73 citations · 88 across the 7 of their papers we have counts for
3 papers · 1 filter
Uncertainty Driven Active Learning for Image Segmentation in Underwater Inspection
Luiza Ribeiro Marnet, Yury Brodskiy, Stella Grasshof +1
Active learning aims to select the minimum amount of data to train a model that performs similarly to a model trained with the entire dataset. We study the potential of active lear…
Mission Planning and Safety Assessment for Pipeline Inspection Using Autonomous Underwater Vehicles: A Framework based on Behavior Trees
Martin Aubard, Sergio Quijano, Olaya Álvarez-Tuñón +3
The recent advance in autonomous underwater robotics facilitates autonomous inspection tasks of offshore infrastructure. However, current inspection missions rely on predefined pla…
SubPipe: A Submarine Pipeline Inspection Dataset for Segmentation and Visual-inertial Localization
Olaya Álvarez-Tuñón, Luiza Ribeiro Marnet, László Antal +3
This paper presents SubPipe, an underwater dataset for SLAM, object detection, and image segmentation. SubPipe has been recorded using a \gls{LAUV}, operated by OceanScan MST, and…