Search Results for author:
Found 4 papers, 2 papers with code
Navigating the Landscape for Real-time Localisation and Mapping for Robotics and Virtual and Augmented Reality
Visual understanding of 3D environments in real-time, at low power, is a huge computational challenge.
Algorithmic Performance-Accuracy Trade-off in 3D Vision Applications Using HyperMapper
In this paper we investigate an emerging application, 3D scene understanding, likely to be significant in the mobile space in the near future.
Comparative Design Space Exploration of Dense and Semi-Dense SLAM
SLAM has matured significantly over the past few years, and is beginning to appear in serious commercial products.
Introducing SLAMBench, a performance and accuracy benchmarking methodology for SLAM
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.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
