Автор: Thrun, Sebastian Название: Probabilistic robotics ISBN: 0262201623 ISBN-13(EAN): 9780262201629 Издательство: MIT Press Рейтинг: Цена: 14390.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
An introduction to the techniques and algorithms of the newest field in robotics.
Probabilistic robotics is a new and growing area in robotics, concerned with perception and control in the face of uncertainty. Building on the field of mathematical statistics, probabilistic robotics endows robots with a new level of robustness in real-world situations. This book introduces the reader to a wealth of techniques and algorithms in the field. All algorithms are based on a single overarching mathematical foundation. Each chapter provides example implementations in pseudo code, detailed mathematical derivations, discussions from a practitioner's perspective, and extensive lists of exercises and class projects. The book's Web site, www.probabilistic-robotics.org, has additional material. The book is relevant for anyone involved in robotic software development and scientific research. It will also be of interest to applied statisticians and engineers dealing with real-world sensor data.
Автор: Adouane, Lounis Название: Autonomous Vehicle Navigation ISBN: 036757490X ISBN-13(EAN): 9780367574901 Издательство: Taylor&Francis Рейтинг: Цена: 6889.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book explores cloud robotics by casting a light on key issues and proposing a novel approach towards implementation and practical aspects to allow for the widespread adoption of cloud-based functionality. The advent of cloud robotics can to unleash a new generation of smart robotic devices by allowing robots to explore cloud computing capabilities to share data and to offload heavy processing applications. Cloud robotics is investigated as an enabler to a series of applications and devices, questioning how the insertion of network and cloud technologies into such systems might affect the interaction between a robot and the human operating it, and what are the limiting requirements for cloud-based solutions. Aiming at researchers and practitioners, this book also presents a methodology based on open-source software and commercial off-the-shelf devices to provide a common standard for reproducing and benchmarking different cloud robotics systems.
Автор: Kala, Rahul (assistant Professor, Robotics And Artificial Intelligence Laboratory, Indian Institute Of Information Technology, Allahabad, India) Название: Autonomous mobile robots ISBN: 0443189080 ISBN-13(EAN): 9780443189081 Издательство: Elsevier Science Рейтинг: Цена: 28633.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Amitava Chatterjee; Anjan Rakshit; N. Nirmal Singh Название: Vision Based Autonomous Robot Navigation ISBN: 3642426700 ISBN-13(EAN): 9783642426704 Издательство: Springer Рейтинг: Цена: 16977.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book covers the theory and development of autonomous navigation of mobile robots using computer vision based sensing mechanism. It details several new approaches for real life vision based autonomous navigation algorithms.
Описание: This book focuses on pose estimation algorithms for Autonomous Underwater Vehicles (AUVs). After introducing readers to the state of the art, it describes a joint endeavor involving attitude and position estimation, and details the development of a nonlinear attitude observer that employs inertial and magnetic field data and is suitable for underwater use. In turn, it shows how the estimated attitude constitutes an essential type of input for UKF-based position estimators that combine position, depth, and velocity measurements.
The book discusses the possibility of including real-time estimates of sea currents in the developed estimators, and highlights simulations that combine real-world navigation data and experimental test campaigns to evaluate the performance of the resulting solutions. In addition to proposing novel algorithms for estimating the attitudes and positions of AUVs using low-cost sensors and taking into account magnetic disturbances and ocean currents, the book provides readers with extensive information and a source of inspiration for the further development and testing of navigation algorithms for AUVs.
Автор: Castillo-Garcia Pedro Название: Indoor Navigation Strategies for Aerial Autonomous Systems ISBN: 0128051892 ISBN-13(EAN): 9780128051894 Издательство: Elsevier Science Рейтинг: Цена: 15999.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Indoor Navigation Strategies for Aerial Autonomous Systems presents the necessary and sufficient theoretical basis for those interested in working in unmanned aerial vehicles, providing three different approaches to mathematically represent the dynamics of an aerial vehicle.
The book contains detailed information on fusion inertial measurements for orientation stabilization and its validation in flight tests, also proposing substantial theoretical and practical validation for improving the dropped or noised signals. In addition, the book contains different strategies to control and navigate aerial systems.
The comprehensive information will be of interest to both researchers and practitioners working in automatic control, mechatronics, robotics, and UAVs, helping them improve research and motivating them to build a test-bed for future projects.
Автор: Chatterjee Название: Vision Based Autonomous Robot Navigation ISBN: 3642339646 ISBN-13(EAN): 9783642339646 Издательство: Springer Рейтинг: Цена: 19591.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book covers the theory and development of autonomous navigation of mobile robots using computer vision based sensing mechanism. It details several new approaches for real life vision based autonomous navigation algorithms.
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.
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.
Описание: This book focuses on the design, informatics, and energy sustainability of automated and electric vehicles. Both principles and engineering practice have been addressed, from design perspectives toward informatics enabled transport service operation including automated valet parking and charging use cases. This is achieved by providing an in-depth study on a number of major topics such as battery management, eco-driving system, telecommunications, transport and charging services, cyber-security, etc. The book benefits researchers, engineers, and graduate students in the fields of the intelligent transport system, telecommunication, cyber-security, and smart grids.
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.
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