4 papers
REACT: Real-time Entanglement-Aware Coverage Path Planning for Tethered Underwater Vehicles
Abdelhakim Amer, Mohit Mehindratta, Yury Brodskiy +2
Inspection of underwater structures with tethered underwater vehicles is often hindered by the risk of tether entanglement. We propose REACT (real-time entanglement-aware coverage…
NeRF-To-Real Tester: Neural Radiance Fields as Test Image Generators for Vision of Autonomous Systems
Laura Weihl, Bilal Wehbe, Andrzej WÄ sowski
Autonomous inspection of infrastructure on land and in water is a quickly growing market, with applications including surveying constructions, monitoring plants, and tracking envir…
Modeling of AUV Dynamics with Limited Resources: Efficient Online Learning Using Uncertainty
Michal Tešnar, Bilal Wehbe, Matias Valdenegro-Toro
Machine learning proves effective in constructing dynamics models from data, especially for underwater vehicles. Continuous refinement of these models using incoming data streams,…
The Marine Debris Forward-Looking Sonar Datasets
Matias Valdenegro-Toro, Deepan Chakravarthi Padmanabhan, Deepak Singh +2
Sonar sensing is fundamental for underwater robotics, but limited by capabilities of AI systems, which need large training datasets. Public data in sonar modalities is lacking. Thi…