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» Distributing the Kalman Filter for Large-Scale Systems
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ICRA
2007
IEEE
178views Robotics» more  ICRA 2007»
14 years 1 days ago
Distributed Cooperative Active Sensing Using Consensus Filters
— We consider the problem of multiple mobile sensor agents tracking the position of one or more moving targets. In our formulation, each agent maintains a target estimate, and ea...
Peng Yang, Randy A. Freeman, Kevin M. Lynch
ICRA
2007
IEEE
190views Robotics» more  ICRA 2007»
14 years 1 days ago
A UPF-UKF Framework For SLAM
— In this paper we propose a SLAM framework which is based on an algorithm that combines an Unscented Particle Filter (UPF) and Unscented Kalman Filters (UKFs). A UPF is used to ...
Xiang Wang, Hong Zhang
AUSAI
2004
Springer
13 years 11 months ago
Enhanced Importance Sampling: Unscented Auxiliary Particle Filtering for Visual Tracking
Abstract. The particle filter has attracted considerable attention in visual tracking due to its relaxation of the linear and Gaussian restrictions in the state space model. It is...
Chunhua Shen, Anton van den Hengel, Anthony R. Dic...
ICRA
1998
IEEE
128views Robotics» more  ICRA 1998»
13 years 10 months ago
Hybrid, High-Precision Localisation for the Mail Distributing Mobile Robot System MOPS
This paper describes the new localisation algorithms under implementation for the mail distributing mobile robot, MOPS, of the Institute of Robotics, Swiss Federal Institute of Te...
Kai Oliver Arras, Sjur J. Vestli
ICAT
2003
IEEE
13 years 11 months ago
Head Motion Prediction in Augmented Reality Systems Using Monte Carlo Particle Filters
A basic problem with Augmented Reality systems using Head-Mounted Displays (HMDs) is the perceived latency or lag. This delay corresponds to the elapsed time between the moment wh...
Fakhreddine Ababsa, Jean-Yves Didier, Malik Mallem...