Autonomous Vehicles: Business, Technology and Law, Van Uytsel Steven, Vasconcellos Vargas Danilo
Автор: Natasa Zivic, Obaid Ur-Rehman Название: Security in Autonomous Driving ISBN: 3110627078 ISBN-13(EAN): 9783110627077 Издательство: Walter de Gruyter Цена: 136310.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Autonomous driving is an emerging field. Vehicles are equipped with different systems such as radar, lidar, GPS etc. that enable the vehicle to make decisions and navigate without user's input, but there are still concerns regarding safety and security. This book analyses the security needs and solutions which are beneficial to autonomous driving.
Автор: Hussein T Mouftah; Melike Erol-Kantarci; Sameh Sorour Название: Connected and Autonomous Vehicles in Smart Cities ISBN: 0367350343 ISBN-13(EAN): 9780367350345 Издательство: Taylor&Francis Рейтинг: Цена: 158230.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book covers five fundamental pillars paving the road towards future of connected autonomous electric vehicles and smart cities. The connectivity pillar covers the latest technologies on vehicle-to-everything (V2X) networking and vehicular cloud computing, focusing on their role towards vehicle autonomy and smart cities applications.
Автор: Van Uytsel Steven, Vasconcellos Vargas Danilo Название: Autonomous Vehicles: Business, Technology and Law ISBN: 9811592543 ISBN-13(EAN): 9789811592546 Издательство: Springer Цена: 130430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This edited book aims to address challenges facing the deployment of autonomous vehicles. Further, it provides insight into how regulators are responding to the insufficiently tested technology and how lawyers try to answer the liability question for accidents with these autonomous vehicles.
Автор: Ronald K. Jurgen Название: Autonomous Vehicles and V2V/V2I Communications Set ISBN: 0768080371 ISBN-13(EAN): 9780768080377 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 86850.00 T Наличие на складе: Невозможна поставка. Описание: This two-volume set consists of Autonomous Vehicles for Safer Driving, published in 2013, and V2V/V2I Communications for Improved Road Safety and Efficiency, published in 2012. Both volumes include SAE-published documents that have been carefully selected to provide the reader with current information on these interrelated topics.
Автор: Denton, Tom Название: Electric and Hybrid Vehicles ISBN: 0367273233 ISBN-13(EAN): 9780367273231 Издательство: Taylor&Francis Рейтинг: Цена: 37760.00 T Наличие на складе: Нет в наличии. Описание: This straightforward and highly illustrated full colour textbook is endorsed by by the Institute of the Motor Industry, and introduces the subject for further education and undergraduate students as well as technicians. This new edition includes a new section on diagnostics and completely updated case studies.
Автор: Shifeng Wang Название: Road Terrain Classification Technology for Autonomous Vehicle ISBN: 9811361541 ISBN-13(EAN): 9789811361548 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides cutting-edge insights into autonomous vehicles and road terrain classification, and introduces a more rational and practical method for identifying road terrain. It presents the MRF algorithm, which combines the various sensors’ classification results to improve the forward LRF for predicting upcoming road terrain types. The comparison between the predicting LRF and its corresponding MRF show that the MRF multiple-sensor fusion method is extremely robust and effective in terms of classifying road terrain. The book also demonstrates numerous applications of road terrain classification for various environments and types of autonomous vehicle, and includes abundant illustrations and models to make the comparison tables and figures more accessible.
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.
Автор: Liu Shaoshan, Li Liyun, Tang Jie Название: Creating Autonomous Vehicle Systems ISBN: 1681739356 ISBN-13(EAN): 9781681739359 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 71150.00 T Наличие на складе: Нет в наличии. Описание:
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.
Автор: Wang Shifeng Название: Road Terrain Classification Technology for Autonomous Vehicle ISBN: 9811361576 ISBN-13(EAN): 9789811361579 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides cutting-edge insights into autonomous vehicles and road terrain classification, and introduces a more rational and practical method for identifying road terrain.
Автор: Chai Zhanxiang, Nie Tianxin, Becker Jan Название: Autonomous Driving Changes the Future ISBN: 9811567271 ISBN-13(EAN): 9789811567278 Издательство: Springer Рейтинг: Цена: 35390.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book systematically discusses the development of autonomous driving, describing the related history, technological advances, infrastructure, social impacts, international competition, China`s opportunities and challenges, and possible future scenarios.
Автор: Benjamin Seiferth Название: Development of a system for selective pasture care by an autonomous mobile machine ISBN: 3662616548 ISBN-13(EAN): 9783662616543 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: reduced quantity and quality of pasture forage are chiefly due to insufficient pasture care. The prototype developed and discussed here, based on a commercially available remote-controlled mulcher, performs the selective pasture maintenance needed for precision farming.
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