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Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2021.06.038
Abstract: Abstract Visual place recognition (VPR) in environments subject to extreme appearance variation due to changing weather, illumination or seasons is a challenging task. Recent works have shown that features learned from CNNs can achieve promising…
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Keywords:
learnable feature;
place recognition;
feature;
feature map ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2901984
Abstract: Visual place recognition (VPR) is a fundamental but challenging problem that has not been solved completely for a long time, especially in a kaleidoscopic environment. Recent advanced works which exploit ConvNet landmarks as a representation…
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Keywords:
convnet;
place recognition;
convnet landmark;
landmark based ... See more keywords
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2
Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3246803
Abstract: Visual place recognition (VPR) is considered among the most complicated tasks in SLAM due to the multiple challenges of drastic variations in both appearance and viewpoint. To address this issue, this article presents a self-supervised…
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Keywords:
appearance geometric;
geometric information;
self supervised;
visual place ... See more keywords
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Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3487171
Abstract: Visual Place Recognition (VPR) is a fundamental task in robotics and computer vision, where the ability to recognize locations from visual inputs is crucial for autonomous navigation systems. Traditional methods, which rely on handcrafted features…
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Keywords:
place recognition;
hybrid attention;
attention;
visual place ... See more keywords
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1
Published in 2018 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2018.2856542
Abstract: Reliable and efficient visual place recognition is a major building block of modern SLAM systems. Leveraging on our prior work, in this letter, we present a Hamming distance embedding binary search tree (HBST) approach for…
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Keywords:
place recognition;
search;
visual place;
embedding binary ... See more keywords
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Published in 2021 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2020.3043171
Abstract: Visual place recognition (VPR) algorithms are a key part of many autonomous systems, but typically consist of many parameters which require non-trivial optimization for a given deployment environment. Being able to automatically select the optimal…
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Keywords:
optimal operating;
operating;
place recognition;
visual place ... See more keywords
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2
Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3219030
Abstract: Visual place recognition (VPR) is the process of identifying previously visited places using visual information. It is crucial for a robot to achieve fast and accurate VPR under appearance and viewpoint changes. Inspired by human…
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Keywords:
semantic image;
lightweight semantic;
descriptor;
visual place ... See more keywords
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Published in 2025 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2025.3585715
Abstract: Visual Place Recognition (VPR) localizes a query image by matching it against a database of geo-tagged reference images, making it essential for navigation and mapping in robotics. Although Vision Transformer (ViT) solutions deliver high accuracy,…
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Keywords:
place recognition;
transformer approach;
visual place;
ternary transformer ... See more keywords
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Published in 2024 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2025.3559084
Abstract: Visual place recognition (VPR) aims to determine the general geographical location of a query image by retrieving visually similar images from a large geo-tagged database. To obtain a global representation for each place image, most…
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Keywords:
place recognition;
deep features;
decoder;
visual place ... See more keywords
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Published in 2021 at "Applied Sciences"
DOI: 10.3390/app11198976
Abstract: As mobile robots perform long-term operations in large-scale environments, coping with perceptual changes becomes an important issue recently. This paper introduces a stochastic variational inference and learning architecture that can extract condition-invariant features for visual…
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Keywords:
visual place;
condition;
place recognition;
condition invariant ... See more keywords