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Found 8 papers, 2 papers with code
Spatial Acoustic Projection for 3D Imaging Sonar Reconstruction
We integrate the intensities measured by the sonar from different viewpoints for fixed cell positions in a 3D grid.
Self-supervised Learning for Sonar Image Classification
Self-supervised learning has proved to be a powerful approach to learn image representations without the need of large labeled datasets.
Deep Reinforcement Learning for Continuous Docking Control of Autonomous Underwater Vehicles: A Benchmarking Study
Docking control of an autonomous underwater vehicle (AUV) is a task that is integral to achieving persistent long term autonomy.
Pre-trained Models for Sonar Images
Machine learning and neural networks are now ubiquitous in sonar perception, but it lags behind the computer vision field due to the lack of data and pre-trained models specifically for sonar images.
A First Step Towards Distribution Invariant Regression Metrics
We show on synthetic and robotic data in reproducible experiments that classical metrics behave wrongly, whereas our new metrics are less sensitive to changing distributions, especially when correcting by the marginal distribution in $X$.
Results from the Robocademy ITN: Autonomy, Disturbance Rejection and Perception for Advanced Marine Robotics
Marine and Underwater resources are important part of the economy of many countries.
A Framework for On-line Learning of Underwater Vehicles Dynamic Models
In this work, a framework for on-line learning of robot dynamics is developed to adapt to such changes.
Learning of Multi-Context Models for Autonomous Underwater Vehicles
Multi-context model learning is crucial for marine robotics where several factors can cause disturbances to the system's dynamics.
