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» SLAM with Sparse Sensing
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ICRA
2006
IEEE
119views Robotics» more  ICRA 2006»
13 years 11 months ago
SLAM with Sparse Sensing
— Most work on the simultaneous localization and mapping (SLAM) problem assumes the frequent availability of dense information about the environment such as that provided by a la...
Kristopher R. Beevers, Wesley H. Huang
RSS
2007
128views Robotics» more  RSS 2007»
13 years 6 months ago
Data Association in O(n) for Divide and Conquer SLAM
—In this paper we show that all processes associated to the move-sense-update cycle of EKF SLAM can be carried out in time linear in the number of map features. We describe Divid...
Lina María Paz, José E. Guivant, Jua...
IROS
2006
IEEE
135views Robotics» more  IROS 2006»
13 years 11 months ago
Real-time 3D SLAM for Humanoid Robot considering Pattern Generator Information
Abstract— Humanoid robotics and SLAM (Simultaneous Localisation and Mapping) are certainly two of the most significant themes of the current worldwide robotics research effort, ...
Olivier Stasse, Andrew J. Davison, Ramzi Sellaouti...
IROS
2009
IEEE
151views Robotics» more  IROS 2009»
13 years 11 months ago
A comparison of SLAM algorithms based on a graph of relations
— In this paper, we address the problem of creating an objective benchmark for comparing SLAM approaches. We propose a framework for analyzing the results of SLAM approaches base...
Wolfram Burgard, Cyrill Stachniss, Giorgio Grisett...
ICRA
2005
IEEE
129views Robotics» more  ICRA 2005»
13 years 10 months ago
Exactly Sparse Delayed-State Filters
— This paper presents the novel insight that the SLAM information matrix is exactly sparse in a delayedstate framework. Such a framework is used in view-based representations of ...
Ryan Eustice, Hanumant Singh, John J. Leonard