Large-Scale Simultaneous Localization and Mapping, Janusz Bedkowski

Автор: Andreas N?chter
Название: 3D Robotic Mapping
ISBN: 3642100589 ISBN-13(EAN): 9783642100581
Издательство: Springer
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Цена: 130590.00 T
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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.

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: Juan Andrade Cetto; Alberto Sanfeliu
Название: Environment Learning for Indoor Mobile Robots
ISBN: 3642069312 ISBN-13(EAN): 9783642069314
Издательство: Springer
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Цена: 113180.00 T
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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: 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: Michael John Milford
Название: Robot Navigation from Nature
ISBN: 3642096263 ISBN-13(EAN): 9783642096266
Издательство: Springer
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Цена: 130590.00 T
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Описание: This pioneering book describes the development of a robot mapping and navigation system inspired by models of the neural mechanisms underlying spatial navigation in the rodent hippocampus. This is the first research to test existing models of rodent spatial mapping and navigation on robots in large, challenging, real world environments.

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: Yue Yufeng, Wang Danwei
Название: Collaborative Perception, Localization and Mapping for Autonomous Systems
ISBN: 9811588627 ISBN-13(EAN): 9789811588624
Издательство: Springer
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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: David Israel Gonz?lez Aguirre
Название: Visual Perception for Humanoid Robots
ISBN: 331997839X ISBN-13(EAN): 9783319978390
Издательство: Springer
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Цена: 93160.00 T
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Описание: This book provides an overview of model-based environmental visual perception for humanoid robots. The visual perception of a humanoid robot creates a bidirectional bridge connecting sensor signals with internal representations of environmental objects. The objective of such perception systems is to answer two fundamental questions: What & where is it? To answer these questions using a sensor-to-representation bridge, coordinated processes are conducted to extract and exploit cues matching robot’s mental representations to physical entities. These include sensor & actuator modeling, calibration, filtering, and feature extraction for state estimation. This book discusses the following topics in depth: • Active Sensing: Robust probabilistic methods for optimal, high dynamic range image acquisition are suitable for use with inexpensive cameras. This enables ideal sensing in arbitrary environmental conditions encountered in human-centric spaces. The book quantitatively shows the importance of equipping robots with dependable visual sensing. • Feature Extraction & Recognition: Parameter-free, edge extraction methods based on structural graphs enable the representation of geometric primitives effectively and efficiently. This is done by eccentricity segmentation providing excellent recognition even on noisy & low-resolution images. Stereoscopic vision, Euclidean metric and graph-shape descriptors are shown to be powerful mechanisms for difficult recognition tasks. • Global Self-Localization & Depth Uncertainty Learning: Simultaneous feature matching for global localization and 6D self-pose estimation are addressed by a novel geometric and probabilistic concept using intersection of Gaussian spheres. The path from intuition to the closed-form optimal solution determining the robot location is described, including a supervised learning method for uncertainty depth modeling based on extensive ground-truth training data from a motion capture system.The methods and experiments are presented in self-contained chapters with comparisons and the state of the art. The algorithms were implemented and empirically evaluated on two humanoid robots: ARMAR III-A & B. The excellent robustness, performance and derived results received an award at the IEEE conference on humanoid robots and the contributions have been utilized for numerous visual manipulation tasks with demonstration at distinguished venues such as ICRA, CeBIT, IAS, and Automatica.

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: Mahdi Rezaei; Reinhard Klette
Название: Computer Vision for Driver Assistance
ISBN: 3319844261 ISBN-13(EAN): 9783319844268
Издательство: Springer
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Цена: 121110.00 T
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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