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ICRA
2008
IEEE
142views Robotics» more  ICRA 2008»
15 years 8 months ago
Gaussian mixture models for probabilistic localization
— One of the key tasks during the realization of probabilistic approaches to localization is the design of a proper sensor model, that calculates the likelihood of a measurement ...
Patrick Pfaff, Christian Plagemann, Wolfram Burgar...
123
Voted
IWSOS
2007
Springer
15 years 8 months ago
Dynamic Ontology Mapping for Interacting Autonomous Systems
Abstract. With the emergence of mobile and ubiquitous computing environments, there is a requirement to enable collaborative applications between these environments. As many of the...
Steven Heeps, Joe Sventek, Naranker Dulay, Alberto...
107
Voted
ROBOCUP
2007
Springer
180views Robotics» more  ROBOCUP 2007»
15 years 8 months ago
Improving Robot Self-localization Using Landmarks' Poses Tracking and Odometry Error Estimation
In this article the classical self-localization approach is improved by estimating, independently from the robot’s pose, the robot’s odometric error and the landmarks’ poses....
Pablo Guerrero, Javier Ruiz-del-Solar
129
Voted
IROS
2006
IEEE
155views Robotics» more  IROS 2006»
15 years 8 months ago
Multiple Hypothesis Tracking of Clusters of People
— Mobile robots operating in populated environments typically can improve their service and navigation behavior when they know where people are in their vicinity and in which dir...
Manuel Mucientes, Wolfram Burgard
ICRA
2005
IEEE
210views Robotics» more  ICRA 2005»
15 years 7 months ago
Improving Grid-based SLAM with Rao-Blackwellized Particle Filters by Adaptive Proposals and Selective Resampling
— Recently Rao-Blackwellized particle filters have been introduced as effective means to solve the simultaneous localization and mapping (SLAM) problem. This approach uses a par...
Giorgio Grisetti, Cyrill Stachniss, Wolfram Burgar...