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» Learning Relational Kalman Filtering
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ICRA
2005
IEEE
109views Robotics» more  ICRA 2005»
14 years 4 months ago
Towards an Estimate of Confidence in a Road-Matched Location
- This paper describes a method that provides an estimated location of an outdoor vehicle relative to a digital road map using Belief Theory and Kalman filtering. Firstly, an Exten...
Maan E. El Najjar, Philippe Bonnifait
IJCNN
2006
IEEE
14 years 4 months ago
Rao-Blackwellized Particle Filtering for Sequential Speech Enhancement
— In this paper we present a method of sequential speech enhancement, where we infer clean speech signal using a Rao-Blackwellized particle filter (RBPF), given a noisecontamina...
Sunho Park, Seungjin Choi
TROB
2002
145views more  TROB 2002»
13 years 10 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
2005
IEEE
132views Robotics» more  ICRA 2005»
14 years 4 months ago
Handling the Inconsistency of Relative Map Filter
— In [5], a version of Relative Map Filter (RMF) is proposed to solve the simultaneous localization and map building (SLAM) problem. In the RMF, the map states contain only quant...
Viet Nguyen, Agostino Martinelli, Roland Siegwart
ICVGIP
2008
13 years 11 months ago
Fragment Based Tracking for Scale and Orientation Adaptation
In this work, we propose a simple yet highly effective algorithm for tracking a target through significant scale and orientation change. We divide the target into a number of frag...
Viswanathan Srikrishnan, Tadinada Nagaraj, Subhasi...