most citedeCARLA-scenes: A synthetically generated dataset for event-based optical flow prediction

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

physics.ao-ph2025

PhysDNet: Physics-Guided Decomposition Network of Side-Scan Sonar Imagery

Can Lei, Hayat Rajani, Nuno Gracias +2

Side-scan sonar (SSS) imagery is widely used for seafloor mapping and underwater remote sensing, yet the measured intensity is strongly influenced by seabed reflectivity, terrain e…

physics.geo-ph2025

Coarse-to-Fine Non-Rigid Registration for Side-Scan Sonar Mosaicking

Can Lei, Nuno Gracias, Rafael Garcia +2

Side-scan sonar mosaicking plays a crucial role in large-scale seabed mapping but is challenged by complex non-linear, spatially varying distortions due to diverse sonar acquisitio…

physics.ins-det2025

A Geometrically Consistent Matching Framework for Side-Scan Sonar Mapping

Can Lei, Hayat Rajani, Nuno Gracias +2

Robust matching of side-scan sonar imagery remains a fundamental challenge in seafloor mapping due to view-dependent backscatter, shadows, and geometric distortion. This paper prop…

cs.CV2025

Real-time Seafloor Segmentation and Mapping

Michele Grimaldi, Nouf Alkaabi, Francesco Ruscio +3

Posidonia oceanica meadows are a species of seagrass highly dependent on rocks for their survival and conservation. In recent years, there has been a concerning global decline in t…

cs.CV20241 cited

eCARLA-scenes: A synthetically generated dataset for event-based optical flow prediction

Jad Mansour, Hayat Rajani, Rafael Garcia +1

The joint use of event-based vision and Spiking Neural Networks (SNNs) is expected to have a large impact in robotics in the near future, in tasks such as, visual odometry and obst…