SwitchHit: A Probabilistic, Complementarity-Based Switching System for Improved Visual Place Recognition in Changing Environments-Reference-Cited by-同舟云学术

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SwitchHit: A Probabilistic, Complementarity-Based Switching System for Improved Visual Place Recognition in Changing Environments

Published:2022-10-23 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
language:
Short-container-title:

Author:

Waheed Maria¹,Milford Michael²,McDonald-Maier Klaus¹,Ehsan Shoaib¹

Affiliation:

1. School of Computer Science and Electronic Engineering, University of Essex,Colchester,United Kingdom,CO4 3SQ

2. School of Electrical Engineering and Computer Science, Queensland University of Technology,Brisbane,QLD,Australia,4000

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9981026/9981028/09981722.pdf?arnumber=9981722

Reference38 articles.

1. VPR-Bench: An Open-Source Visual Place Recognition Evaluation Framework with Quantifiable Viewpoint and Appearance Change

2. Scene Signatures: Localised and Point-less Features for Localisation

3. Improving Visual Place Recognition Performance by Maximising Complementarity

4. Lightweight Unsupervised Deep Loop Closure

5. Surf: Speeded up robust features;bay;Proc ECCV,0

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Complementarity-Based Switch-Fuse System for Improved Visual Place Recognition;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01

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