Autonomous and Connected Heavy Vehicle Technology, Krishnamurthi Rajalakshmi, Kumar Adarsh, Gill Sukhpal Singh
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: 23734.00 р. 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.
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.
Автор: M J Nunney Название: Light And Heavy Vehicle Technology ISBN: 0750680377 ISBN-13(EAN): 9780750680370 Издательство: Taylor&Francis Рейтинг: Цена: 3960.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Describes the design, construction and operation of the many and varied components of modern motor vehicles, including the knowledge needed to service and repair them. This book offers coverage of both cars and heavier vehicles, featuring over 1000 illustrations. It is suitable for students of automotive engineering.
Автор: Rodrick Wallace Название: Canonical Instabilities of Autonomous Vehicle Systems ISBN: 3319699342 ISBN-13(EAN): 9783319699349 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The asymptotic limit theorems of control and information theories make it possible to explore the dynamics of collapse likely to afflict large-scale systems of autonomous ground vehicles that communicate with each other and with an embedding intelligent roadway.
Описание: The CAFE system has changed the way teachers assess, teach, and track student information, and positively impacted the way students learn. This updated, second edition demonstrates that reading instruction is not about the setting, the basal, or the book level. Rather, effective reading instruction is based on what the student needs in the moment.
Описание: The next generation of autonomous vehicles will provide major improvements in traffic flow, fuel efficiency, and vehicle safety. Several challenges currently prevent the deployment of autonomous vehicles, one aspect of which is robust and adaptable vehicle control. Designing a controller for autonomous vehicles capable of providing adequate performance in all driving scenarios is challenging due to the highly complex environment and inability to test the system in the wide variety of scenarios which it may encounter after deployment. However, deep learning methods have shown great promise in not only providing excellent performance for complex and non-linear control problems, but also in generalizing previously learned rules to new scenarios. For these reasons, the use of deep neural networks for vehicle control has gained significant interest. In this book, we introduce relevant deep learning techniques, discuss recent algorithms applied to autonomous vehicle control, identify strengths and limitations of available methods, discuss research challenges in the field, and provide insights into the future trends in this rapidly evolving field.
Автор: Liu Shaoshan, Li Liyun, Tang Jie Название: Creating Autonomous Vehicle Systems ISBN: 1681739356 ISBN-13(EAN): 9781681739359 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 10672.00 р. 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.
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.
Описание: One of the critically important questions that has emerged about advanced technologies in transportation is how to test the actual effects of these advanced systems on safety. Richard Young does a deep dive into these questions by reviewing and then critically analyzing the first six scientific studies of AV crash rates.
Автор: Wang Yunpeng, Tian Daxin, Sheng Zhengguo Название: Connected Vehicle Systems: Communication, Data, and Control ISBN: 0367573229 ISBN-13(EAN): 9780367573225 Издательство: Taylor&Francis Рейтинг: Цена: 6889.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book covers emerging research that aims at dealing with the challenges in designing the essential functional components of connected vehicles including intra- and inter-vehicle communications, mobility model of fleet and ramp merging, trace and position data analysis, security and privacy.
Автор: Nunney Название: Light and Heavy Vehicle Technology, 4th ed ISBN: 113812835X ISBN-13(EAN): 9781138128354 Издательство: Taylor&Francis Рейтинг: Цена: 22202.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Light and Heavy Vehicle Technology, Fourth Edition, provides a complete text and reference to the design, construction and operation of the many and varied components of modern motor vehicles, including the knowledge needed to service and repair them. This book provides incomparable coverage of both cars and heavier vehicles, featuring over 1000 illustrations.
This new edition has been brought fully up to date with modern practices and designs, whilst maintaining the information needed to deal with older vehicles. Two entirely new sections of the book provide a topical introduction to alternative power sources and fuels, and battery-electric, hybrid and fuel-cell vehicles. More information on the latest developments in fuel injection, diesel engines and transmissions has also been added. An expanded list of technical abbreviations now contains over 200 entries - a useful resource for professional technicians in their day-to-day work. This book is an essential textbook for all students of automotive engineering, particularly on IMI / C&G 4000 series and BTEC courses and provides all the underpinning knowledge required for NVQs to level 3. By bridging the gap between basic and more advanced treatments of the subject, it also acts as a useful source of information for experienced technicians and technically minded motorists, and will help them to improve their knowledge and skills.
Автор: Liu Shaoshan, Li Liyun, Tang Jie Название: Creating Autonomous Vehicle Systems ISBN: 1681739372 ISBN-13(EAN): 9781681739373 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 13583.00 р. 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.
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