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IJCAI
2003
15 years 2 months ago
People Tracking with Anonymous and ID-Sensors Using Rao-Blackwellised Particle Filters
Estimating the location of people using a network of sensors placed throughout an environment is a fundamental challenge in smart environments and ubiquitous computing. Id-sensors...
Dirk Schulz, Dieter Fox, Jeffrey Hightower
PRL
2008
161views more  PRL 2008»
15 years 5 days ago
Automatic kernel clustering with a Multi-Elitist Particle Swarm Optimization Algorithm
This article introduces a scheme for clustering complex and linearly non-separable datasets, without any prior knowledge of the number of naturally occurring groups in the data. T...
Swagatam Das, Ajith Abraham, Amit Konar
100
Voted
IROS
2007
IEEE
193views Robotics» more  IROS 2007»
15 years 7 months ago
Analyzing gaussian proposal distributions for mapping with rao-blackwellized particle filters
Abstract— Particle filters are a frequently used filtering technique in the robotics community. They have been successfully applied to problems such as localization, mapping, o...
Cyrill Stachniss, Giorgio Grisetti, Wolfram Burgar...
GECCO
2007
Springer
209views Optimization» more  GECCO 2007»
15 years 6 months ago
Kernel based automatic clustering using modified particle swarm optimization algorithm
This paper introduces a method for clustering complex and linearly non-separable datasets, without any prior knowledge of the number of naturally occurring clusters. The proposed ...
Ajith Abraham, Swagatam Das, Amit Konar
131
Voted
IROS
2006
IEEE
168views Robotics» more  IROS 2006»
15 years 6 months ago
An Entropy-Based Measurement of Certainty in Rao-Blackwellized Particle Filter Mapping
– In Bayesian based approaches to mobile robot simultaneous localization and mapping, Rao-Blackwellized particle filters (RBPF) enable the efficient estimation of the posterior b...
Jose-Luis Blanco, Juan-Antonio Fernandez-Madrigal,...