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AROBOTS
2008
104views more  AROBOTS 2008»
13 years 5 months ago
Modeling dynamic scenarios for local sensor-based motion planning
This paper addresses the modeling of the static and dynamic parts of the scenario and how to use this information with a sensor-based motion planning system. The contribution in th...
Luis Montesano, Javier Minguez, Luis Montano
CORR
2007
Springer
144views Education» more  CORR 2007»
13 years 5 months ago
Distributing the Kalman Filter for Large-Scale Systems
This paper derives a near optimal distributed Kalman filter to estimate a large-scale random field monitored by a network of N sensors. The field is described by a sparsely con...
Usman A. Khan, José M. F. Moura
ICRA
2008
IEEE
127views Robotics» more  ICRA 2008»
13 years 12 months ago
New framework for Simultaneous Localization and Mapping: Multi map SLAM
—The main contribution of this paper arises from the development of a new framework, which has its inspiration in the mechanics of human navigation, for solving the problem of Si...
Damith Chandana Herath, Sarath Kodagoda, Gamini Di...
IROS
2009
IEEE
199views Robotics» more  IROS 2009»
14 years 3 days ago
Multiswarm Particle Filter for vision based SLAM
Abstract— Particle Filters have been widely used as a powerful optimization tool for nonlinear, non-Gaussian dynamic models such as Simultaneous Localization and Mapping (SLAM) a...
Hee Seok Lee, Kyoung Mu Lee
ICRA
1999
IEEE
114views Robotics» more  ICRA 1999»
13 years 9 months ago
Smoother Based 3-D Attitude Estimation for Mobile Robot Localization
The mobile robot localization problem is decomposed into two stages attitude estimation followed by position estimation. The innovation of our method is the use of a smoother, in ...
Stergios I. Roumeliotis, Gaurav S. Sukhatme, Georg...