Visual Place Recognition: A Tutorial

被引：14

作者：

Schubert, Stefan ^{[1
]}

Neubert, Peer ^{[2
]}

Garg, Sourav ^{[3
]}

Milford, Michael ^{[4
]}

Fischer, Tobias ^{[4
]}

机构：

[1] Tech Univ Chemnitz, Dept Elect Engn & Informat Technol, D-09126 Chemnitz, Germany

[2] Univ Koblenz, Computat Visualist, D-56070 Koblenz, Germany

[3] Univ Adelaide, Australian Inst Machine Learning, Adelaide 5000, Australia

[4] Queensland Univ Technol, QUT Ctr Robot, Sch Elect Engn & Comp Sci, Brisbane 4000, Australia

来源：

IEEE ROBOTICS & AUTOMATION MAGAZINE | 2024年 / 31卷 / 03期

基金：

澳大利亚研究理事会;

关键词：

Simultaneous localization and mapping; Tutorials; Visualization; Pipelines; Global navigation satellite system; Robots; History; LOCALIZATION; MAP;

D O I：

10.1109/MRA.2023.3310859

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Localization is an essential capability for mobile robots, enabling them to build a comprehensive representation of their environment and interact with the environment effectively toward a goal. A rapidly growing field of research in this area is visual place recognition (VPR), which is the ability to recognize previously seen places in the world based solely on images.

引用

页码：139 / 153

页数：15

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