113 citations · 203 across the 7 of their papers we have counts for
4 papers · 1 filter
A Distributed Gaussian Process Model for Multi-Robot Mapping
Seth Nabarro, Mark van der Wilk, Andrew J. Davison
We propose DistGP: a multi-robot learning method for collaborative learning of a global function using only local experience and computation. We utilise a sparse Gaussian process (…
Distributed Simultaneous Localisation and Auto-Calibration using Gaussian Belief Propagation
Riku Murai, Ignacio Alzugaray, Paul H. J. Kelly +1
We present a novel scalable, fully distributed, and online method for simultaneous localisation and extrinsic calibration for multi-robot setups. Individual a priori unknown robot…
Comparative Design Space Exploration of Dense and Semi-Dense SLAM
M. Zeeshan Zia, Luigi Nardi, Andrew Jack +4
SLAM has matured significantly over the past few years, and is beginning to appear in serious commercial products. While new SLAM systems are being proposed at every conference, ev…
Introducing SLAMBench, a performance and accuracy benchmarking methodology for SLAM
Luigi Nardi, Bruno Bodin, M. Zeeshan Zia +9
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 hi…