Online Appearance-Based Place Recognition and Mapping: Their Role in Autonomous Navigation

Online Appearance-Based Place Recognition and Mapping: Their Role in Autonomous Navigation

Author
Konstantinos A. Tsintotas, Loukas Bampis, Antonios Gasteratos
Publisher
Springer
Language
English
Year
2022
Page
124
ISBN
303109395X,9783031093951
File Type
pdf
File Size
4.9 MiB

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.

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