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First published 2024-4

MAgro dataset: A dataset for simultaneous localization and mapping in agricultural environments

Mercedes Marzoa Tanco, Guillermo Trinidad Barnech, Federico Andrade [...]

The International Journal of Robotics Research

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Research article

First published 2024-5

Under-canopy dataset for advancing simultaneous localization and mapping in agricultural robotics

Jose Cuaran, Andres Eduardo Baquero Velasquez, Mateus Valverde Gasparino [...]

The International Journal of Robotics Research

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First published 2023-8

Eiffel Tower: A deep-sea underwater dataset for long-term visual localization

Clémentin Boittiaux, Claire Dune, Maxime Ferrera [...]

The International Journal of Robotics Research

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First published 2010-1

Scalable Clustering for Mining Local-Correlated Clusters in High Dimensions and Large Datasets

Kun-Che Lu, Don-Lin Yang

Fundamenta Informaticae

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First published 2022-2

A large-scale dataset for indoor visual localization with high-precision ground truth

Yuchen Liu, Wei Gao, Zhanyi Hu

The International Journal of Robotics Research

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First published 2025

M2UD: A multi-model,multi-scenario,uneven-terrain dataset for ground robot with localization and mapping evaluation

Yanpeng Jia, Shiyi Wang, Shiliang Shao [...]

The International Journal of Robotics Research

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Research article

First published 2011-7

The UTIAS multi-robot cooperative localization and mapping dataset

Keith YK Leung, Yoni Halpern, Timothy D Barfoot [...]

The International Journal of Robotics Research

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Research article

First published 2026-1

Heterogeneous LiDAR dataset for benchmarking robust localization in diverse degenerate scenarios

Zhiqiang Chen, Yuhua Qi, Dapeng Feng [...]

The International Journal of Robotics Research

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First published 2019-12

AQUALOC: An underwater dataset for visual–inertial–pressure localization

Maxime Ferrera, Vincent Creuze, Julien Moras [...]

The International Journal of Robotics Research

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First published 2023-9

GROUNDED: A localizing ground penetrating radar evaluation dataset for learning to localize in inclement weather

Teddy Ort, Igor Gilitschenski, Daniela Rus

The International Journal of Robotics Research

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