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ICASSP
2008
IEEE
14 years 3 months ago
Distributed compressed sensing: Sparsity models and reconstruction algorithms using annihilating filter
Consider a scenario where a distributed signal is sparse and is acquired by various sensors that see different versions. Thus, we have a set of sparse signals with both some commo...
Ali Hormati, Martin Vetterli
TROB
2002
145views more  TROB 2002»
13 years 8 months ago
Distributed multirobot localization
In this paper, we present a new approach to the problem of simultaneously localizing a group of mobile robots capable of sensing one another. Each of the robots collects sensor dat...
Stergios I. Roumeliotis, George A. Bekey
ICRA
2003
IEEE
141views Robotics» more  ICRA 2003»
14 years 1 months ago
Outdoor exploration and SLAM using a compressed filter
Abstract— In this paper we describe the use of automatic exploration for autonomous mapping of outdoor scenes. We describe a real-time SLAM implementation along with an autonomou...
John Folkesson, Henrik I. Christensen
ICIP
2009
IEEE
14 years 9 months ago
Compressed Sensing Of Natural Images
Compressed sensing (CS) is a new technique for simultaneous data sampling and compression. In this paper, we propose and study block compressed sensing for natural images, where i...
IROS
2009
IEEE
211views Robotics» more  IROS 2009»
14 years 3 months ago
A 3D pose estimator for the visually impaired
— This paper presents an indoor localization system for the visually impaired. The basis of our system is an Extended Kalman Filter (EKF) for six degree-of-freedom (d.o.f.) posit...
Joel A. Hesch, Faraz M. Mirzaei, Gian Luca Mariott...