Simultaneous Localization And Mapping
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Simultaneous Localization And Mapping For Mobile Robots Introduction And Methods
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Author : Fernández-Madrigal, Juan-Antonio
language : en
Publisher: IGI Global
Release Date : 2012-09-30
Simultaneous Localization And Mapping For Mobile Robots Introduction And Methods written by Fernández-Madrigal, Juan-Antonio and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-09-30 with Technology & Engineering categories.
As mobile robots become more common in general knowledge and practices, as opposed to simply in research labs, there is an increased need for the introduction and methods to Simultaneous Localization and Mapping (SLAM) and its techniques and concepts related to robotics. Simultaneous Localization and Mapping for Mobile Robots: Introduction and Methods investigates the complexities of the theory of probabilistic localization 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.
Simultaneous Localization And Mapping
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Author : Zhan Wang
language : en
Publisher: World Scientific
Release Date : 2011-05-31
Simultaneous Localization And Mapping written by Zhan Wang and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-05-31 with Computers categories.
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 is concerned with computationally efficient solutions to the large scale SLAM problems using exactly sparse Extended Information Filters (EIF). The invaluable book also provides a comprehensive theoretical analysis of the properties of the information matrix in EIF-based algorithms for SLAM. Three exactly sparse information filters for SLAM are described in detail, together with two efficient and exact methods for recovering the state vector and the covariance matrix. Proposed algorithms are extensively evaluated both in simulation and through experiments. Contents:IntroductionSparse Information Filters in SLAMDecoupling Localization and MappingD-SLAM Local Map Joining FilterSparse Local Submap Joining Filter Readership: Researchers, academics, and graduate students in robotics and automated systems. Keywords:Simultaneous Localization and Mapping (SLAM);Extended Information Filter (EIF);Sparseness
Robotics And Cognitive Approaches To Spatial Mapping
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Author : Margaret E. Jefferies
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-01-10
Robotics And Cognitive Approaches To Spatial Mapping written by Margaret E. Jefferies and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-01-10 with Technology & Engineering categories.
This important work is an attempt to synthesize two areas that need to be treated in tandem. The book brings together the fields of robot spatial mapping and cognitive spatial mapping, which share some common core problems. One would expect some cross-fertilization of research between the two areas to have occurred, yet this has begun only recently. There are now signs that some synthesis is happening, so this work is a timely one for students and engineers in robotics.
Fastslam
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Author : Michael Montemerlo
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-01-18
Fastslam written by Michael Montemerlo and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-01-18 with Technology & Engineering categories.
This monograph describes a new family of algorithms for the simultaneous localization and mapping (SLAM) problem in robotics, called FastSLAM. The FastSLAM-type algorithms have enabled robots to acquire maps of unprecedented size and accuracy, in a number of robot application domains and have been successfully applied in different dynamic environments, including a solution to the problem of people tracking.
3d Robotic Mapping
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Author : Andreas Nüchter
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-01-17
3d Robotic Mapping written by Andreas Nüchter and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-01-17 with Technology & Engineering categories.
Focuses on acquiring spatial models of physical environments through mobile robots The robotic mapping problem is commonly referred to as SLAM (simultaneous localization and mapping). 3D maps are necessary to avoid collisions with complex obstacles and to self-localize in six degrees of freedom (x-, y-, z-position, roll, yaw and pitch angle) New solutions to the 6D SLAM problem for 3D laser scans are proposed and a wide variety of applications are presented
Switchable Constraints For Robust Simultaneous Localization And Mapping And Satellite Based Localization
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Author : Niko Sünderhauf
language : en
Publisher: Springer Nature
Release Date : 2023-04-07
Switchable Constraints For Robust Simultaneous Localization And Mapping And Satellite Based Localization written by Niko Sünderhauf and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-07 with Technology & Engineering categories.
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.
Robotic Mapping And Exploration
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Author : Cyrill Stachniss
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-04-27
Robotic Mapping And Exploration written by Cyrill Stachniss and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-04-27 with Technology & Engineering categories.
"Robotic Mapping and Exploration" is an important contribution in the area of simultaneous localization and mapping (SLAM) for autonomous robots, which has been receiving a great deal of attention by the research community in the latest few years. The contents are focused on the autonomous mapping learning problem. Solutions include uncertainty-driven exploration, active loop closing, coordination of multiple robots, learning and incorporating background knowledge, and dealing with dynamic environments. Results are accompanied by a rich set of experiments, revealing a promising outlook toward the application to a wide range of mobile robots and field settings, such as search and rescue, transportation tasks, or automated vacuum cleaning.
Introduction To Visual Slam
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Author : Xiang Gao
language : en
Publisher: Springer Nature
Release Date : 2021-09-28
Introduction To Visual Slam written by Xiang Gao and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-28 with Technology & Engineering categories.
This book offers a systematic and comprehensive introduction to the visual simultaneous localization and mapping (vSLAM) technology, which is a fundamental and essential component for many applications in robotics, wearable devices, and autonomous driving vehicles. The book starts from very basic mathematic background knowledge such as 3D rigid body geometry, the pinhole camera projection model, and nonlinear optimization techniques, before introducing readers to traditional computer vision topics like feature matching, optical flow, and bundle adjustment. The book employs a light writing style, instead of the rigorous yet dry approach that is common in academic literature. In addition, it includes a wealth of executable source code with increasing difficulty to help readers understand and use the practical techniques. The book can be used as a textbook for senior undergraduate or graduate students, or as reference material for researchers and engineers in related areas.
Simultaneous Localization And Mapping In A Dynamic Noisy Environment
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Author :
language : en
Publisher:
Release Date : 2019
Simultaneous Localization And Mapping In A Dynamic Noisy Environment written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Algorithm categories.
Simultaneous Localization and Mapping (SLAM) is a significant problem that has been extensively researched in robotics. Its contribution to autonomous robot navigation has attracted researchers towards focusing on this area. In the past, various techniques have been proposed to address SLAM problem with remarkable achievements but there are several factors having the capability to degrade the effectiveness of SLAM technique. These factors include environmental noises (light intensity and shadow), dynamic environment, kidnap robot and computational cost. These problems create inconsistency that can lead to erroneous results in implementation. In the attempt of addressing these problems, a novel SLAM technique Known as DIK-SLAM was proposed.
Fastslam
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Author : Michael Montemerlo
language : en
Publisher: Springer
Release Date : 2009-09-02
Fastslam written by Michael Montemerlo and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-09-02 with Technology & Engineering categories.
This monograph describes a new family of algorithms for the simultaneous localization and mapping (SLAM) problem in robotics, called FastSLAM. The FastSLAM-type algorithms have enabled robots to acquire maps of unprecedented size and accuracy, in a number of robot application domains and have been successfully applied in different dynamic environments, including a solution to the problem of people tracking.