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» Geometric Robot Mapping
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ICRA
2009
IEEE
218views Robotics» more  ICRA 2009»
13 years 5 months ago
Automatically and efficiently inferring the hierarchical structure of visual maps
In Simultaneous Localisation and Mapping (SLAM), it is well known that probabilistic filtering approaches which aim to estimate the robot and map state sequentially suffer from poo...
Margarita Chli, Andrew J. Davison
ICRA
2009
IEEE
151views Robotics» more  ICRA 2009»
14 years 2 months ago
Probabilistic estimation of Multi-Level terrain maps
— Recent research has shown that robots can model their world with Multi-Level (ML) surface maps, which utilize ‘patches’ in a 2D grid space to represent various environment ...
Cesar Rivadeneyra, Isaac Miller, Jonathan R. Schoe...
ICRA
2008
IEEE
199views Robotics» more  ICRA 2008»
14 years 2 months ago
Gamma-SLAM: Using stereo vision and variance grid maps for SLAM in unstructured environments
— We introduce a new method for stereo visual SLAM (simultaneous localization and mapping) that works in unstructured, outdoor environments. Unlike other gridbased SLAM algorithm...
Tim K. Marks, Andrew Howard, Max Bajracharya, Garr...
JFR
2007
163views more  JFR 2007»
13 years 7 months ago
Real-time localization and elevation mapping within urban search and rescue scenarios
Urban Search And Rescue (USAR) is a time critical task. Rescue teams have to explore a large terrain within a short amount of time in order to locate survivors after a disaster. O...
Alexander Kleiner, Christian Dornhege
ICML
1996
IEEE
14 years 8 months ago
Passive Distance Learning for Robot Navigation
Autonomous mobile robots need good models of their environment, sensors and actuators to navigate reliably and efficiently. While this information can be supplied by humans, or le...
Sven Koenig, Reid G. Simmons