Principles Of Intelligent Automobiles
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| Author | : Xiubin Zhang |
| Publisher | : Springer |
| Total Pages | : 286 |
| Release | : 2018-09-12 |
| Genre | : Technology & Engineering |
| ISBN | : 9811324840 |
This book discusses the principle of automotive intelligent technology from the point of view of modern sensing and intelligent control. Based on the latest research in the field, it explores safe driving with intelligent vision; intelligent monitoring of dangerous driving; intelligent detection of automobile power and transmission systems; intelligent vehicle navigation and transportation systems; and vehicle-assisted intelligent technology. It draws on the author’s research in the field of automotive intelligent technology to explain the fundamentals of vehicle intelligent technology, from the information sensing principle to mathematical models and the algorithm basis, enabling readers to grasp the concepts of automotive intelligent technology. Opening up new scientific horizons and fostering innovative thinking, the book is a valuable resource for researchers as well as undergraduate and graduate students.
| Author | : James M. Anderson |
| Publisher | : Rand Corporation |
| Total Pages | : 215 |
| Release | : 2014-01-10 |
| Genre | : Transportation |
| ISBN | : 0833084372 |
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 | : Shaoshan Liu |
| Publisher | : Morgan & Claypool Publishers |
| Total Pages | : 285 |
| Release | : 2017-10-25 |
| Genre | : Computers |
| ISBN | : 1681731673 |
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 | : Jiajia Liu |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2024-10-21 |
| Genre | : Computers |
| ISBN | : 9788770043038 |
This book is concerned with the recognition and protection against such threats.Security for ICVs includes information across the fields of automobile engineering, artificial intelligence, computer, microelectronics, automatic control, communication technology, big data, edge/cloud computing and others.
| Author | : Azim Eskandarian |
| Publisher | : Springer |
| Total Pages | : 0 |
| Release | : 2012-02-26 |
| Genre | : Technology & Engineering |
| ISBN | : 9780857290847 |
The Handbook of Intelligent Vehicles provides a complete coverage of the fundamentals, new technologies, and sub-areas essential to the development of intelligent vehicles; it also includes advances made to date, challenges, and future trends. Significant strides in the field have been made to date; however, so far there has been no single book or volume which captures these advances in a comprehensive format, addressing all essential components and subspecialties of intelligent vehicles, as this book does. Since the intended users are engineering practitioners, as well as researchers and graduate students, the book chapters do not only cover fundamentals, methods, and algorithms but also include how software/hardware are implemented, and demonstrate the advances along with their present challenges. Research at both component and systems levels are required to advance the functionality of intelligent vehicles. This volume covers both of these aspects in addition to the fundamentals listed above.
| Author | : Xiubin Zhang |
| Publisher | : Springer Nature |
| Total Pages | : 315 |
| Release | : 2022-11-28 |
| Genre | : Technology & Engineering |
| ISBN | : 9811960720 |
This book systematically expounds on the scientific principles and technologies of Rail Transit Intelligent Technology based on the high development of artificial intelligence theory and technology. The contents include technical principles, theoretical algorithms and practical engineering technologies of intelligent monitoring of rail transit system, intelligent sensing and identification of train power system, intelligent technology in rail transit system operation, intelligent maintenance of carriage environment, etc. It can be used as a textbook or teaching reference book for related fields in universities, including rail transit system, communication, automation, intelligent equipment design and manufacturing, artificial intelligence, computer science and technology, electrical engineering and automation, etc. It is used as an academic reference for professionals in rail transit system design, operation, and maintenance.
| Author | : Markus Maurer |
| Publisher | : Springer |
| Total Pages | : 698 |
| Release | : 2016-05-21 |
| Genre | : Technology & Engineering |
| ISBN | : 3662488477 |
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 | : Ljubo Vlacic |
| Publisher | : Elsevier |
| Total Pages | : 519 |
| Release | : 2001-06-13 |
| Genre | : Computers |
| ISBN | : 0080534872 |
'Intelligent Vehicle Technologies' covers the growing field of intelligent technologies, from intelligent control systems to intelligent sensors. Systems such as in-car navigation devices and cruise control are already being introduced into modern vehicles, but manufacturers are now racing to develop systems such as 'smart' cruise control, on-vehicle driver information systems, collision avoidance systems, vision enhancement and roadworthiness diagnostics systems. aimed specifically at the automotive industrypacked with practical examples and applicationsin-depth treatment written in a text book style (rather than a theoretical specialist text style)
| Author | : Vishwanadham Mandala |
| Publisher | : JEC PUBLICATION |
| Total Pages | : 245 |
| Release | : |
| Genre | : History |
| ISBN | : 9361754173 |
| Author | : David Fernández-Llorca |
| Publisher | : |
| Total Pages | : 752 |
| Release | : 2020 |
| Genre | : |
| ISBN | : 9783039434039 |
This book presents the results of the successful Sensors Special Issue on Intelligent Vehicles that received submissions between March 2019 and May 2020. The Guest Editors of this Special Issue are Dr. David Fernández-Llorca, Dr. Ignacio Parra-Alonso, Dr. Iván García-Daza and Dr. Noelia Parra-Alonso, all from the Computer Engineering Department at the University of Alcalá (Madrid, Spain). A total of 32 manuscripts were finally accepted between 2019 and 2020, presented by top researchers from all over the world. The reader will find a well-representative set of current research and developments related to sensors and sensing for intelligent vehicles. The topics of the published manuscripts can be grouped into seven main categories: (1) assistance systems and automatic vehicle operation, (2) vehicle positioning and localization, (3) fault diagnosis and fail-x systems, (4) perception and scene understanding, (5) smart regenerative braking systems for electric vehicles, (6) driver behavior modeling and (7) intelligent sensing. We, the Guest Editors, hope that the readers will find this book to contain interesting papers for their research, papers that they will enjoy reading as much as we have enjoyed organizing this Special Issue.
