zenodoopen
Data Results from Performance Modelling of SLAM methods
<p>Data from runs/bencmarks of SLAM methods GMapping, SLAM Toolbox and Hector SLAM.</p> <p>Results include data for multiple performance metrics, parameters of the robot sensors, and environment features. The data contains results from many runs executed with various combinations of parameters in order to create a statistical model of the SLAM performance in function of characteristics of the robot and environment.</p>
ShareScore
40/100
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
- 8
- Engagement
- 4