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VRI4WD UFPR-Map Dataset

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Indoor A to B path dataset (1.224Gb)
Outdoor B to C path dataset (1.408Gb)
Outdoor D to E path dataset (1.020Gb)
Outdoor E to B path dataset (1.326Gb)
Indoor B to F path dataset (1.940Gb)
Date
2025-03-07
Author
Magrin, Carlos Eduardo
Bombardelli, Felipe Gustavo
Da Cruz, Wander
Todt, Eduardo
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Subject
dataset
multi-sensor
mobile robot
sensor fusion
SLAM
geodetic ground-truth
xmlui.dri2xhtml.METS-1.0.item-type
Dataset
Abstract
The VRI4WD UFPR-MAP dataset is a comprehensive, structured resource for research in autonomous mobile robot localization and mapping. It addresses the challenges of hybrid environments by providing extensive raw data collected from multiple low-cost sensors across diverse indoor and outdoor trajectories. A cornerstone of the UFPR-MAP dataset is its precise ground-truth information, established through rigorous geodetic and topographic methods, offering unparalleled accuracy for validation purposes. Researchers are encouraged to leverage this dataset to develop and evaluate advanced multi-sensor fusion techniques, particularly for robust and adaptable perception-action systems in complex, real-world scenarios.
DOI: http://dx.doi.org/10.5380/bdc/103
This resource is related to:
https://github.com/VRI-UFPR/ufpr-map
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Biblioteca Central
Rua General Carneiro, nº 370/380.
Centro - Curitiba/PR
CEP: 80.060-150
DSpace software copyright © 2002-2018  DuraSpace
Contact Us | Send Feedback
Theme by Atmire