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» Merging maps of multiple robots
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AMS
2007
Springer
221views Robotics» more  AMS 2007»
15 years 11 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
15 years 6 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
14 years 5 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»
15 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
CRV
2009
IEEE
139views Robotics» more  CRV 2009»
15 years 2 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