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» The Common State Filter for SLAM
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IROS
2008
IEEE
112views Robotics» more  IROS 2008»
13 years 11 months ago
The Common State Filter for SLAM
— This paper presents the Common State Filter (CSF), a novel and efficient suboptimal Multiple Hypothesis SLAM (MHSLAM) method for Kalman Filter-based SLAM algorithms. Conventio...
Martin P. Parsley, Simon J. Julier
IJRR
2010
185views more  IJRR 2010»
13 years 3 months ago
FISST-SLAM: Finite Set Statistical Approach to Simultaneous Localization and Mapping
The solution to the problem of mapping an environment and at the same time using this map to localize (the simultaneous localization and mapping, SLAM, problem) is a key prerequis...
Bharath Kalyan, K. W. Lee, W. Sardha Wijesoma
TROB
2008
164views more  TROB 2008»
13 years 4 months ago
Unscented FastSLAM: A Robust and Efficient Solution to the SLAM Problem
The Rao
Chanki Kim, R. Sakthivel, Wan Kyun Chung
ICRA
2008
IEEE
157views Robotics» more  ICRA 2008»
13 years 11 months ago
Analysis and improvement of the consistency of extended Kalman filter based SLAM
Abstract— In this work, we study the inconsistency of EKFbased SLAM from the perspective of observability. We analytically prove that when the Jacobians of the state and measurem...
Guoquan Huang, Anastasios I. Mourikis, Stergios I....
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