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ICRA
2000
IEEE
145views Robotics» more  ICRA 2000»
15 years 1 months ago
Feature Based Condensation for Mobile Robot Localization
Much attention has been given to CONDENSATION methods for mobile robot localization. This has resulted in somewhat of a breakthrough in representing uncertainty for mobile robots....
Patric Jensfelt, David J. Austin, Olle Wijk, Magnu...
50
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ICRA
2010
IEEE
138views Robotics» more  ICRA 2010»
14 years 8 months ago
Mapping indoor environments based on human activity
— We present a novel approach to build approximate maps of structured environments utilizing human motion and activity. Our approach uses data recorded with a data suit which is ...
Slawomir Grzonka, Frederic Dijoux, Andreas Karwath...
IDA
2003
Springer
15 years 3 months ago
A Semi-supervised Method for Learning the Structure of Robot Environment Interactions
For a mobile robot to act autonomously, it must be able to construct a model of its interaction with the environment. Oates et al. developed an unsupervised learning method that pr...
Axel Großmann, Matthias Wendt, Jeremy Wyatt
BMVC
1998
14 years 11 months ago
Vision Based Person Tracking with a Mobile Robot
We address the problem of detecting and tracking people with a mobile robot. The need for following a person with a mobile robot arises in many different service robotic applicati...
Christian Schlegel, Jörg Illmann, Heiko Jaber...
KI
1997
Springer
15 years 2 months ago
Fast Grid-Based Position TRacking for Mobile Robots
One of the fundamental problems in the eld of mobile robotics is the estimation of the robot's position in the environment. Position probability grids have been proven to be a...
Wolfram Burgard, Dieter Fox, Daniel Hennig