As the pretraining technique is growing in popularity, little work has b...
Due to the challenges regarding the limits of their endurance and autono...
Autonomous underwater vehicles (AUVs) are becoming standard tools for
un...
Simultaneous localization and mapping (SLAM) frameworks for autonomous
n...
Sidescan sonar is a small and cost-effective sensing solution that can b...
Recent advances in differentiable rendering, which allow calculating the...
Sidescan sonar intensity encodes information about the changes of surfac...
We propose a novel data-driven approach for high-resolution bathymetric
...
Gaussian processes (GPs) are becoming a standard tool to build terrain
r...
Deep Neural Networks (NNs) have been widely utilized in contact-rich
man...
Both higher efficiency and cost reduction can be gained from automating
...
Registration methods for point clouds have become a key component of man...
A number of techniques for interpretability have been presented for deep...
In this paper, we proposed a new deep learning based dense monocular SLA...
In this paper, we present a deep learning-based network, GCNv2, for
gene...
Mobile robot navigation in complex and dynamic environments is a challen...
In this work, we present a method for tracking and learning the dynamics...
This paper studies the problem of detection and tracking of general obje...
In this paper we introduce a system for unsupervised object discovery an...