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Titlebook: Online Appearance-Based Place Recognition and Mapping; Their Role in Autono Konstantinos A. Tsintotas,Loukas Bampis,Antonios G Book 2022 Th

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發(fā)表于 2025-3-21 17:35:39 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Online Appearance-Based Place Recognition and Mapping
副標題Their Role in Autono
編輯Konstantinos A. Tsintotas,Loukas Bampis,Antonios G
視頻videohttp://file.papertrans.cn/702/701506/701506.mp4
概述Introduces several appearance-based place recognition pipelines based on different mapping techniques.Addresses loop-closure detection in mobile platforms with limited computational resources.Covers r
叢書名稱Springer Tracts in Advanced Robotics
圖書封面Titlebook: Online Appearance-Based Place Recognition and Mapping; Their Role in Autono Konstantinos A. Tsintotas,Loukas Bampis,Antonios G Book 2022 Th
描述.This book introduces several appearance-based place recognition pipelines based on different mapping techniques for addressing loop-closure detection in mobile platforms with limited computational resources. The motivation behind this book has been the prospect that in many contemporary applications efficient methods are needed that can provide high performance under run-time and memory constraints. Thus, three different mapping techniques for addressing the task of place recognition for simultaneous localization and mapping (SLAM) are presented. The book at hand follows a tutorial-based structure describing each of the main parts needed for a loop-closure detection pipeline to facilitate the newcomers. It mainly goes through a historical review of the problem, focusing on how it was addressed during the years reaching the current age. This way, the reader is initially familiarized with each part while the place recognition paradigms follow..
出版日期Book 2022
關(guān)鍵詞Vision-based Navigation; Autonomous Robots; Loop-closure Detection; Place Recognition; SLAM
版次1
doihttps://doi.org/10.1007/978-3-031-09396-8
isbn_softcover978-3-031-09398-2
isbn_ebook978-3-031-09396-8Series ISSN 1610-7438 Series E-ISSN 1610-742X
issn_series 1610-7438
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Benchmarking, the evaluation metrics [.]. Accordingly to the case under study, a variety of datasets exist in the literature. The ground truth is typically formed in the shape of a boolean matrix whose columns and rows denote observations recorded at different time indices (.,?.). Hence, the 1 indicates a loop-c
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,Dynamic Places’ Definition for Sequence-Based Visual Place Recognition,proves a sequence-based visual place recognition pipeline; however, this functionality is computationally costly since the robot needs to compare its query place with every possible sub-map that not exhibits the same semantics as its neighboring ones. Aiming for an efficient and low-complexity frame
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,Modest-Vocabulary Loop-Closure Detection with Incremental Bag of?Tracked Words,r an incremental BoW method based on feature tracking, that is, the Bag of Tracked Words (BoTW) is presented. Exploiting the advantages presented in the previous chapters, the KLT point tracker is utilized to formulate such a vocabulary, accompanied by a guided feature selection technique. Each poin
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stems. Although there is a robust body of research on this relationship, these studies focus on a particular subset of personality constructs. Therefore, there are still personality traits with untapped potential that can provide new findings and inform the design of user-centered visualization syst
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