Navigating the Landscape for Real-time Localisation and Mapping for Robotics and Virtual and Augmented Reality

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.

Autonomous Vehicles

Introducing SLAMBench, a performance and accuracy benchmarking methodology for SLAM

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.

Benchmarking

Quantifying the Impact of Parameter Tuning on Nature-Inspired Algorithms

no code implementations • 3 May 2013 • Matthew Crossley, Andy Nisbet, Martyn Amos

The problem of parameterization is often central to the effective deployment of nature-inspired algorithms.