| dc.contributor.author | Magrin, Carlos Eduardo | |
| dc.contributor.author | Bombardelli, Felipe Gustavo | |
| dc.contributor.author | Da Cruz, Wander | |
| dc.contributor.author | Todt, Eduardo | |
| dc.date.accessioned | 2025-12-08T17:56:20Z | |
| dc.date.available | 2025-12-08T17:56:20Z | |
| dc.date.issued | 2025-03-07 | |
| dc.identifier.uri | http://dx.doi.org/10.5380/bdc/103 | |
| dc.description.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. | pt_BR |
| dc.language.iso | en | pt_BR |
| dc.relation.ispartof | https://github.com/VRI-UFPR/ufpr-map | pt_BR |
| dc.subject | dataset | pt_BR |
| dc.subject | multi-sensor | pt_BR |
| dc.subject | mobile robot | pt_BR |
| dc.subject | sensor fusion | pt_BR |
| dc.subject | SLAM | pt_BR |
| dc.subject | geodetic ground-truth | pt_BR |
| dc.title | VRI4WD UFPR-Map Dataset | pt_BR |
| dc.type | Dataset | pt_BR |
| dcterms.bibliographicCitation | The VRI4WD robot captures diverse multi-sensor data from both indoor and outdoor environments. This rich dataset is systematically recorded and managed using ROSbag, which allows for the synchronized storage of raw sensor streams via ROS topics. | pt_BR |
| dcterms.bibliographicCitation | The VRI4WD robot captures diverse multi-sensor data from both indoor and outdoor environments. This rich dataset is systematically recorded and managed using ROSbag, which allows for the synchronized storage of raw sensor streams via ROS topics. | pt_BR |
| dcterms.bibliographicCitation | The VRI4WD robot captures diverse multi-sensor data from both indoor and outdoor environments. This rich dataset is systematically recorded and managed using ROSbag, which allows for the synchronized storage of raw sensor streams via ROS topics. | pt_BR |
| dcterms.bibliographicCitation | The VRI4WD robot captures diverse multi-sensor data from both indoor and outdoor environments. This rich dataset is systematically recorded and managed using ROSbag, which allows for the synchronized storage of raw sensor streams via ROS topics. | pt_BR |
