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: Kudriashov Andrii, Buratowski Tomasz, Giergiel Mariusz Название: Slam Techniques Application for Mobile Robot in Rough Terrain ISBN: 3030489809 ISBN-13(EAN): 9783030489809 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Introduction.- Robotic inspection of pipelines.- Design of a pipeline inspection mobile robot with an active adaptation mechanism.- Mathematical modeling of the robot.- Simulations of the robot adaptation and motion in various environments.- Control system design and implementation.- Prototype of the pipe inspection robot.- Discussion, conclusions and future work.
Автор: Karl Iagnemma; Steven Dubowsky Название: Mobile Robots in Rough Terrain ISBN: 3642060269 ISBN-13(EAN): 9783642060267 Издательство: Springer Рейтинг: Цена: 16977.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This monograph discusses issues related to estimation, control, and motion planning for mobile robots operating in rough terrain, with particular attention to planetary exploration rovers. Specific addressed topics are: wheel terrain interaction modeling, including terrain parameter estimation and wheel terrain contact angle estimation;
Автор: Pierre Lamon Название: 3D-Position Tracking and Control for All-Terrain Robots ISBN: 3642096948 ISBN-13(EAN): 9783642096945 Издательство: Springer Рейтинг: Цена: 16977.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book shows how to improve accuracy of position tracking, viewing rough terrain locomotion as a holistic problem. Proposes a mechanical structure allowing smooth motion over obstacles with limited wheel slip, using sensors which improve position estimates.
Автор: David J. Manko Название: A General Model of Legged Locomotion on Natural Terrain ISBN: 1461365880 ISBN-13(EAN): 9781461365884 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Dynamic modeling is the fundamental building block for mechanism analysis, design, control and performance evaluation. The model was applied to a prototype walking machine, and simulations generated significant insights into walking machine performance on natural terrain.
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: Поставка под заказ.
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: 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: Поставка под заказ.
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: Dimiter Driankov; Alessandro Saffiotti Название: Fuzzy Logic Techniques for Autonomous Vehicle Navigation ISBN: 3790824798 ISBN-13(EAN): 9783790824797 Издательство: Springer Рейтинг: Цена: 30606.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In the past decade a critical mass of work that uses fuzzy logic for autonomous vehicle navigation has been reported.
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: This comprehensive new resource brings you up to date on recent developments in the classification of hyperspectral images using both spectral and spatial information, including advanced statistical approaches and methods. The inclusion of spatial information to traditional approaches for hyperspectral classification has been one of the most active and relevant innovative lines of research in remote sensing during recent years. This book gives you insight into several important challenges when performing hyperspectral image classification related to the imbalance between high dimensionality and limited availability of training samples, or the presence of mixed pixels in the data. This book also shows you how to integrate spatial and spectral information in order to take advantage of the benefits that both sources of information provide
Описание: When discussing classification, support vector machines are known to be a capable and efficient technique to learn and predict with high accuracy within a quick time frame.
Описание: Soft Computing Approach to Pattern Classification and Object Recognition establishes an innovative, unified approach to supervised pattern classification and model-based occluded object recognition.
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