Online Appearance-Based Place Recognition and Mapping - Their Role in Autonomous Navigation (Hardcover, 1st ed. 2022)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Springer Tracts in Advanced Robotics, 133
Release date:	October 2022
First published:	2022
Authors:	Konstantinos A. Tsintotas • Loukas Bampis • Antonios Gasteratos
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	111
Edition:	1st ed. 2022
ISBN-13:	978-3-03-109395-1
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General Promotions
LSN:	3-03-109395-X
Barcode:	9783031093951

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