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ICRA
2008
IEEE
112views Robotics» more  ICRA 2008»
8 years 10 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
IROS
2006
IEEE
110views Robotics» more  IROS 2006»
8 years 10 months ago
Robust Self-Localization in Industrial Environments based on 3D Ceiling Structures
- This paper introduces a new perceptual model for Monte Carlo Localization (MCL). In our approach a 3D laser scanner is used to observe the ceiling. The MCL matches ceiling struct...
Oliver Wulf, Daniel Lecking, Bernardo Wagner
IROS
2008
IEEE
158views Robotics» more  IROS 2008»
8 years 10 months ago
A GPS and laser-based localization for urban and non-urban outdoor environments
— This paper introduces a localization based on GPS and laser measurements for urban and non-urban outdoor environments. In this approach, the GPS pose is Kalman filtered using w...
Matthias Hentschel, Oliver Wulf, Bernardo Wagner
CEC
2007
IEEE
8 years 8 months ago
Mobile robot global localization using differential evolution and particle swarm optimization
For a mobile robot to move in a known environment and operate successfully, first it needs to robustly determine its initial position and orientation relative to the map, and then ...
Ali R. Vahdat, Naser NourAshrafoddin, Saeed Shiry ...
JCPHY
2016
50views more  JCPHY 2016»
3 years 14 days ago
Dimension-independent likelihood-informed MCMC
Many Bayesian inference problems require exploring the posterior distribution of high-dimensional parameters that, in principle, can be described as functions. This work introduces...
Tiangang Cui, Kody J. H. Law, Youssef M. Marzouk
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