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Collaborative Perception, Localization and Mapping for Autonomous Systems, Yue Yufeng, Wang Danwei


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Цена: 18167.00р.
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Автор: Yue Yufeng, Wang Danwei
Название:  Collaborative Perception, Localization and Mapping for Autonomous Systems
ISBN: 9789811588594
Издательство: Springer
Классификация:

ISBN-10: 9811588597
Обложка/Формат: Hardcover
Страницы: 141
Вес: 0.40 кг.
Дата издания: 24.12.2020
Язык: English
Размер: 23.39 x 15.60 x 1.12 cm
Ссылка на Издательство: Link
Поставляется из: Германии
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.


Simultaneous Localization And Mapping: Exactly Sparse Information Filters

Автор: Wang Zhan Et Al
Название: Simultaneous Localization And Mapping: Exactly Sparse Information Filters
ISBN: 9814350311 ISBN-13(EAN): 9789814350310
Издательство: World Scientific Publishing
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Цена: 12830.00 р.
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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).

Simultaneous Localization and Mapping for Mobile Robots: Introduction and Methods

Автор: Juan-Antonio Fernandez-Madrigal, Jose Luis Blanco Claraco
Название: Simultaneous Localization and Mapping for Mobile Robots: Introduction and Methods
ISBN: 1466621044 ISBN-13(EAN): 9781466621046
Издательство: Mare Nostrum (Eurospan)
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Цена: 28413.00 р.
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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.

Cluster-based Localization and Tracking in Ubiquitous Computing Systems

Автор: Jos? Ramiro Mart?nez-de Dios; Alberto de San Berna
Название: Cluster-based Localization and Tracking in Ubiquitous Computing Systems
ISBN: 3662547597 ISBN-13(EAN): 9783662547595
Издательство: Springer
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Цена: 7685.00 р.
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Описание: Localization and tracking are key functionalities in ubiquitous computing systems and techniques. This book briefly summarizes the current state of the art in localization and tracking in ubiquitous computing systems focusing on cluster-based schemes.

Machine Learning-based Natural Scene Recognition for Mobile Robot Localization in An Unknown Environment

Автор: Xiaochun Wang; Xiali Wang; Don Mitchell Wilkes
Название: Machine Learning-based Natural Scene Recognition for Mobile Robot Localization in An Unknown Environment
ISBN: 9811392161 ISBN-13(EAN): 9789811392160
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This book advances research on mobile robot localization in unknown environments by focusing on machine-learning-based natural scene recognition. The respective chapters highlight the latest developments in vision-based machine perception and machine learning research for localization applications, and cover such topics as: image-segmentation-based visual perceptual grouping for the efficient identification of objects composing unknown environments; classification-based rapid object recognition for the semantic analysis of natural scenes in unknown environments; the present understanding of the Prefrontal Cortex working memory mechanism and its biological processes for human-like localization; and the application of this present understanding to improve mobile robot localization. The book also features a perspective on bridging the gap between feature representations and decision-making using reinforcement learning, laying the groundwork for future advances in mobile robot navigation research.

Machine Learning-Based Natural Scene Recognition for Mobile Robot Localization in an Unknown Environment

Автор: Wang Xiaochun, Wang Xiali, Wilkes Don Mitchell
Название: Machine Learning-Based Natural Scene Recognition for Mobile Robot Localization in an Unknown Environment
ISBN: 9811392196 ISBN-13(EAN): 9789811392191
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This book advances research on mobile robot localization in unknown environments by focusing on machine-learning-based natural scene recognition.

Large-Scale Visual Geo-Localization

Автор: Amir R. Zamir et al
Название: Large-Scale Visual Geo-Localization
ISBN: 331925779X ISBN-13(EAN): 9783319257792
Издательство: Springer
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Цена: 16769.00 р.
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Описание: Thistimely and authoritative volume explores the bidirectional relationship betweenimages and locations. The text presents a comprehensive review of the state ofthe art in large-scale visual geo-localization, and discusses the emergingtrends in this area. Valuable insights are supplied by a pre-eminent selectionof experts in the field, into a varied range of real-world applications ofgeo-localization. Topics and features: discusses the latest methods to exploitinternet-scale image databases for devising geographically rich features andgeo-localizing query images at different scales; investigates geo-localizationtechniques that are built upon high-level and semantic cues; describes methodsthat perform precise localization by geometrically aligning the query imageagainst a 3D model; reviews techniques that accomplish image understandingassisted by the geo-location, as well as several approaches for geo-localizationunder practical, real-world settings.

Machine Learning for Protein Subcellular Localization Prediction

Автор: Shibiao Wan,Man-Wai Mak
Название: Machine Learning for Protein Subcellular Localization Prediction
ISBN: 1501510487 ISBN-13(EAN): 9781501510489
Издательство: Walter de Gruyter
Цена: 13008.00 р.
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Описание: Comprehensively covers protein subcellular localization from single-label prediction to multi-label prediction, and includes prediction strategies for virus, plant, and eukaryote species. Three machine learning tools are introduced to improve classification refinement, feature extraction, and dimensionality reduction.

Interactive Collaborative Information Systems

Автор: Robert Babu?ka; Frans C.A. Groen
Название: Interactive Collaborative Information Systems
ISBN: 3642116876 ISBN-13(EAN): 9783642116872
Издательство: Springer
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Цена: 41787.00 р.
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Описание: This book explores interactive technologies that support humans in situations in which complex information handling is required, and that facilitate distributed decision-making, offering recent results in interactive collaborative information systems.

Intelligent Networking, Collaborative Systems and Applications

Автор: Santi Caball?; Fatos Xhafa; Ajith Abraham
Название: Intelligent Networking, Collaborative Systems and Applications
ISBN: 364226591X ISBN-13(EAN): 9783642265914
Издательство: Springer
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Цена: 30606.00 р.
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Описание: Social network analysis investigates the structure and dynamics of intelligent Web-based networking and collaborative systems. This volume covers the latest advances in the field that lead to competitive advantages in business and academia.

Advances in Intelligent Networking and Collaborative Systems: The 12th International Conference on Intelligent Networking and Collaborative Systems (I

Автор: Barolli Leonard, Li Kin Fun, Miwa Hiroyoshi
Название: Advances in Intelligent Networking and Collaborative Systems: The 12th International Conference on Intelligent Networking and Collaborative Systems (I
ISBN: 3030577953 ISBN-13(EAN): 9783030577957
Издательство: Springer
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Цена: 34937.00 р.
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Описание:

This book aims to provide the latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to intelligent social networks and collaborative systems, intelligent networking systems, mobile collaborative systems, secure intelligent cloud systems, etc., as well as to reveal synergies among various paradigms in such a multi-disciplinary field intelligent collaborative systems.

With the fast development of the Internet, we are experiencing a shift from the traditional sharing of information and applications as the main purpose of the Web to an emergent paradigm, which locates people at the very centre of networks and exploits the value of people's connections, relations and collaboration. Social networks are also playing a major role in the dynamics and structure of intelligent Web-based networking and collaborative systems.

Virtual campuses, virtual communities and organizations strongly leverage intelligent networking and collaborative systems by a great variety of formal and informal electronic relations, such as business-to-business, peer-to-peer and many types of online collaborative learning interactions, including the emerging e-learning systems. This has resulted in entangled systems that need to be managed efficiently and in an autonomous way. In addition, latest and powerful technologies based on grid and wireless infrastructure as well as cloud computing are currently enhancing collaborative and networking applications as a great deal but also facing new issues and challenges. The principal purpose of the research and development community is to stimulate research that will lead to the creation of responsive environments for networking and, at longer-term, the development of adaptive, secure, mobile and intuitive intelligent systems for collaborative work and learning.

Advances in Intelligent Networking and Collaborative Systems

Автор: Leonard Barolli; Hiroaki Nishino; Hiroyoshi Miwa
Название: Advances in Intelligent Networking and Collaborative Systems
ISBN: 3030290344 ISBN-13(EAN): 9783030290344
Издательство: Springer
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Цена: 32142.00 р.
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Описание: This book presents the latest innovative research findings, methods, and development techniques related to intelligent social networks and collaborative systems, intelligent networking systems, mobile collaborative systems, and secure intelligent cloud systems.

Technology-Enhanced Systems and Tools for Collaborative Learning Scaffolding

Автор: Thanasis Daradoumis; Santi Caball?; Angel A. Juan;
Название: Technology-Enhanced Systems and Tools for Collaborative Learning Scaffolding
ISBN: 3642267920 ISBN-13(EAN): 9783642267925
Издательство: Springer
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Цена: 23508.00 р.
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Описание: Technology-enhanced systems and computer-aided tools that support scaffolding in collaborative learning are key goals in the education research sector. This book covers a number of approaches to fostering functional collaborative learning and working online.


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