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» Swarm-supported outdoor localization with sparse visual data
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IJPRAI
2008
144views more  IJPRAI 2008»
13 years 7 months ago
Unsupervised Learning of a Hierarchy of Topological Maps Using Omnidirectional Images
unsupervised construction of topological maps, which provide an abstraction of the environment in terms of visual aspects. An unsupervised clustering algorithm is used to represent...
Ales Stimec, Matjaz Jogan, Ales Leonardis
ICCV
2003
IEEE
14 years 9 months ago
A Sparse Probabilistic Learning Algorithm for Real-Time Tracking
This paper addresses the problem of applying powerful pattern recognition algorithms based on kernels to efficient visual tracking. Recently Avidan [1] has shown that object recog...
Oliver M. C. Williams, Andrew Blake, Roberto Cipol...
ICRA
2008
IEEE
199views Robotics» more  ICRA 2008»
14 years 1 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...
ICRA
2009
IEEE
126views Robotics» more  ICRA 2009»
14 years 2 months ago
Leaving Flatland: Toward real-time 3D navigation
— We report our first experiences with Leaving Flatland, an exploratory project that studies the key challenges of closing the loop between autonomous perception and action on c...
Benoit Morisset, Radu Bogdan Rusu, Aravind Sundare...
IROS
2007
IEEE
204views Robotics» more  IROS 2007»
14 years 1 months ago
Over-the-horizon, autonomous navigation for planetary exploration
— The success of NASA’s Mars Exploration Rovers has demonstrated the important benefits that mobility adds to planetary exploration. Very soon, mission requirements will impos...
Ioannis M. Rekleitis, Jean-Luc Bedwani, Erick Dupu...