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ICRA
2006
IEEE
123views Robotics» more  ICRA 2006»
14 years 1 months ago
Simultaneous Localization and Mapping with Environmental Structure Prediction
—Traditionally, simultaneous localization and mapping (SLAM) algorithms solve the localization and mapping problem in explored regions. This paper presents a prediction-based SLA...
H. Jacky Chang, C. S. George Lee, Yung-Hsiang Lu, ...
JIRS
2006
128views more  JIRS 2006»
13 years 7 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
CVPR
1999
IEEE
14 years 9 months ago
Using the Condensation Algorithm for Robust, Vision-based Mobile Robot Localization
To navigate reliably in indoor environments, a mobile robot must know where it is. This includes both the ability of globally localizing the robot from scratch, as well as trackin...
Frank Dellaert, Wolfram Burgard, Dieter Fox, Sebas...
FLAIRS
2006
13 years 8 months ago
Use of Dempster-Shafer Conflict Metric to Adapt Sensor Allocation to Unknown Environments
This paper considers a robot with multiple sensors navigating an unknown, heterogeneous environment. In these cases sensor errors may produce an unsuitable model of the world. For...
Jennifer Carlson, Robin R. Murphy
ICRA
1999
IEEE
192views Robotics» more  ICRA 1999»
13 years 11 months ago
Cooperative Robot Localization with Vision-Based Mapping
Two stereo vision-based mobile robots navigate and autonomously explore their environment safely while building occupancy grid maps of the environment. A novel landmark recognitio...
Cullen Jennings, Don Murray, James J. Little