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» The SLAM problem: a survey
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ICRA
2006
IEEE
174views Robotics» more  ICRA 2006»
16 years 12 days ago
Multi-scale point and line range data algorithms for mapping and localization
— This paper presents a multi-scale point and line based representation of two-dimensional range scan data. The techniques are based on a multi-scale Hough transform and a tree r...
Samuel T. Pfister, Joel W. Burdick
ICRA
2005
IEEE
132views Robotics» more  ICRA 2005»
15 years 12 months ago
Handling the Inconsistency of Relative Map Filter
— In [5], a version of Relative Map Filter (RMF) is proposed to solve the simultaneous localization and map building (SLAM) problem. In the RMF, the map states contain only quant...
Viet Nguyen, Agostino Martinelli, Roland Siegwart
DAGM
2004
Springer
15 years 11 months ago
A Probabilistic Framework for Robust and Accurate Matching of Point Clouds
We present a probabilistic framework for matching of point clouds. Variants of the ICP algorithm typically pair points to points or points to lines. Instead, we pair data points to...
Peter Biber, Sven Fleck, Wolfgang Straßer
ISER
2004
Springer
300views Robotics» more  ISER 2004»
15 years 11 months ago
Large-Scale Robotic 3-D Mapping of Urban Structures
This article present results for building accurate 3-D maps of urban environments with a mobile Segway RMP. The goal of this project is to use robotic systems to rapidly acquire 3-...
Michael Montemerlo, Sebastian Thrun
JIRS
2006
128views more  JIRS 2006»
15 years 6 months ago
A Modified Particle Filter for Simultaneous Localization and Mapping
The implementation of a particle filter (PF) for vision-based bearing-only simultaneous localization and mapping (SLAM) of a mobile robot in an unstructured indoor environment is p...
N. M. Kwok, A. B. Rad