no code implementations • 11 Dec 2023 • Hidenobu Matsuki, Riku Murai, Paul H. J. Kelly, Andrew J. Davison
We present the first application of 3D Gaussian Splatting to incremental 3D reconstruction using a single moving monocular or RGB-D camera.
no code implementations • 7 Mar 2022 • Hao-Ya Hsueh, Alexandru-Iosif Toma, Hussein Ali Jaafar, Edward Stow, Riku Murai, Paul H. J. Kelly, Sajad Saeedi
An unified path planning interface that facilitates the development and benchmarking of existing and new algorithms is needed.
no code implementations • 7 Feb 2022 • Riku Murai, Joseph Ortiz, Sajad Saeedi, Paul H. J. Kelly, Andrew J. Davison
We show that a distributed network of robots or other devices which make measurements of each other can collaborate to globally localise via efficient ad-hoc peer to peer communication.
no code implementations • 4 May 2021 • Alexandru-Iosif Toma, Hao-Ya Hsueh, Hussein Ali Jaafar, Riku Murai, Paul H. J. Kelly, Sajad Saeedi
Path planning is a key component in mobile robotics.
1 code implementation • 21 Jan 2021 • Edward Stow, Riku Murai, Sajad Saeedi, Paul H. J. Kelly
Focal-plane Sensor-processors (FPSPs) are a camera technology that enable low power, high frame rate computation, making them suitable for edge computation.
no code implementations • 26 Sep 2020 • Navjot Kukreja, Jan Hueckelheim, Mathias Louboutin, John Washbourne, Paul H. J. Kelly, Gerard J. Gorman
This paper proposes a new method that combines check-pointing methods with error-controlled lossy compression for large-scale high-performance Full-Waveform Inversion (FWI), an inverse problem commonly used in geophysical exploration.
Computational Physics Numerical Analysis Numerical Analysis
no code implementations • 2 Jun 2020 • Matthew Z. Wong, Benoit Guillard, Riku Murai, Sajad Saeedi, Paul H. J. Kelly
We present a high-speed, energy-efficient Convolutional Neural Network (CNN) architecture utilising the capabilities of a unique class of devices known as analog Focal Plane Sensor Processors (FPSP), in which the sensor and the processor are embedded together on the same silicon chip.
no code implementations • 23 Apr 2020 • Riku Murai, Sajad Saeedi, Paul H. J. Kelly
Focal-plane Sensor-processor (FPSP) is a next-generation camera technology which enables every pixel on the sensor chip to perform computation in parallel, on the focal plane where the light intensity is captured.
no code implementations • CVPR 2020 • Eduardo D. C. Carvalho, Ronald Clark, Andrea Nicastro, Paul H. J. Kelly
As Deep Learning continues to yield successful applications in Computer Vision, the ability to quantify all forms of uncertainty is a paramount requirement for its safe and reliable deployment in the real-world.
2 code implementations • 20 Aug 2018 • Sajad Saeedi, Bruno Bodin, Harry Wagstaff, Andy Nisbet, Luigi Nardi, John Mawer, Nicolas Melot, Oscar Palomar, Emanuele Vespa, Tom Spink, Cosmin Gorgovan, Andrew Webb, James Clarkson, Erik Tomusk, Thomas Debrunner, Kuba Kaszyk, Pablo Gonzalez-de-Aledo, Andrey Rodchenko, Graham Riley, Christos Kotselidis, Björn Franke, Michael F. P. O'Boyle, Andrew J. Davison, Paul H. J. Kelly, Mikel Luján, Steve Furber
Visual understanding of 3D environments in real-time, at low power, is a huge computational challenge.
3 code implementations • 9 Jul 2018 • Fabio Luporini, Michael Lange, Mathias Louboutin, Navjot Kukreja, Jan Hückelheim, Charles Yount, Philipp Witte, Paul H. J. Kelly, Gerard J. Gorman, Felix J. Herrmann
Some of these are obtained through well-established stencil optimizers, integrated in the back-end of the Devito compiler.
Mathematical Software 65N06, 68N20
no code implementations • 2 Feb 2017 • Luigi Nardi, Bruno Bodin, Sajad Saeedi, Emanuele Vespa, Andrew J. Davison, Paul H. J. Kelly
In this paper we investigate an emerging application, 3D scene understanding, likely to be significant in the mobile space in the near future.
no code implementations • 15 Sep 2015 • M. Zeeshan Zia, Luigi Nardi, Andrew Jack, Emanuele Vespa, Bruno Bodin, Paul H. J. Kelly, Andrew J. Davison
SLAM has matured significantly over the past few years, and is beginning to appear in serious commercial products.
1 code implementation • 8 Jan 2015 • Florian Rathgeber, David A. Ham, Lawrence Mitchell, Michael Lange, Fabio Luporini, Andrew T. T. McRae, Gheorghe-Teodor Bercea, Graham R. Markall, Paul H. J. Kelly
Firedrake is a new tool for automating the numerical solution of partial differential equations.
Mathematical Software Numerical Analysis Numerical Analysis G.1.8; G.4
3 code implementations • 8 Oct 2014 • Luigi Nardi, Bruno Bodin, M. Zeeshan Zia, John Mawer, Andy Nisbet, Paul H. J. Kelly, Andrew J. Davison, Mikel Luján, Michael F. P. O'Boyle, Graham Riley, Nigel Topham, Steve Furber
Real-time dense computer vision and SLAM offer great potential for a new level of scene modelling, tracking and real environmental interaction for many types of robot, but their high computational requirements mean that use on mass market embedded platforms is challenging.
2 code implementations • 12 Aug 2013 • Georgios Rokos, Gerard J. Gorman, James Southern, Paul H. J. Kelly
Inter-node parallelism for mesh adaptivity has been successfully implemented by a number of groups.
Distributed, Parallel, and Cluster Computing
no code implementations • CVPR 2013 • Renato F. Salas-Moreno, Richard A. Newcombe, Hauke Strasdat, Paul H. J. Kelly, Andrew J. Davison
We present the major advantages of a new 'object oriented' 3D SLAM paradigm, which takes full advantage in the loop of prior knowledge that many scenes consist of repeated, domain-specific objects and structures.