3 accepted papers
This work proposes a method for learning features from a batch of 2D sonar images to predict a multi-view point-cloud for achieving a dense 3D-reconstruction. In comparison to vision-based sensors, acoustics are considered a reliable sensing modality in underwater environments. The output of sonars …
In this paper, we present an attitude control scheme for an autonomous underwater vehicle (AUV), which is based on incremental nonlinear dynamic inversion (INDI). Conventional model-based controllers depend on an exact model of the controlled system, which is difficult to find, especially for marine…
The work presented in this paper describes the use and evaluation of machine learning techniques like neural networks and support vector regression to learn a model of magnetic field distortions often induced in inertial measurement units using magnetometers by changing currents, postures or configu…