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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2020
License: CC BY
Data sources: ZENODO
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Nordland-Part-2020

Authors: Sourav Garg;

Nordland-Part-2020

Abstract

The zip contains two folders: summer and winter, where each one of them comprises 1750 images which were used for experiments conducted in the paper: "Delta Descriptors: Change-Based Place Representation for Robust Visual Localization" published in IEEE Robotics and Automation Letters (RA-L) 2020 and presented at the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2020. Source code for the paper is made publicly available on GitHub: https://github.com/oravus/DeltaDescriptors The provided dataset is only a part of the original videos released here: https://nrkbeta.no/2013/01/15/nordlandsbanen-minute-by-minute-season-by-season/ These videos were first used for visual place recognition in the paper: "Are We There Yet? Challenging SeqSLAM on a 3000 km Journey Across All Four Seasons", published at the Workshop on Long-Term Autonomy held in conjunction with the International Conference on Robotics and Automation (ICRA), 2013.

{"references": ["S\u00fcnderhauf, Niko, Peer Neubert, and Peter Protzel. \"Are we there yet? Challenging SeqSLAM on a 3000 km journey across all four seasons.\" Proc. of Workshop on Long-Term Autonomy, IEEE International Conference on Robotics and Automation (ICRA). 2013."]}

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Keywords

Visual Place Recognition, Visual Localization

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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