Multi-sensor mapping and localization datasets
<p>This is a dataset for testing outdoors mapping and localization algorithms. It contains two Rosbag files that provide different measurements from an 3D Velodyne LIDAR, a visual sensor, an altimeter, an IMU, and Ultra-Wide-Band Time-of-Flight sensors, all mounted in an aerial vehicle. The ground-truth localization of the robot is given by a RTK GPS with accuracy of < 2cm. The transformations between sensor frames are also given in the bags. The flight experiments were conducted in an outdoors scenario near Seville, during September 2018.</p>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 0
- Engagement
- 8
Topics
Dataset details
- Repository
- zenodo
- Published
- April 11, 2019
- License
- cc-by-4.0
- DOI
- 10.5281/zenodo.2637809
Scored with release 0.9.0
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