Online Appearance-Based Place Recognition and Mapping
Their Role in Autonomous Navigation
(Sprache: Englisch)
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...
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Klappentext zu „Online Appearance-Based Place Recognition and Mapping “
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.
Inhaltsverzeichnis zu „Online Appearance-Based Place Recognition and Mapping “
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.
Bibliographische Angaben
- Autoren: Konstantinos A. Tsintotas , Loukas Bampis , Antonios Gasteratos
- 2022, 1st ed. 2022, XXI, 111 Seiten, 35 farbige Abbildungen, Masse: 15,5 x 23,5 cm, Gebunden, Englisch
- Verlag: Springer, Berlin
- ISBN-10: 303109395X
- ISBN-13: 9783031093951
Sprache:
Englisch
Pressezitat
"This excellent book changes the game for autonomous robot navigation. ... The cherry on top is the book's vibrant and captivating full-color presentation. ... it deftly appraises the latest state-of-the-art innovations and advancements in place recognition and mapping, cementing its position as an indispensable reference for the robot navigation industry." (Athanasios D. Styliadis, Computing Reviews, October 11, 2023)
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