We present an indoor positioning system that measures location using disturbances of the Earth's magnetic field caused by structural steel elements in a building. The presenc...
Jaewoo Chung, Matt Donahoe, Chris Schmandt, Ig-Jae...
Successful approaches to the robot localization problem include Monte Carlo particle ļ¬lters, which estimate non-parametric localization belief distributions. However, particle ļ...
āCounting Bloom Filters (CBFs) are widely used in networking device algorithms. They implement fast set representations to support membership queries with limited error, and supp...
We give a deterministic O(log n)n -time and space algorithm for the Shortest Vector Problem (SVP) of a lattice under any norm, improving on the previous best deterministic nO(n) -...
We present an experiment comparing double exponential smoothing and Kalman ļ¬lter-based predictive tracking algorithms with derivative free measurement models. Our results show t...