Theories And Practices Of Self Driving Vehicles

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Theories and Practices of Self-Driving Vehicles

Qingguo Zhou,Zebang Shen,Binbin Yong,Rui Zhao,Peng Zhi
Theories and Practices of Self Driving Vehicles Book PDF

Author : Qingguo Zhou,Zebang Shen,Binbin Yong,Rui Zhao,Peng Zhi
Publisher : Elsevier
Page : 346 pages
File Size : 50,9 Mb
Release : 2022-07-03
Category : Technology & Engineering
ISBN : 9780323994491

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Theories and Practices of Self-Driving Vehicles by Qingguo Zhou,Zebang Shen,Binbin Yong,Rui Zhao,Peng Zhi Pdf

Self-driving vehicles are a rapidly growing area of research and expertise. Theories and Practice of Self-Driving Vehicles presents a comprehensive introduction to the technology of self driving vehicles across the three domains of perception, planning and control. The title systematically introduces vehicle systems from principles to practice, including basic knowledge of ROS programming, machine and deep learning, as well as basic modules such as environmental perception and sensor fusion. The book introduces advanced control algorithms as well as important areas of new research. This title offers engineers, technicians and students an accessible handbook to the entire stack of technology in a self-driving vehicle. Theories and Practice of Self-Driving Vehicles presents an introduction to self-driving vehicle technology from principles to practice. Ten chapters cover the full stack of driverless technology for a self-driving vehicle. Written by two authors experienced in both industry and research, this book offers an accessible and systematic introduction to self-driving vehicle technology. Provides a comprehensive introduction to the technology stack of a self-driving vehicle Covers the three domains of perception, planning and control Offers foundational theory and best practices Introduces advanced control algorithms and high-potential areas of new research Gives engineers, technicians and students an accessible handbook to self-driving vehicle technology and applications

Human Performance in Automated and Autonomous Systems

Mustapha Mouloua,Peter A. Hancock
Human Performance in Automated and Autonomous Systems Book PDF

Author : Mustapha Mouloua,Peter A. Hancock
Publisher : CRC Press
Page : 457 pages
File Size : 53,9 Mb
Release : 2019-09-19
Category : Technology & Engineering
ISBN : 9780429857416

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Human Performance in Automated and Autonomous Systems by Mustapha Mouloua,Peter A. Hancock Pdf

This book examines recent advances in theories, models, and methods relevant to automated and autonomous systems. The following chapters provide perspectives on modern autonomous systems, such as self-driving cars and unmanned aerial systems, directly from the professionals working with and studying them. Current theories surrounding topics such as vigilance, trust, and fatigue are examined throughout as predictors of human performance in the operation of automated systems. The challenges related to attention and effort in autonomous vehicles described within give credence to still-developing methods of training and selecting operators of such unmanned systems. The book further recognizes the need for human-centered approaches to design; a carefully crafted automated technology that places the "human user" in the center of that design process. Features Combines scientific theories with real-world applications where automated technologies are implemented Disseminates new understanding as to how automation is now transitioning to autonomy Highlights the role of individual and team characteristics in the piloting of unmanned systems and how models of human performance are applied in system design Discusses methods for selecting and training individuals to succeed in an age of increasingly complex human-machine systems Provides explicit benchmark comparisons of progress across the last few decades, and identifies future prognostications and the constraints that impinge upon these lines of progress Human Performance in Automated and Autonomous Systems: Current Theory and Methods illustrates the modern scientific theories and methods to be applied in real-world automated technologies.

Human-Like Decision Making and Control for Autonomous Driving

Peng Hang,Chen Lv,Xinbo Chen
Human Like Decision Making and Control for Autonomous Driving Book PDF

Author : Peng Hang,Chen Lv,Xinbo Chen
Publisher : CRC Press
Page : 237 pages
File Size : 42,6 Mb
Release : 2022-07-25
Category : Mathematics
ISBN : 9781000625028

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Human-Like Decision Making and Control for Autonomous Driving by Peng Hang,Chen Lv,Xinbo Chen Pdf

This book details cutting-edge research into human-like driving technology, utilising game theory to better suit a human and machine hybrid driving environment. Covering feature identification and modelling of human driving behaviours, the book explains how to design an algorithm for decision making and control of autonomous vehicles in complex scenarios. Beginning with a review of current research in the field, the book uses this as a springboard from which to present a new theory of human-like driving framework for autonomous vehicles. Chapters cover system models of decision making and control, driving safety, riding comfort and travel efficiency. Throughout the book, game theory is applied to human-like decision making, enabling the autonomous vehicle and the human driver interaction to be modelled using noncooperative game theory approach. It also uses game theory to model collaborative decision making between connected autonomous vehicles. This framework enables human-like decision making and control of autonomous vehicles, which leads to safer and more efficient driving in complicated traffic scenarios. The book will be of interest to students and professionals alike, in the field of automotive engineering, computer engineering and control engineering.

Autonomous driving algorithms and Its IC Design

Jianfeng Ren,Dong Xia
Autonomous driving algorithms and Its IC Design Book PDF

Author : Jianfeng Ren,Dong Xia
Publisher : Springer Nature
Page : 306 pages
File Size : 49,9 Mb
Release : 2023-08-09
Category : Technology & Engineering
ISBN : 9789819928972

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Autonomous driving algorithms and Its IC Design by Jianfeng Ren,Dong Xia Pdf

With the rapid development of artificial intelligence and the emergence of various new sensors, autonomous driving has grown in popularity in recent years. The implementation of autonomous driving requires new sources of sensory data, such as cameras, radars, and lidars, and the algorithm processing requires a high degree of parallel computing. In this regard, traditional CPUs have insufficient computing power, while DSPs are good at image processing but lack sufficient performance for deep learning. Although GPUs are good at training, they are too “power-hungry,” which can affect vehicle performance. Therefore, this book looks to the future, arguing that custom ASICs are bound to become mainstream. With the goal of ICs design for autonomous driving, this book discusses the theory and engineering practice of designing future-oriented autonomous driving SoC chips. The content is divided into thirteen chapters, the first chapter mainly introduces readers to the current challenges and research directions in autonomous driving. Chapters 2–6 focus on algorithm design for perception and planning control. Chapters 7–10 address the optimization of deep learning models and the design of deep learning chips, while Chapters 11-12 cover automatic driving software architecture design. Chapter 13 discusses the 5G application on autonomous drving. This book is suitable for all undergraduates, graduate students, and engineering technicians who are interested in autonomous driving.

Social Practices and Dynamic Non-Humans

Cecily Maller,Yolande Strengers
Social Practices and Dynamic Non Humans Book PDF

Author : Cecily Maller,Yolande Strengers
Publisher : Springer
Page : 272 pages
File Size : 52,7 Mb
Release : 2018-07-20
Category : Social Science
ISBN : 9783319921891

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Social Practices and Dynamic Non-Humans by Cecily Maller,Yolande Strengers Pdf

The robots are coming! So too is the ‘age of automation’, the march of ‘invasive’ species, more intense natural disasters, and a potential cataclysm of other unprecedented events and phenomena of which we do not yet know, and cannot predict. This book is concerned with how to account for these non-humans and their effects within theories of social practice. In particular, this provocative collection tackles contemporary debates about the roles, relations and agencies of constantly changing, disruptive, intelligent or otherwise 'dynamic' non-humans, such as weather, animals and automated devices. In doing so contributors challenge and take forward existing understandings of dynamic non-humans in theories of social practice by reconsidering their potential roles in everyday life. The book will benefit sociology, geography, science and technology studies, and human- (and animal-) computer interaction design scholars seeking to make sense of the complex entanglement of non-human phenomena and things in the performance of social practices.

Autonomous Driving

Markus Maurer,J. Christian Gerdes,Barbara Lenz,Hermann Winner
Autonomous Driving Book PDF

Author : Markus Maurer,J. Christian Gerdes,Barbara Lenz,Hermann Winner
Publisher : Springer
Page : 706 pages
File Size : 44,8 Mb
Release : 2016-05-21
Category : Technology & Engineering
ISBN : 9783662488478

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Autonomous Driving by Markus Maurer,J. Christian Gerdes,Barbara Lenz,Hermann Winner Pdf

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".

Autonomous Driving

Andreas Herrmann,Walter Brenner,Rupert Stadler
Autonomous Driving Book PDF

Author : Andreas Herrmann,Walter Brenner,Rupert Stadler
Publisher : Emerald Group Publishing
Page : 464 pages
File Size : 47,6 Mb
Release : 2018-03-26
Category : Business & Economics
ISBN : 9781787148338

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Autonomous Driving by Andreas Herrmann,Walter Brenner,Rupert Stadler Pdf

The technology and engineering behind autonomous driving is advancing at pace. This book presents the latest technical advances and the economic, environmental and social impact driverless cars will have on individuals and the automotive industry.

Learning to Drive

David Michael Stavens
Learning to Drive Book PDF

Author : David Michael Stavens
Publisher : Stanford University
Page : 104 pages
File Size : 45,5 Mb
Release : 2011
Category : Electronic
ISBN : STANFORD:pb661px9942

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Learning to Drive by David Michael Stavens Pdf

Every year, 1.2 million people die in automobile accidents and up to 50 million are injured. Many of these deaths are due to driver error and other preventable causes. Autonomous or highly aware cars have the potential to positively impact tens of millions of people. Building an autonomous car is not easy. Although the absolute number of traffic fatalities is tragically large, the failure rate of human driving is actually very small. A human driver makes a fatal mistake once in about 88 million miles. As a co-founding member of the Stanford Racing Team, we have built several relevant prototypes of autonomous cars. These include Stanley, the winner of the 2005 DARPA Grand Challenge and Junior, the car that took second place in the 2007 Urban Challenge. These prototypes demonstrate that autonomous vehicles can be successful in challenging environments. Nevertheless, reliable, cost-effective perception under uncertainty is a major challenge to the deployment of robotic cars in practice. This dissertation presents selected perception technologies for autonomous driving in the context of Stanford's autonomous cars. We consider speed selection in response to terrain conditions, smooth road finding, improved visual feature optimization, and cost effective car detection. Our work does not rely on manual engineering or even supervised machine learning. Rather, the car learns on its own, training itself without human teaching or labeling. We show this "self-supervised" learning often meets or exceeds traditional methods. Furthermore, we feel self-supervised learning is the only approach with the potential to provide the very low failure rates necessary to improve on human driving performance.

Introduction to Self-Driving Vehicle Technology

Hanky Sjafrie
Introduction to Self Driving Vehicle Technology Book PDF

Author : Hanky Sjafrie
Publisher : CRC Press
Page : 255 pages
File Size : 44,7 Mb
Release : 2019-11-27
Category : Computers
ISBN : 9781000711776

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Introduction to Self-Driving Vehicle Technology by Hanky Sjafrie Pdf

This book aims to teach the core concepts that make Self-driving vehicles (SDVs) possible. It is aimed at people who want to get their teeth into self-driving vehicle technology, by providing genuine technical insights where other books just skim the surface. The book tackles everything from sensors and perception to functional safety and cybersecurity. It also passes on some practical know-how and discusses concrete SDV applications, along with a discussion of where this technology is heading. It will serve as a good starting point for software developers or professional engineers who are eager to pursue a career in this exciting field and want to learn more about the basics of SDV algorithms. Likewise, academic researchers, technology enthusiasts, and journalists will also find the book useful. Key Features: Offers a comprehensive technological walk-through of what really matters in SDV development: from hardware, software, to functional safety and cybersecurity Written by an active practitioner with extensive experience in series development and research in the fields of Advanced Driver Assistance Systems (ADAS) and Autonomous Driving Covers theoretical fundamentals of state-of-the-art SLAM, multi-sensor data fusion, and other SDV algorithms. Includes practical information and hands-on material with Robot Operating System (ROS) and Open Source Car Control (OSCC). Provides an overview of the strategies, trends, and applications which companies are pursuing in this field at present as well as other technical insights from the industry.

Autonomous Intelligent Vehicles

Hong Cheng
Autonomous Intelligent Vehicles Book PDF

Author : Hong Cheng
Publisher : Springer Science & Business Media
Page : 151 pages
File Size : 40,8 Mb
Release : 2011-11-15
Category : Computers
ISBN : 9781447122807

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Autonomous Intelligent Vehicles by Hong Cheng Pdf

This important text/reference presents state-of-the-art research on intelligent vehicles, covering not only topics of object/obstacle detection and recognition, but also aspects of vehicle motion control. With an emphasis on both high-level concepts, and practical detail, the text links theory, algorithms, and issues of hardware and software implementation in intelligent vehicle research. Topics and features: presents a thorough introduction to the development and latest progress in intelligent vehicle research, and proposes a basic framework; provides detection and tracking algorithms for structured and unstructured roads, as well as on-road vehicle detection and tracking algorithms using boosted Gabor features; discusses an approach for multiple sensor-based multiple-object tracking, in addition to an integrated DGPS/IMU positioning approach; examines a vehicle navigation approach using global views; introduces algorithms for lateral and longitudinal vehicle motion control.

Autonomous Vehicle Technology

James M. Anderson,Kalra Nidhi,Karlyn D. Stanley,Paul Sorensen,Constantine Samaras,Oluwatobi A. Oluwatola
Autonomous Vehicle Technology Book PDF

Author : James M. Anderson,Kalra Nidhi,Karlyn D. Stanley,Paul Sorensen,Constantine Samaras,Oluwatobi A. Oluwatola
Publisher : Rand Corporation
Page : 214 pages
File Size : 46,6 Mb
Release : 2014-01-10
Category : Transportation
ISBN : 9780833084378

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Autonomous Vehicle Technology by James M. Anderson,Kalra Nidhi,Karlyn D. Stanley,Paul Sorensen,Constantine Samaras,Oluwatobi A. Oluwatola Pdf

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.

Creating Autonomous Vehicle Systems, Second Edition

Liu Shaoshan,Li Liyun,Tang Jie,Wu Shuang,Gaudiot Jean-Luc
Creating Autonomous Vehicle Systems Second Edition Book PDF

Author : Liu Shaoshan,Li Liyun,Tang Jie,Wu Shuang,Gaudiot Jean-Luc
Publisher : Springer Nature
Page : 221 pages
File Size : 54,6 Mb
Release : 2022-05-31
Category : Mathematics
ISBN : 9783031018053

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Creating Autonomous Vehicle Systems, Second Edition by Liu Shaoshan,Li Liyun,Tang Jie,Wu Shuang,Gaudiot Jean-Luc Pdf

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.

Energy-Efficient Driving of Road Vehicles

Antonio Sciarretta,Ardalan Vahidi
Energy Efficient Driving of Road Vehicles Book PDF

Author : Antonio Sciarretta,Ardalan Vahidi
Publisher : Springer
Page : 294 pages
File Size : 44,6 Mb
Release : 2019-08-01
Category : Technology & Engineering
ISBN : 9783030241278

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Energy-Efficient Driving of Road Vehicles by Antonio Sciarretta,Ardalan Vahidi Pdf

This book elaborates the science and engineering basis for energy-efficient driving in conventional and autonomous cars. After covering the physics of energy-efficient motion in conventional, hybrid, and electric powertrains, the book chiefly focuses on the energy-saving potential of connected and automated vehicles. It reveals how being connected to other vehicles and the infrastructure enables the anticipation of upcoming driving-relevant factors, e.g. hills, curves, slow traffic, state of traffic signals, and movements of nearby vehicles. In turn, automation allows vehicles to adjust their motion more precisely in anticipation of upcoming events, and to save energy. Lastly, the energy-efficient motion of connected and automated vehicles could have a harmonizing effect on mixed traffic, leading to additional energy savings for neighboring vehicles. Building on classical methods of powertrain modeling, optimization, and optimal control, the book further develops the theory of energy-efficient driving. In addition, it presents numerous theoretical and applied case studies that highlight the real-world implications of the theory developed. The book is chiefly intended for undergraduate and graduate engineering students and industry practitioners with a background in mechanical, electrical, or automotive engineering, computer science or robotics.

Advanced Driver Intention Inference

Yang Xing,Chen Lv,Dongpu Cao
Advanced Driver Intention Inference Book PDF

Author : Yang Xing,Chen Lv,Dongpu Cao
Publisher : Elsevier
Page : 260 pages
File Size : 50,6 Mb
Release : 2020-03-15
Category : Technology & Engineering
ISBN : 9780128191149

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Advanced Driver Intention Inference by Yang Xing,Chen Lv,Dongpu Cao Pdf

Advanced Driver Intention Inference: Theory and Design describes one of the most important function for future ADAS, namely, the driver intention inference. The book contains the state-of-art knowledge on the construction of driver intention inference system, providing a better understanding on how the human driver intention mechanism will contribute to a more naturalistic on-board decision system for automated vehicles. Features examples of using machine learning/deep learning to build industry products Depicts future trends for driver behavior detection and driver intention inference Discuss traffic context perception techniques that predict driver intentions such as Lidar and GPS

Control Strategies for Advanced Driver Assistance Systems and Autonomous Driving Functions

Harald Waschl,Ilya Kolmanovsky,Frank Willems
Control Strategies for Advanced Driver Assistance Systems and Autonomous Driving Functions Book PDF

Author : Harald Waschl,Ilya Kolmanovsky,Frank Willems
Publisher : Springer
Page : 235 pages
File Size : 47,9 Mb
Release : 2018-06-28
Category : Technology & Engineering
ISBN : 9783319915692

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Control Strategies for Advanced Driver Assistance Systems and Autonomous Driving Functions by Harald Waschl,Ilya Kolmanovsky,Frank Willems Pdf

This book describes different methods that are relevant to the development and testing of control algorithms for advanced driver assistance systems (ADAS) and automated driving functions (ADF). These control algorithms need to respond safely, reliably and optimally in varying operating conditions. Also, vehicles have to comply with safety and emission legislation. The text describes how such control algorithms can be developed, tested and verified for use in real-world driving situations. Owing to the complex interaction of vehicles with the environment and different traffic participants, an almost infinite number of possible scenarios and situations that need to be considered may exist. The book explains new methods to address this complexity, with reference to human interaction modelling, various theoretical approaches to the definition of real-world scenarios, and with practically-oriented examples and contributions, to ensure efficient development and testing of ADAS and ADF. Control Strategies for Advanced Driver Assistance Systems and Autonomous Driving Functions is a collection of articles by international experts in the field representing theoretical and application-based points of view. As such, the methods and examples demonstrated in the book will be a valuable source of information for academic and industrial researchers, as well as for automotive companies and suppliers.