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

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: 51230.00 T
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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.

Автор: Yue Yufeng, Wang Danwei
Название: Collaborative Perception, Localization and Mapping for Autonomous Systems
ISBN: 9811588597 ISBN-13(EAN): 9789811588594
Издательство: Springer
Цена: 121110.00 T
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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: 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: 189420.00 T
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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.

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: 85530.00 T
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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).

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: 86720.00 T
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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.

Автор: Jose A. Castellanos; Juan D. Tard?s
Название: Mobile Robot Localization and Map Building
ISBN: 1461369827 ISBN-13(EAN): 9781461369820
Издательство: Springer
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Цена: 130610.00 T
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Описание: A rough classification of mobile robots can be considered: on the one hand, mobile robots oriented to human-made indoor environments; on the other hand, mobile robots oriented to unstructured outdoor environments, which could include flying oriented robots, space-oriented robots and underwater robots.

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: 93160.00 T
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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.

Автор: Yan Jing, Zhao Haiyan, Meng Yuan
Название: Localization in Underwater Sensor Networks
ISBN: 9811648301 ISBN-13(EAN): 9789811648304
Издательство: Springer
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Цена: 139750.00 T
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Описание: However, the openness and weak communication characteristics of USNs make underwater localization much more challenging in comparison to terrestrial sensor networks. In this book, we focus on the localization problem in USNs, taking into account the unique characteristics of the underwater 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: 93160.00 T
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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.

Автор: Rosario Aragues; Carlos Sag??s; Youcef Mezouar
Название: Parallel and Distributed Map Merging and Localization
ISBN: 3319258842 ISBN-13(EAN): 9783319258843
Издательство: Springer
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Цена: 46570.00 T
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Описание:

Introduction

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: 111790.00 T
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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.

Автор: Duin Ann Hill, Pedersen Isabel
Название: Writing Futures: Collaborative, Algorithmic, Autonomous
ISBN: 3030709272 ISBN-13(EAN): 9783030709273
Издательство: Springer
Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is useful to understand and write alongside non-human agents, examine the impact of algorithms and AI on writing, and accommodate relationships with autonomous agents. This book prepares researchers, students, practitioners, and citizens to work with AI writers, virtual humans, and social robots.