full SAE EDGETM Research Report portfolio. https://doi.org/10.4271/EPR2022027
Author: Ling Zheng
Publisher: SAE International
ISBN: 1468605488
Category : Technology & Engineering
Languages : en
Pages : 26
Get Book Here
Book Description
Automated driving is considered a key technology for reducing traffic accidents, improving road utilization, and enhancing transportation economy and thus has received extensive attention from academia and industry in recent years. Although recent improvements in artificial intelligence are beginning to be integrated into vehicles, current AD technology is still far from matching or exceeding the level of human driving ability. The key technologies that need to be developed include achieving a deep understanding and cognition of traffic scenarios and highly intelligent decision-making. Automated Vehicles, the Driving Brain, and Artificial Intelligenceaddresses brain-inspired driving and learning from the human brain's cognitive, thinking, reasoning, and memory abilities. This report presents a few unaddressed issues related to brain-inspired driving, including the cognitive mechanism, architecture implementation, scenario cognition, policy learning, testing, and validation. Click here to access the full SAE EDGETM Research Report portfolio. https://doi.org/10.4271/EPR2022027
Author: Sathiyaraj Rajendran
Publisher: John Wiley & Sons
ISBN: 111984763X
Category : Computers
Languages : en
Pages : 276
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Book Description
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: Hod Lipson
Publisher: MIT Press
ISBN: 0262035227
Category : Architecture
Languages : en
Pages : 324
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Book Description
When human drivers let intelligent software take the wheel: the beginning of a new era in personal mobility.
Author: Design Council
Publisher: Legare Street Press
ISBN: 9781020952128
Category :
Languages : en
Pages : 0
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Book Description
This comprehensive guide to engineering covers a wide range of topics, from material science and mechanics to electrical systems and control engineering. The book includes case studies and real-world examples of engineering in action, making it an essential resource for engineers and students alike. This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work is in the "public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Author: Gereon Meyer
Publisher: Springer
ISBN: 3319405039
Category : Technology & Engineering
Languages : en
Pages : 292
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Book Description
This edited book comprises papers about the impacts, benefits and challenges of connected and automated cars. It is the third volume of the LNMOB series dealing with Road Vehicle Automation. The book comprises contributions from researchers, industry practitioners and policy makers, covering perspectives from the U.S., Europe and Japan. It is based on the Automated Vehicles Symposium 2015 which was jointly organized by the Association of Unmanned Vehicle Systems International (AUVSI) and the Transportation Research Board (TRB) in Ann Arbor, Michigan, in July 2015. The topical spectrum includes, but is not limited to, public sector activities, human factors, ethical and business aspects, energy and technological perspectives, vehicle systems and transportation infrastructure. This book is an indispensable source of information for academic researchers, industrial engineers and policy makers interested in the topic of road vehicle automation.
Author: Veteran Wg Cdr (Dr) SK Prakash
Publisher: Notion Press
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 151
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Book Description
GLOBAL LAWS ON USE OF AI IN AUTONOMOUS VEHICLES along with proposed changes to India’s Motor Vehicles Act for permitting Autonomous Vehicle delves into the intersection of AI and road transport, focusing on self-driving cars. It explains the three types of AI viz narrow AI, AGI, & ASI and discusses how global regions like the USA, Europe, and Asia-Pacific are evolving their laws to accommodate autonomous vehicles. The book raises issues of accident liability, testing regulations, and insurance needs, particularly addressing gaps in Indian legislation. It also focuses on India, highlighting the gaps in existing motor vehicle laws and policies that must be addressed to pave the way for self-driving cars in India. With detailed recommendations for policy reform, it is an essential read for anyone interested in transportation’s future.
Author: Sukhan Lee
Publisher: Springer Science & Business Media
ISBN: 364233931X
Category : Computers
Languages : en
Pages : 875
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Book Description
Intelligent autonomous systems are emerged as a key enabler for the creation of a new paradigm of services to humankind, as seen by the recent advancement of autonomous cars licensed for driving in our streets, of unmanned aerial and underwater vehicles carrying out hazardous tasks on-site, and of space robots engaged in scientific as well as operational missions, to list only a few. This book aims at serving the researchers and practitioners in related fields with a timely dissemination of the recent progress on intelligent autonomous systems, based on a collection of papers presented at the 12th International Conference on Intelligent Autonomous Systems, held in Jeju, Korea, June 26-29, 2012. With the theme of “Intelligence and Autonomy for the Service to Humankind, the conference has covered such diverse areas as autonomous ground, aerial, and underwater vehicles, intelligent transportation systems, personal/domestic service robots, professional service robots for surgery/rehabilitation, rescue/security and space applications, and intelligent autonomous systems for manufacturing and healthcare. This volume 2 includes contributions devoted to Service Robotics and Human-Robot Interaction and Autonomous Multi-Agent Systems and Life Engineering.
Author: Simon Burton
Publisher: SAE International
ISBN: 1468606581
Category : Technology & Engineering
Languages : en
Pages : 24
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Book Description
Recent rapid advancement in machine learning (ML) technologies have unlocked the potential for realizing advanced vehicle functions that were previously not feasible using traditional approaches to software development. One prominent example is the area of automated driving. However, there is much discussion regarding whether ML-based vehicle functions can be engineered to be acceptably safe, with concerns related to the inherent difficulty and ambiguity of the tasks to which the technology is applied. This leads to challenges in defining adequately safe responses for all possible situations and an acceptable level of residual risk, which is then compounded by the reliance on training data. The Path to Safe Machine Learning for Automotive Applications discusses the challenges involved in the application of ML to safety-critical vehicle functions and provides a set of recommendations within the context of current and upcoming safety standards. In summary, the potential of ML will only be unlocked for safety-related functions if the inevitable uncertainties associated with both the specification and performance of the trained models can be sufficiently well understood and controlled within the application-specific context. Click here to access the full SAE EDGETM Research Report portfolio. https://doi.org/10.4271/EPR2023023
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
SAE EDGE Research Reports provide state-of-the-art and state-of-industry examinations of the most significant topics in mobility engineering. SAE EDGE contributors are experts from research, academia, and industry who have come together to explore and define the most critical advancements, challenges, and future direction in areas such as vehicle automation, unmanned aircraft, IoT and connectivity, cybersecurity, advanced propulsion, and advanced manufacturing.
Author: Bob Nease
Publisher: HarperCollins
ISBN: 0062407465
Category : Business & Economics
Languages : en
Pages : 140
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Book Description
Going beyond the bestsellers Predictably Irrational and Thinking, Fast and Slow, the first “how to” guide that shows you how to help customers, employees, coworkers, and clients make better choices to get what they truly want. Of the ten million bits of information our brains process each second, only fifty bits are devoted to conscious thought. Because our brains are wired to be inattentive, we often choose without thinking, acting against our own interests—what we truly want. As the former Chief Scientist of Express Scripts, a Fortune 25 healthcare company dedicated to making the use of prescription medications safer and more affordable, Bob Nease is an expert on applying behavioral sciences to health care. Now, he applies his knowledge to the wider world, providing important practical solutions marketers, human resources professionals, teachers, and even parents can use to improve the behavior of others around them, and get the positive results they want. Nease offers a set of powerful and effective strategies to change behavior, including: Require Choice—compel people to deliberately choose among options Lock in Good Intentions—allow people to make decisions today about choices they will face in the future Let It Ride—set the default to the desired option and let people opt out if they wish Get in the Flow—go to where peoples’ attention is likely to be naturally Reframe the Choices—set the framework people use to consider options and choices Piggyback It—connect the desired choice or behavior with something they already like or are engaged in Simplify . . . Wisely—make right choices frictionless and easy, make wrong choices more difficult And more.
