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Titlebook: Methods for Appearance-based Loop Closure Detection; Applications to Topo Emilio Garcia-Fidalgo,Alberto Ortiz Book 2018 Springer Internatio

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发表于 2025-3-21 16:53:26 | 显示全部楼层 |阅读模式
书目名称Methods for Appearance-based Loop Closure Detection
副标题Applications to Topo
编辑Emilio Garcia-Fidalgo,Alberto Ortiz
视频video
概述Addresses the vision-based loop closure detection problem from different points of view.Deals with the problem of generating topological maps of the environment using efficient appearance-based loop c
丛书名称Springer Tracts in Advanced Robotics
图书封面Titlebook: Methods for Appearance-based Loop Closure Detection; Applications to Topo Emilio Garcia-Fidalgo,Alberto Ortiz Book 2018 Springer Internatio
描述.Mapping and localization are two essential tasks in autonomous mobile robotics. Due to the unavoidable noise that sensors present, mapping algorithms usually rely on loop closure detection techniques, which entail the correct identification of previously seen places to reduce the uncertainty of the resulting maps. This book deals with the problem of generating topological maps of the environment using efficient appearance-based loop closure detection techniques. Since the quality of a visual loop closure detection algorithm is related to the image description method and its ability to index previously seen images, several methods for loop closure detection adopting different approaches are developed and assessed. Then, these methods are used in three novel topological mapping algorithms. The results obtained indicate that the solutions proposed attain a better performance than several state-of-the-art approaches. To conclude, given that loop closure detection is also a key componentin other research areas, a multi-threaded image mosaicing algorithm is proposed. This approach makes use of one of the loop closure detection techniques previously introduced in order to find overlappin
出版日期Book 2018
关键词Place Recognition; Loop Closure; Mapping; Localization; Mosaicing; Bag-of-Words
版次1
doihttps://doi.org/10.1007/978-3-319-75993-7
isbn_softcover978-3-030-09373-0
isbn_ebook978-3-319-75993-7Series ISSN 1610-7438 Series E-ISSN 1610-742X
issn_series 1610-7438
copyrightSpringer International Publishing AG, part of Springer Nature 2018
The information of publication is updating

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Literature Review,relies on this aspect. Three fundamental categories are distinguished: approaches based on global descriptors, approaches based on local features and approaches based on Bag-Of-Words (BoW) schemes. We also consider different combinations of these methods.
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Fast Image Mosaicking Using Incremental Bags of Binary Words,pology of the image sequence, has to be determined to generate the image composite. To this end, BIMOS makes use of OBIndex to find overlapping pairs. BIMOS has been validated using image sequences from several kinds of environments.
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Book 2018 usually rely on loop closure detection techniques, which entail the correct identification of previously seen places to reduce the uncertainty of the resulting maps. This book deals with the problem of generating topological maps of the environment using efficient appearance-based loop closure dete
发表于 2025-3-22 18:47:25 | 显示全部楼层
Hierarchical Loop Closure Detection for Topological Mapping,t, the global descriptor of the current image is used to determine the most similar location of the map; next, local image features are employed to determine the most likely image within that location.
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Experimental Setup,luation and a number of relevant public datasets representing different scenarios of operation. The algorithms have as well been compared against some state-of-the-art solutions. The goal of this chapter is to summarize this experimental framework, which will be used to evaluate the solutions proposed in the rest of the book.
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