activity
20222026
most citedSurf-NeRF: Surface Regularised Neural Radiance Fields

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

A 3D Reconstruction Benchmark for Asset Inspection

James L. Gray, Nikolai Goncharov, Alexandre Cardaillac +3

Asset management requires accurate 3D models to inform the maintenance, repair, and assessment of buildings, maritime vessels, and other key structures as they age. These downstrea…

cs.RO2025

dLITE: Differentiable Lighting-Informed Trajectory Evaluation for On-Orbit Inspection

Jack Naylor, Raghav Mishra, Nicholas H. Barbara +1

Visual inspection of space-borne assets is of increasing interest to spacecraft operators looking to plan maintenance, characterise damage, and extend the life of high-value satell…

cs.CV2024★ 1 cited

Surf-NeRF: Surface Regularised Neural Radiance Fields

Jack Naylor, Viorela Ila, Donald G. Dansereau

Neural Radiance Fields (NeRFs) provide a high fidelity, continuous scene representation that can realistically represent complex behaviour of light. Despite works like Ref-NeRF imp…

cs.RO2024

Mixing Data-driven and Geometric Models for Satellite Docking Port State Estimation using an RGB or Event Camera

Cedric Le Gentil, Jack Naylor, Nuwan Munasinghe +5

In-orbit automated servicing is a promising path towards lowering the cost of satellite operations and reducing the amount of orbital debris. For this purpose, we present a pipelin…

cs.RO2022

NOCaL: Calibration-Free Semi-Supervised Learning of Odometry and Camera Intrinsics

Ryan Griffiths, Jack Naylor, Donald G. Dansereau

There are a multitude of emerging imaging technologies that could benefit robotics. However the need for bespoke models, calibration and low-level processing represents a key barri…