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ICRA
2008
IEEE
112views Robotics» more  ICRA 2008»
13 years 11 months ago
Negative information and line observations for Monte Carlo localization
— Localization is a very important problem in robotics and is critical to many tasks performed on a mobile robot. In order to localize well in environments with few landmarks, a ...
Todd Hester, Peter Stone
ICRA
2008
IEEE
114views Robotics» more  ICRA 2008»
13 years 11 months ago
Lazy localization using the Frozen-Time Smoother
— We present a new algorithm for solving the global localization problem called Frozen-Time Smoother (FTS). Time is ‘frozen’, in the sense that the belief always refers to th...
Andrea Censi, Gian Diego Tipaldi
ICCS
2004
Springer
13 years 10 months ago
Parallel Importance Separation for Multiple Integrals and Integral Equations
In this paper we present error and performance analysis of a Monte Carlo variance reduction method for solving multidimensional integrals and integral equations. This method, calle...
Sofiya Ivanovska, Aneta Karaivanova
CCE
2004
13 years 5 months ago
Improving convergence of the stochastic decomposition algorithm by using an efficient sampling technique
This work focuses on the basic stochastic decomposition (SD) algorithm of Higle and Sen [J.L. Higle, S. Sen, Stochastic Decomposition, Kluwer Academic Publishers, 1996] for two-st...
José María Ponce-Ortega, Vicente Ric...
ECCV
2000
Springer
14 years 7 months ago
Quasi-Random Sampling for Condensation
The problem of tracking pedestrians from a moving car is a challenging one. The Condensation tracking algorithm is appealing for its generality and potential for real-time implemen...
Vasanth Philomin, Ramani Duraiswami, Larry S. Davi...