197 citations · 275 across the 14 of their papers we have counts for
14 papers
Score-Based Multibeam Point Cloud Denoising
Li Ling, Yiping Xie, Nils Bore +1
Multibeam echo-sounder (MBES) is the de-facto sensor for bathymetry mapping. In recent years, cheaper MBES sensors and global mapping initiatives have led to exponential growth of…
Benchmarking Classical and Learning-Based Multibeam Point Cloud Registration
Li Ling, Jun Zhang, Nils Bore +2
Deep learning has shown promising results for multiple 3D point cloud registration datasets. However, in the underwater domain, most registration of multibeam echo-sounder (MBES) p…
NeuRSS: Enhancing AUV Localization and Bathymetric Mapping with Neural Rendering for Sidescan SLAM
Yiping Xie, Jun Zhang, Nils Bore +1
Implicit neural representations and neural rendering have gained increasing attention for bathymetry estimation from sidescan sonar (SSS). These methods incorporate multiple observ…
Bathymetric Surveying with Imaging Sonar Using Neural Volume Rendering
Yiping Xie, Giancarlo Troni, Nils Bore +1
This research addresses the challenge of estimating bathymetry from imaging sonars where the state-of-the-art works have primarily relied on either supervised learning with ground-…
Neural Shape-from-Shading for Survey-Scale Self-Consistent Bathymetry from Sidescan
Nils Bore, John Folkesson
Sidescan sonar is a small and cost-effective sensing solution that can be easily mounted on most vessels. Historically, it has been used to produce high-definition images that expe…
Towards Differentiable Rendering for Sidescan Sonar Imagery
Yiping Xie, Nils Bore, John Folkesson
Recent advances in differentiable rendering, which allow calculating the gradients of 2D pixel values with respect to 3D object models, can be applied to estimation of the model pa…