1 citations · 1 across the 3 of their papers we have counts for
4 papers
TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks
Daniel Fusaro, Simone Mosco, Wanmeng Li +1
Traversability analysis is a fundamental capability for autonomous mobile robots operating in unstructured environments. While modern machine learning approaches such as deep neura…
DPGLA: Bridging the Gap between Synthetic and Real Data for Unsupervised Domain Adaptation in 3D LiDAR Semantic Segmentation
Wanmeng Li, Simone Mosco, Daniel Fusaro +1
Annotating real-world LiDAR point clouds for use in intelligent autonomous systems is costly. To overcome this limitation, self-training-based Unsupervised Domain Adaptation (UDA)…
Point-Plane Projections for Accurate LiDAR Semantic Segmentation in Small Data Scenarios
Simone Mosco, Daniel Fusaro, Wanmeng Li +2
LiDAR point cloud semantic segmentation is essential for interpreting 3D environments in applications such as autonomous driving and robotics. Recent methods achieve strong perform…
A Sonar-based AUV Positioning System for Underwater Environments with Low Infrastructure Density
Emilio Olivastri, Daniel Fusaro, Wanmeng Li +2
The increasing demand for underwater vehicles highlights the necessity for robust localization solutions in inspection missions. In this work, we present a novel real-time sonar-ba…