197 citations · 326 across the 25 of their papers we have counts for
27 papers
Efficient Non-Myopic Layered Bayesian Optimization For Large-Scale Bathymetric Informative Path Planning
Alexander Kiessling, Ignacio Torroba, Chelsea Rose Sidrane +3
Informative path planning (IPP) applied to bathymetric mapping allows AUVs to focus on feature-rich areas to quickly reduce uncertainty and increase mapping efficiency. Existing me…
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-…
A Dense Subframe-based SLAM Framework with Side-scan Sonar
Jun Zhang, Yiping Xie, Li Ling +1
Side-scan sonar (SSS) is a lightweight acoustic sensor that is commonly deployed on autonomous underwater vehicles (AUVs) to provide high-resolution seafloor images. However, lever…