1 citations · 1 across the 6 of their papers we have counts for
6 papers · 1 filter
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…
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…
BuFF: Burst Feature Finder for Light-Constrained 3D Reconstruction
Ahalya Ravendran, Mitch Bryson, Donald G. Dansereau
Robots operating at night using conventional vision cameras face significant challenges in reconstruction due to noise-limited images. Previous work has demonstrated that burst-ima…
Burst Imaging for Light-Constrained Structure-From-Motion
Ahalya Ravendran, Mitch Bryson, Donald G. Dansereau
Images captured under extremely low light conditions are noise-limited, which can cause existing robotic vision algorithms to fail. In this paper we develop an image processing tec…
Refractive Light-Field Features for Curved Transparent Objects in Structure from Motion
Dorian Tsai, Peter Corke, Thierry Peynot +1
Curved refractive objects are common in the human environment, and have a complex visual appearance that can cause robotic vision algorithms to fail. Light-field cameras allow us t…
Unsupervised Learning of Depth Estimation and Visual Odometry for Sparse Light Field Cameras
S. Tejaswi Digumarti, Joseph Daniel, Ahalya Ravendran +1
While an exciting diversity of new imaging devices is emerging that could dramatically improve robotic perception, the challenges of calibrating and interpreting these cameras have…