The Complete Guide to Autonomous Vehicles PDF Download
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Author: Michael Milford
Publisher:
ISBN: 9780958137591
Category :
Languages : en
Pages :
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Book Description
Author: Michael Milford
Publisher:
ISBN: 9780958137591
Category :
Languages : en
Pages :
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Book Description
Author: James M. Anderson
Publisher: Rand Corporation
ISBN: 0833084372
Category : Transportation
Languages : en
Pages : 215
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Book Description
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: C. D. Leonard
Publisher: Len's eBooks
ISBN: 9781732025875
Category :
Languages : en
Pages : 96
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Book Description
Discover all perspectives surround the phenomenon of the Autonomous Vehicle here. From technology and economics, to legal and ethical. All right here.
Author: Kamal Malik
Publisher: CRC Press
ISBN: 1040099297
Category : Computers
Languages : en
Pages : 205
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Book Description
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.
Author: Shaoshan Liu
Publisher: Morgan & Claypool Publishers
ISBN: 1681731673
Category : Computers
Languages : en
Pages : 285
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Book Description
This book is the first technical overview of autonomous vehicles written for a general computing and engineering audience. The authors share their practical experiences of creating autonomous vehicle systems. These systems are complex, consisting of three major subsystems: (1) algorithms for localization, perception, and planning and control; (2) client systems, such as the robotics operating system and hardware platform; and (3) the cloud platform, which includes data storage, simulation, high-definition (HD) mapping, and deep learning model training. The algorithm subsystem extracts meaningful information from sensor raw data to understand its environment and make decisions about its actions. The client subsystem integrates these algorithms to meet real-time and reliability requirements. The cloud platform provides offline computing and storage capabilities for autonomous vehicles. Using the cloud platform, we are able to test new algorithms and update the HD map—plus, train better recognition, tracking, and decision models. This book consists of nine chapters. Chapter 1 provides an overview of autonomous vehicle systems; Chapter 2 focuses on localization technologies; Chapter 3 discusses traditional techniques used for perception; Chapter 4 discusses deep learning based techniques for perception; Chapter 5 introduces the planning and control sub-system, especially prediction and routing technologies; Chapter 6 focuses on motion planning and feedback control of the planning and control subsystem; Chapter 7 introduces reinforcement learning-based planning and control; Chapter 8 delves into the details of client systems design; and Chapter 9 provides the details of cloud platforms for autonomous driving. This book should be useful to students, researchers, and practitioners alike. Whether you are an undergraduate or a graduate student interested in autonomous driving, you will find herein a comprehensive overview of the whole autonomous vehicle technology stack. If you are an autonomous driving practitioner, the many practical techniques introduced in this book will be of interest to you. Researchers will also find plenty of references for an effective, deeper exploration of the various technologies.
Author: Rosey Press
Publisher: Independently Published
ISBN:
Category : Computers
Languages : en
Pages : 0
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Book Description
Levels of autonomy in vehicles Autonomous vehicles are classified into different levels based on the extent to which they can operate without human intervention. These levels are defined by the Society of Automotive Engineers (SAE) and range from Level 0 to Level 5. Level 0 represents no automation, with the human driver having full control at all times. Level 5, on the other hand, represents full automation, with the vehicle capable of operating without any human input under all conditions. In between these extremes are Levels 1 to 4, each representing increasing levels of automation. Level 1 vehicles have some automated features, such as adaptive cruise control or lane-keeping assist, but still require the human driver to be fully engaged and ready to take control at any time. Level 2 vehicles can handle some driving tasks, such as steering and acceleration, but still require the human driver to monitor the road and be ready to intervene if necessary. Level 3 vehicles can operate autonomously under certain conditions, such as on highways, but still require the human driver to take over if the system encounters a situation it cannot handle. Level 4 vehicles can operate autonomously in specific areas or under specific conditions, such as in a geofenced area or in good weather conditions, without any human intervention. Finally, Level 5 vehicles are fully autonomous and can operate under all conditions without any human input. Understanding the levels of autonomy in vehicles is crucial for professionals working in the field of autonomous vehicles, as it helps them understand the capabilities and limitations of different systems. It also helps them design and develop systems that are safe, reliable, and user-friendly. By knowing the different levels of autonomy, professionals can ensure that their systems meet the highest standards of safety and performance. In addition to understanding the levels of autonomy in vehicles, professionals must also consider the legal implications of autonomous driving. As autonomous vehicles become more prevalent on the roads, lawmakers and regulators are grappling with how to ensure the safety and security of these vehicles. Professionals must stay up-to-date on the latest regulations and guidelines to ensure that their systems comply with all legal requirements. Overall, understanding the levels of autonomy in vehicles is essential for professionals working in the field of autonomous vehicles. By knowing the different levels of autonomy and their implications, professionals can design, develop, and deploy systems that are safe, reliable, and user-friendly. This knowledge is crucial for ensuring the success of autonomous vehicles and for realizing their full potential in transforming the way we travel and commute.
Author: Gerardus Blokdyk
Publisher:
ISBN: 9781489194657
Category : Electronic books
Languages : en
Pages : 0
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Book Description
Autonomous Vehicles Complete Self-Assessment Guide.
Author: Gerardus Blokdyk
Publisher: 5starcooks
ISBN: 9780655806639
Category :
Languages : en
Pages : 312
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Book Description
Who of your competitors is in a blue ocean that you are not seeing yet? What are the liability implications for manufacturers that are responsible for how autonomous vehicles execute the dynamic driving task? How can you ensure that autonomous vehicles can get on the road once they reach the required safety level? What is your multi access edge computing? Who should be held liable for crashes involving autonomous vehicles? Defining, designing, creating, and implementing a process to solve a challenge or meet an objective is the most valuable role... In EVERY group, company, organization and department. Unless you are talking a one-time, single-use project, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?' This Self-Assessment empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make Autonomous Vehicles investments work better. This Autonomous Vehicles All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Autonomous Vehicles Self-Assessment. Featuring 964 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Autonomous Vehicles improvements can be made. In using the questions you will be better able to: - diagnose Autonomous Vehicles projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices - implement evidence-based best practice strategies aligned with overall goals - integrate recent advances in Autonomous Vehicles and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Autonomous Vehicles Scorecard, you will develop a clear picture of which Autonomous Vehicles areas need attention. Your purchase includes access details to the Autonomous Vehicles self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Autonomous Vehicles Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.
Author: Gerardus Blokdyk
Publisher: 5starcooks
ISBN: 9780655800255
Category :
Languages : en
Pages : 312
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Book Description
Driving to safety: how many miles of driving would it take to demonstrate autonomous vehicle reliability? Will this hold a new set of business ethics? What are the appropriate crash metrics for evaluating the relative safety performance of an autonomous vehicle? How would the company s stakeholders feel about it? Autonomous cars must comply with cybersecurity practices, and how is self-driving technology related to security? This best-selling Autonomous car self-assessment will make you the established Autonomous car domain leader by revealing just what you need to know to be fluent and ready for any Autonomous car challenge. How do I reduce the effort in the Autonomous car work to be done to get problems solved? How can I ensure that plans of action include every Autonomous car task and that every Autonomous car outcome is in place? How will I save time investigating strategic and tactical options and ensuring Autonomous car costs are low? How can I deliver tailored Autonomous car advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Autonomous car essentials are covered, from every angle: the Autonomous car self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Autonomous car outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Autonomous car practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Autonomous car are maximized with professional results. Your purchase includes access details to the Autonomous car self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Autonomous car Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.
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.
