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FPL
2007
Springer
105views Hardware» more  FPL 2007»
13 years 11 months ago
A floating-point Extended Kalman Filter implementation for autonomous mobile robots
Localization and Mapping are two of the most important capabilities for autonomous mobile robots and have been receiving considerable attention from the scientific computing commu...
Vanderlei Bonato, Eduardo Marques, George A. Const...
AROBOTS
2010
194views more  AROBOTS 2010»
13 years 3 months ago
Computationally efficient solutions for tracking people with a mobile robot: an experimental evaluation of Bayesian filters
Abstract Modern service robots will soon become an essential part of modern society. As they have to move and act in human environments, it is essential for them to be provided wit...
Nicola Bellotto, Huosheng Hu
ICRA
2005
IEEE
152views Robotics» more  ICRA 2005»
13 years 10 months ago
Dynamic Vehicle Localization using Constraints Propagation Techniques on Intervals A comparison with Kalman Filtering
-In order to implement a continuous and robust dynamic localization of a mobile robot, the fusion of dead reckoning and absolute sensors is often used. Depending on the objectives ...
Amadou Gning, Philippe Bonnifait
ICRA
2003
IEEE
141views Robotics» more  ICRA 2003»
13 years 10 months ago
Outdoor exploration and SLAM using a compressed filter
Abstract— In this paper we describe the use of automatic exploration for autonomous mapping of outdoor scenes. We describe a real-time SLAM implementation along with an autonomou...
John Folkesson, Henrik I. Christensen
ICRA
2005
IEEE
148views Robotics» more  ICRA 2005»
13 years 10 months ago
Bearing-only SLAM Using a SPRT Based Gaussian Sum Filter
— Use of a Gaussian Sum filter (GSF) to efficiently solve the initialisation problem in bearing-only simultaneous localisation and mapping (SLAM) is the main contribution of th...
Ngai Ming Kwok, Gamini Dissanayake, Q. P. Ha