Описание: Simultaneous Localization and Mapping (SLAM) has been a long-standing research problem in robotics. It describes the problem of a robot mapping an unknown environment, while simultaneously localizing in it with the help of the incomplete map. This book describes a technique called Switchable Constraints.Switchable Constraints help to increase the robustness of SLAM against data association errors and in particular against false positive loop closure detections.
Such false positive loop closure detections can occur when the robot erroneously assumes it re-observed a landmark it has already mapped or when the appearance of the observed surroundings is very similar to the appearance of other places in the map. Ambiguous observations and appearances are very common in human-made environments such as office floors or suburban streets, making robustness against spurious observations a key challenge in SLAM. The book summarizes the foundations of factor graph-based SLAM techniques.
It explains the problem of data association errors before introducing the novel idea of Switchable Constraints. We present a mathematical derivation and probabilistic interpretation of Switchable Constraints along with evaluations on different datasets. The book shows that Switchable Constraints are applicable beyond SLAM problems and demonstrates the efficacy of this technique to improve the quality of satellite-based localization in urban environments, where multipath and non-line-of-sight situations are common error sources.
Автор: Janusz Bedkowski Название: Large-Scale Simultaneous Localization and Mapping ISBN: 9811919712 ISBN-13(EAN): 9789811919718 Издательство: Springer Рейтинг: Цена: 18294.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is dedicated for engineers and researchers who would like to increase the knowledge in area of mobile mapping systems.
Описание: Investigates the complexities of the theory of probabilistic localisation and mapping of mobile robots as well as providing the most current and concrete developments. This reference source aims to be useful for practitioners, graduate and postgraduate students, and active researchers alike.
Описание: This book presents the breakthrough and cutting-edge progress for collaborative perception and mapping by proposing a novel framework of multimodal perception-relative localization-collaborative mapping for collaborative robot systems.
Описание: This book presents the breakthrough and cutting-edge progress for collaborative perception and mapping by proposing a novel framework of multimodal perception-relative localization-collaborative mapping for collaborative robot systems.
Автор: Gonzalez, Ramon Rodriguez, Francisco Guzman, Jose Luis Название: Autonomous tracked robots in planar off-road conditions ISBN: 3319383329 ISBN-13(EAN): 9783319383323 Издательство: Springer Рейтинг: Цена: 13677.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Ram?n Gonz?lez; Francisco Rodr?guez; Jos? Luis Guz Название: Autonomous Tracked Robots in Planar Off-Road Conditions ISBN: 3319060376 ISBN-13(EAN): 9783319060378 Издательство: Springer Рейтинг: Цена: 15957.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Juan Andrade Cetto; Alberto Sanfeliu Название: Environment Learning for Indoor Mobile Robots ISBN: 3642069312 ISBN-13(EAN): 9783642069314 Издательство: Springer Рейтинг: Цена: 14817.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This monograph covers theoretical aspects of simultaneous localization and map building for mobile robots. One of the most relevant topics covered in this monograph is the theoretical formalism of partial observability in SLAM.
Автор: Andreas N?chter Название: 3D Robotic Mapping ISBN: 3642100589 ISBN-13(EAN): 9783642100581 Издательство: Springer Рейтинг: Цена: 17096.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This thorough treatment of 3D robotic mapping focuses on acquiring spatial models of physical environments through mobile robots. In it, new solutions to the 6D SLAM problem for 3D laser scans are proposed and a wide variety of applications are presented.
Описание: Simultaneous localization and mapping (SLAM) is a process where an autonomous vehicle builds a map of an unknown environment while concurrently generating an estimate for its location. This book deals with computationally efficient solutions to the large scale SLAM problems using exactly sparse Extended Information Filters (EIF).
Автор: B?dkowski Название: Large-Scale Simultaneous Localization and Mapping ISBN: 9811919747 ISBN-13(EAN): 9789811919749 Издательство: Springer Рейтинг: Цена: 18294.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is dedicated for engineers and researchers who would like to increase the knowledge in area of mobile mapping systems. Therefore, the flow of the derived information is divided into subproblems corresponding to certain mobile mapping data and related observations’ equations. The proposed methodology is not fulfilling all SLAM aspects evident in the literature, but it is based on the experience within the context of the pragmatic and realistic applications. Thus, it can be supportive information for those who are familiar with SLAM and would like to have broader overview in the subject. The novelty is a complete and interdisciplinary methodology for large-scale mobile mapping applications. The contribution is a set of programming examples available as supportive complementary material for this book. All observation equations are implemented, and for each, the programming example is provided. The programming examples are simple C++ implementations that can be elaborated by students or engineers; therefore, the experience in coding is not mandatory. Moreover, since the implementation does not require many additional external programming libraries, it can be easily integrated with any mobile mapping framework. Finally, the purpose of this book is to collect all necessary observation equations and solvers to build computational system capable providing large-scale maps.
Описание: This book advances research on mobile robot localization in unknown environments by focusing on machine-learning-based natural scene recognition.
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
