VRI4WD UFPR-Map Dataset
Date
2025-03-07Author
Magrin, Carlos Eduardo
Bombardelli, Felipe Gustavo
Da Cruz, Wander
Todt, Eduardo
Metadata
Show full item recordSubject
datasetmulti-sensor
mobile robot
sensor fusion
SLAM
geodetic ground-truth
xmlui.dri2xhtml.METS-1.0.item-type
DatasetAbstract
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.
This resource is related to:
https://github.com/VRI-UFPR/ufpr-mapCollections
- Dados [70]

