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ICASSP
2011
IEEE
12 years 11 months ago
Estimation and dynamic updating of time-varying signals with sparse variations
This paper presents an algorithm for an 1-regularized Kalman filter. Given observations of a discrete-time linear dynamical system with sparse errors in the state evolution, we e...
Muhammad Salman Asif, Adam Charles, Justin K. Romb...
ICRA
2005
IEEE
139views Robotics» more  ICRA 2005»
14 years 1 months ago
Attitude Estimation for Dynamic Legged Locomotion Using Range and Inertial Sensors
— Legged robots offer exceptional mobility in uncharted terrains. Their dynamic nature yields unrivaled mobility, but serves to destabilize the motion estimation process that und...
Surya P. N. Singh, Kenneth J. Waldron
CORR
2006
Springer
113views Education» more  CORR 2006»
13 years 8 months ago
Decentralized Maximum Likelihood Estimation for Sensor Networks Composed of Nonlinearly Coupled Dynamical Systems
Abstract--In this paper, we propose a decentralized sensor network scheme capable to reach a globally optimum maximum-likelihood (ML) estimate through self-synchronization of nonli...
Sergio Barbarossa, Gesualdo Scutari
CISS
2011
IEEE
12 years 11 months ago
Sparsity penalties in dynamical system estimation
—In this work we address the problem of state estimation in dynamical systems using recent developments in compressive sensing and sparse approximation. We formulate the traditio...
Adam Charles, Muhammad Salman Asif, Justin K. Romb...
ICRA
2010
IEEE
122views Robotics» more  ICRA 2010»
13 years 6 months ago
Motion estimation from range images in dynamic outdoor scenes
—Object-class independent motion estimation from range data is a challenging task. We present here a novel approach that is able to derive a dense motion field based on range im...
Frank Moosmann, Thierry Fraichard