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Online Appearance-Based Place Recognition and Mapping : Their Role in Autonomous Navigation / by Konstantinos A. Tsintotas, Loukas Bampis, Antonios Gasteratos

By: Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Springer Tracts in Advanced Robotics ; 133Publisher: Cham : Springer International Publishing, 2022Publisher: Cham : Imprint: Springer, 2022Edition: 1st ed. 2022Description: 1 Online-Ressource(XXI, 111 p. 40 illus., 35 illus. in color.)ISBN:
  • 9783031093968
Subject(s): Additional physical formats: 9783031093951 | 9783031093975 | 9783031093982 | Erscheint auch als: 9783031093951 Druck-Ausgabe | Erscheint auch als: 9783031093975 Druck-Ausgabe | Erscheint auch als: 9783031093982 Druck-AusgabeDOI: DOI: 10.1007/978-3-031-09396-8Online resources: Summary: The revisiting problem in simultaneous localization and mapping -- Benchmarking -- Probabilistic appearance-based place recognition through hierarchical mapping -- Dynamic places’ definition for sequence-based visual place recognition -- Modest-vocabulary loop-closure detection with incremental bag of Tracked words -- Open challenges and conclusion.Summary: 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.PPN: PPN: 1815860499Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-INR | ZDB-2-SXIT
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