Results
1st RAMI Cascade Campaign
for Marine Robots
The First RAMI Cascade Evaluation Campaign for marine robots has ended, it challenged the navigation and perception capabilities of participant teams by presenting them training datasets collected on scenarios similar those of physical campaigns.
Based on these data, teams were required to develop their software and tune their algorithms, which were then evaluated on a test dataset composed as follows:
- 3 Images showing Black numbers on yellow pipes
- 3 Images showing Black numbers over a red background
- 6 Images showing only tubes and water with no OPIs
- 5 Images showing colored buoys (2 Red, 2 White, 1 Yellow)
- 3 Images showing a Red marker over a yellow pipe
Every team submitted a Docker Image as a Docker Hub repository, which was evaluated following the rules described here
Ranking
Below are the TOTAL final ranking for each Team:
Rank | Team | Points |
1 | Ensta Team Robex | 113/125 |
2 | TEAMERGO | 107/125 |
3 | OUBOT | 45/125 |
Detailed scoring per function:
Classification
Rank | Team | Points |
1 | Ensta Team Robex | 47/48 |
2 | TEAMERGO | 47/48 |
3 | OUBOT | 20/48 |
Identification
Rank | Team | Points |
1 | Ensta Team Robex | 30/35 |
2 | TEAMERGO | 18/35 |
3 | OUBOT | 3/35 |
Centroid computation
Ranking | Team | Points |
1 | TEAMERGO | 42/42 |
2 | Ensta Team Robex | 36/42 |
3 | OUBOT | 22/42 |
We thank all participating team for taking part in the competition and looking forward to seeing you at our next events!
More information:
Check:
- RAMI’s Evaluation Plan
- 1st RAMI Cascade Campaign Description
- Docker installation guide and user manual
Contact us at im(a)metricsproject.eu
Organising committee
Chair
Dr Gabriele Ferri (CMRE, Italy)
Co-chairs
Alessandro Faggiani (CMRE, Italy)
Dr Tommaso Fabbri (CMRE, Italy)