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20212026
most citedA Fully-automatic Side-scan Sonar SLAM Framework

19 citations · 55 across the 13 of their papers we have counts for

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8 papers · 1 filter

cs.RO2026

BF-Map: Crowd-sourced Mapping with Bayesian B-spline Fusion

Yiping Xie, Yuxuan Xia, Erik Stenborg +5

Crowd-sourced mapping offers a scalable alternative to creating maps using traditional survey vehicles. Yet, existing methods either rely on prior high-definition (HD) maps or negl…

cs.RO2024

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…

cs.RO2024★ 8 cited

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-…

cs.RO2023

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…

cs.RO2023★ 19 cited

A Fully-automatic Side-scan Sonar SLAM Framework

Jun Zhang, Yiping Xie, Li Ling +1

Side-scan sonar (SSS) is a lightweight acoustic sensor that is frequently deployed on autonomous underwater vehicles (AUVs) to provide high-resolution seafloor images. However, usi…

cs.RO2022

Data-driven Loop Closure Detection in Bathymetric Point Clouds for Underwater SLAM

Jiarui Tan, Ignacio Torroba, Yiping Xie +1

Simultaneous localization and mapping (SLAM) frameworks for autonomous navigation rely on robust data association to identify loop closures for back-end trajectory optimization. In…

cs.RO2022★ 3 cited

High-Resolution Bathymetric Reconstruction From Sidescan Sonar With Deep Neural Networks

Yiping Xie, Nils Bore, John Folkesson

We propose a novel data-driven approach for high-resolution bathymetric reconstruction from sidescan. Sidescan sonar (SSS) intensities as a function of range do contain some inform…

cs.RO2022★ 15 cited

Neural Network Normal Estimation and Bathymetry Reconstruction from Sidescan Sonar

Yiping Xie, Nils Bore, John Folkesson

Sidescan sonar intensity encodes information about the changes of surface normal of the seabed. However, other factors such as seabed geometry as well as its material composition a…