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» Active Markov localization for mobile robots
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ICRA
2009
IEEE
188views Robotics» more  ICRA 2009»
13 years 5 months ago
Onboard contextual classification of 3-D point clouds with learned high-order Markov Random Fields
Contextual reasoning through graphical models such as Markov Random Fields often show superior performance against local classifiers in many domains. Unfortunately, this performanc...
Daniel Munoz, Nicolas Vandapel, Martial Hebert
AAAI
1998
13 years 9 months ago
Position Estimation for Mobile Robots in Dynamic Environments
For mobile robots to be successful, they have to navigate safely in populated and dynamic environments. While recent research has led to a variety of localization methods that can...
Dieter Fox, Wolfram Burgard, Sebastian Thrun, Armi...
IBERAMIA
2004
Springer
14 years 28 days ago
Statistical Inference in Mapping and Localization for Mobile Robots
In this paper we tackle the problem of providing a mobile robot with the ability to build a map of its environment using data gathered during navigation. The data correspond to the...
Anita Araneda, Alvaro Soto
AR
2005
138views more  AR 2005»
13 years 7 months ago
On actively closing loops in grid-based FastSLAM
Acquiring models of the environment belongs to the fundamental tasks of mobile robots. In the past, several researchers have focused on the problem of simultaneous localization an...
Cyrill Stachniss, Dirk Hähnel, Wolfram Burgar...
AINA
2006
IEEE
14 years 1 months ago
Sequential Localization Algorithm for Active Sensor Network Deployment
There has been a lot of work on localization for sensor networks. Most localization schemes assume an already deployed network. Very little research has been done for active senso...
Ying Zhang, Qingfeng Huang, Juan Liu