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Author : Michael Milford
Publisher :
ISBN 13 : 9780958137591
Total Pages : pages
Book Rating : 4.1/5 (375 download)
Download or read book The Complete Guide to Autonomous Vehicles written by Michael Milford and published by . This book was released on 2021-06 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : James M. Anderson
Publisher : Rand Corporation
ISBN 13 : 0833084372
Total Pages : 215 pages
Book Rating : 4.8/5 (33 download)
Download or read book Autonomous Vehicle Technology written by James M. Anderson and published by Rand Corporation. This book was released on 2014-01-10 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 13 : 9781732025875
Total Pages : 96 pages
Book Rating : 4.0/5 (258 download)
Download or read book Autonomous Vehicles written by C. D. Leonard and published by Len's eBooks. This book was released on 2018-08 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover all perspectives surround the phenomenon of the Autonomous Vehicle here. From technology and economics, to legal and ethical. All right here.
Author : Shaoshan Liu
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1681730081
Total Pages : 198 pages
Book Rating : 4.6/5 (817 download)
Download or read book Creating Autonomous Vehicle Systems written by Shaoshan Liu and published by Morgan & Claypool Publishers. This book was released on 2017-10-25 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 13 :
Total Pages : 0 pages
Book Rating : 4.3/5 (283 download)
Download or read book The Ultimate Guide to L5 Autonomous Vehicles written by Rosey Press and published by Independently Published. This book was released on 2024-06-12 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 13 : 9781489194657
Total Pages : 0 pages
Book Rating : 4.1/5 (946 download)
Download or read book Autonomous Vehicles Complete Self-Assessment Guide written by Gerardus Blokdyk and published by . This book was released on 2018 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Autonomous Vehicles Complete Self-Assessment Guide.
Author : Gerardus Blokdyk
Publisher : 5starcooks
ISBN 13 : 9780655806639
Total Pages : 312 pages
Book Rating : 4.8/5 (66 download)
Download or read book Autonomous Vehicles A Complete Guide - 2019 Edition written by Gerardus Blokdyk and published by 5starcooks. This book was released on 2019-06-27 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 13 : 9780655800255
Total Pages : 312 pages
Book Rating : 4.8/5 (2 download)
Download or read book Autonomous Car A Complete Guide - 2019 Edition written by Gerardus Blokdyk and published by 5starcooks. This book was released on 2019-06-19 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Clifford Winston
Publisher : Brookings Institution Press
ISBN 13 : 0815738587
Total Pages : 177 pages
Book Rating : 4.8/5 (157 download)
Download or read book Autonomous Vehicles written by Clifford Winston and published by Brookings Institution Press. This book was released on 2020-06-30 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Kamal Malik
Publisher : CRC Press
ISBN 13 : 1040099297
Total Pages : 205 pages
Book Rating : 4.0/5 (4 download)
Download or read book Explainable Artificial Intelligence for Autonomous Vehicles written by Kamal Malik and published by CRC Press. This book was released on 2024-08-14 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Sathiyaraj Rajendran
Publisher : John Wiley & Sons
ISBN 13 : 111984763X
Total Pages : 276 pages
Book Rating : 4.1/5 (198 download)
Download or read book Artificial Intelligence for Autonomous Vehicles written by Sathiyaraj Rajendran and published by John Wiley & Sons. This book was released on 2024-02-27 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Gerardus Blokdyk
Publisher : 5starcooks
ISBN 13 : 9780655841340
Total Pages : 308 pages
Book Rating : 4.8/5 (413 download)
Download or read book Autonomous Vehicle A Complete Guide - 2019 Edition written by Gerardus Blokdyk and published by 5starcooks. This book was released on 2019-08-03 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: What makes Autonomous work? Do autonomous vehicle trials require a driver? Full Autonomous Vehicle: When and How? What is the relevant baseline for evaluating the relative safety of an autonomous vehicle? Would an autonomous vehicle be subject to inconsistent regulations when traveling between two states? This astounding Autonomous Vehicle self-assessment will make you the established Autonomous Vehicle domain assessor by revealing just what you need to know to be fluent and ready for any Autonomous Vehicle challenge. How do I reduce the effort in the Autonomous Vehicle work to be done to get problems solved? How can I ensure that plans of action include every Autonomous Vehicle task and that every Autonomous Vehicle outcome is in place? How will I save time investigating strategic and tactical options and ensuring Autonomous Vehicle costs are low? How can I deliver tailored Autonomous Vehicle 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 Vehicle essentials are covered, from every angle: the Autonomous Vehicle self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Autonomous Vehicle outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Autonomous Vehicle 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 Vehicle are maximized with professional results. Your purchase includes access details to the Autonomous Vehicle 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 Vehicle 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 : Baruch Feigenbaum
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (133 download)
Download or read book AUTONOMOUS Vehicles written by Baruch Feigenbaum and published by . This book was released on 2018 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Gerardus Blokdyk
Publisher : 5starcooks
ISBN 13 : 9781489144652
Total Pages : pages
Book Rating : 4.1/5 (446 download)
Download or read book Autonomous Vehicles Complete Self-Assessment Guide written by Gerardus Blokdyk and published by 5starcooks. This book was released on 2018-01-05 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Does Autonomous Vehicles create potential expectations in other areas that need to be recognized and considered? What management system can we use to leverage the Autonomous Vehicles experience, ideas, and concerns of the people closest to the work to be done? What about Autonomous Vehicles Analysis of results? What are internal and external Autonomous Vehicles relations? Can we add value to the current Autonomous Vehicles decision-making process (largely qualitative) by incorporating uncertainty modeling (more quantitative)? Defining, designing, creating, and implementing a process to solve a business challenge or meet a business objective is the most valuable role... In EVERY company, organization and department. Unless you are talking a one-time, single-use project within a business, 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 724 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. Your exclusive instant access details can be found in your book.
Author : Markus Maurer
Publisher : Springer
ISBN 13 : 3662488477
Total Pages : 706 pages
Book Rating : 4.6/5 (624 download)
Download or read book Autonomous Driving written by Markus Maurer and published by Springer. This book was released on 2016-05-21 with total page 706 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book takes a look at fully automated, autonomous vehicles and discusses many open questions: How can autonomous vehicles be integrated into the current transportation system with diverse users and human drivers? Where do automated vehicles fall under current legal frameworks? What risks are associated with automation and how will society respond to these risks? How will the marketplace react to automated vehicles and what changes may be necessary for companies? Experts from Germany and the United States define key societal, engineering, and mobility issues related to the automation of vehicles. They discuss the decisions programmers of automated vehicles must make to enable vehicles to perceive their environment, interact with other road users, and choose actions that may have ethical consequences. The authors further identify expectations and concerns that will form the basis for individual and societal acceptance of autonomous driving. While the safety benefits of such vehicles are tremendous, the authors demonstrate that these benefits will only be achieved if vehicles have an appropriate safety concept at the heart of their design. Realizing the potential of automated vehicles to reorganize traffic and transform mobility of people and goods requires similar care in the design of vehicles and networks. By covering all of these topics, the book aims to provide a current, comprehensive, and scientifically sound treatment of the emerging field of “autonomous driving".
Author : Liu Shaoshan
Publisher : Springer Nature
ISBN 13 : 3031018052
Total Pages : 221 pages
Book Rating : 4.0/5 (31 download)
Download or read book Creating Autonomous Vehicle Systems, Second Edition written by Liu Shaoshan and published by Springer Nature. This book was released on 2022-05-31 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is one of the first technical overviews of autonomous vehicles written for a general computing and engineering audience. The authors share their practical experiences designing 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 as to its future 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, new algorithms can be tested so as to update the HD map—in addition to training better recognition, tracking, and decision models. Since the first edition of this book was released, many universities have adopted it in their autonomous driving classes, and the authors received many helpful comments and feedback from readers. Based on this, the second edition was improved by extending and rewriting multiple chapters and adding two commercial test case studies. In addition, a new section entitled “Teaching and Learning from this Book” was added to help instructors better utilize this book in their classes. The second edition captures the latest advances in autonomous driving and that it also presents usable real-world case studies to help readers better understand how to utilize their lessons in commercial autonomous driving projects. 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 extensive references for an effective, deeper exploration of the various technologies.
Author : Sumit Ranjan
Publisher : Packt Publishing Ltd
ISBN 13 : 1838647023
Total Pages : 320 pages
Book Rating : 4.8/5 (386 download)
Download or read book Applied Deep Learning and Computer Vision for Self-Driving Cars written by Sumit Ranjan and published by Packt Publishing Ltd. This book was released on 2020-08-14 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore self-driving car technology using deep learning and artificial intelligence techniques and libraries such as TensorFlow, Keras, and OpenCV Key FeaturesBuild and train powerful neural network models to build an autonomous carImplement computer vision, deep learning, and AI techniques to create automotive algorithmsOvercome the challenges faced while automating different aspects of driving using modern Python libraries and architecturesBook Description Thanks to a number of recent breakthroughs, self-driving car technology is now an emerging subject in the field of artificial intelligence and has shifted data scientists' focus to building autonomous cars that will transform the automotive industry. This book is a comprehensive guide to use deep learning and computer vision techniques to develop autonomous cars. Starting with the basics of self-driving cars (SDCs), this book will take you through the deep neural network techniques required to get up and running with building your autonomous vehicle. Once you are comfortable with the basics, you'll delve into advanced computer vision techniques and learn how to use deep learning methods to perform a variety of computer vision tasks such as finding lane lines, improving image classification, and so on. You will explore the basic structure and working of a semantic segmentation model and get to grips with detecting cars using semantic segmentation. The book also covers advanced applications such as behavior-cloning and vehicle detection using OpenCV, transfer learning, and deep learning methodologies to train SDCs to mimic human driving. By the end of this book, you'll have learned how to implement a variety of neural networks to develop your own autonomous vehicle using modern Python libraries. What you will learnImplement deep neural network from scratch using the Keras libraryUnderstand the importance of deep learning in self-driving carsGet to grips with feature extraction techniques in image processing using the OpenCV libraryDesign a software pipeline that detects lane lines in videosImplement a convolutional neural network (CNN) image classifier for traffic signal signsTrain and test neural networks for behavioral-cloning by driving a car in a virtual simulatorDiscover various state-of-the-art semantic segmentation and object detection architecturesWho this book is for If you are a deep learning engineer, AI researcher, or anyone looking to implement deep learning and computer vision techniques to build self-driving blueprint solutions, this book is for you. Anyone who wants to learn how various automotive-related algorithms are built, will also find this book useful. Python programming experience, along with a basic understanding of deep learning, is necessary to get the most of this book.
