Abstract We present Neural Fields for LiDAR (NFL), a method to optimise a neural field
scene representation from LiDAR measurements, with the goal of synthesizing realistic …

Underwater perception and 3D surface reconstruction are challenging problems with broad
applications in construction, security, marine archaeology, and environmental monitoring …

Synthetic aperture sonar (SAS) measures a scene from multiple views in order to increase
the resolution of reconstructed imagery. Image reconstruction methods for SAS coherently …

Neural fields have been broadly investigated as scene representations for the reproduction
and novel generation of diverse outdoor scenes, including those autonomous vehicles and …

Simulation is an invaluable tool for radio-frequency system designers that enables rapid
prototyping of various algorithms for imaging target detection classification and tracking …

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 …

Circular synthetic aperture radar (CSAR) has the potential to form 3D images with single-
pass single-channel radar data, which is very time-efficient. This article proposes a …

2D forward-looking sonar is a crucial sensor for underwater robotic perception. A well-
known problem in this field is estimating missing information in the elevation direction during …

Forward-looking sonar (FLS) has been gaining attractions in the realm of near-bottom, close-
range underwater inspections, owing to its high-resolution and rapid framerate capabilities …

3-D situational awareness is critical for any autonomous system. However, when operating
underwater, environmental conditions often dictate the use of acoustic sensors. These …