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» Merging maps of multiple robots
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AMS
2007
Springer
221views Robotics» more  AMS 2007»
14 years 1 months ago
Visual Bearing-Only Simultaneous Localization and Mapping with Improved Feature Matching
Abstract. In this this paper, we present a solution to the simultaneous localization and mapping (SLAM) problem for a robot equipped with a single perspective camera. We track extr...
Hauke Strasdat, Cyrill Stachniss, Maren Bennewitz,...
AAAI
2000
13 years 9 months ago
Coordination for Multi-Robot Exploration and Mapping
This paper addresses the problem of exploration and mapping of an unknown environment by multiple robots. The mapping algorithm is an on-line approach to likelihood maximization t...
Reid G. Simmons, David Apfelbaum, Wolfram Burgard,...
AAAI
2011
12 years 7 months ago
Multi-Observation Sensor Resetting Localization with Ambiguous Landmarks
Successful approaches to the robot localization problem include Monte Carlo particle filters, which estimate non-parametric localization belief distributions. However, particle ...
Brian Coltin, Manuela M. Veloso
IROS
2008
IEEE
112views Robotics» more  IROS 2008»
14 years 1 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
CRV
2009
IEEE
139views Robotics» more  CRV 2009»
13 years 5 months ago
A Multiple Hypothesis Tracking Method with Fragmentation Handling
In this paper, we present a new multiple hypotheses tracking (MHT) approach. Our tracking method is suitable for online applications, because it labels objects at every frame and ...
Atousa Torabi, Guillaume-Alexandre Bilodeau