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» Bayesian Landmark Learning for Mobile Robot Localization
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DAGSTUHL
1998
13 years 9 months ago
Markov Localization for Reliable Robot Navigation and People Detection
Localization is one of the fundamental problems in mobile robotics. Without knowledge about their position mobile robots cannot e ciently carry out their tasks. In this paper we pr...
Dieter Fox, Wolfram Burgard, Sebastian Thrun
ICRA
1999
IEEE
110views Robotics» more  ICRA 1999»
13 years 12 months ago
Subpixel Localization and Uncertainty Estimation Using Occupancy Grids
We describe techniques for performing mobile robot localization using occupancy grids that allow subpixel localization and uncertainty estimation in the pixelized pose space. The ...
Clark F. Olson
RSS
2007
159views Robotics» more  RSS 2007»
13 years 9 months ago
Gaussian Beam Processes: A Nonparametric Bayesian Measurement Model for Range Finders
— In probabilistic mobile robotics, the development of measurement models plays a crucial role as it directly influences the efficiency and the robustness of the robot’s perf...
Christian Plagemann, Kristian Kersting, Patrick Pf...
IROS
2009
IEEE
129views Robotics» more  IROS 2009»
14 years 2 months ago
Using symmetrical regions of interest to improve visual SLAM
— Simultaneous Localization and Mapping (SLAM) based on visual information is a challenging problem. One of the main problems with visual SLAM is to find good quality landmarks,...
Gert Kootstra, Lambert Schomaker
SUTC
2006
IEEE
14 years 1 months ago
TARANTULAS: Mobility-enhanced Wireless Sensor-Actuator Networks
Amidst the numerous active research efforts in wireless sensor networks which aim to push beyond the limits, we aim to significantly enhance the effectiveness of wireless sensors ...
Winston Khoon Guan Seah, Kevin Z. Liu, Marcelo H. ...