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Found 5 papers, 0 papers with code
Neural Network Normal Estimation and Bathymetry Reconstruction from Sidescan Sonar
In this article, we use a neural network to represent the map and optimize it under constraints of altimeter points and estimated surface normal from sidescan.
High-Resolution Bathymetric Reconstruction From Sidescan Sonar With Deep Neural Networks
This is then combined with the indirect but high-resolution seabed slope information from the sidescan to estimate the full bathymetry.
PointNetKL: Deep Inference for GICP Covariance Estimation in Bathymetric SLAM
However, an accurate estimate of the uncertainty of such registration is a key requirement to a consistent fusion of this kind of measurements in a SLAM filter.
Detection and Tracking of General Movable Objects in Large 3D Maps
This paper studies the problem of detection and tracking of general objects with long-term dynamics, observed by a mobile robot moving in a large environment.
Unsupervised Object Discovery and Segmentation of RGBD-images
In this paper we introduce a system for unsupervised object discovery and segmentation of RGBD-images.
