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» Learning maps in 3D using attitude and noisy vision sensors
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IROS
2007
IEEE
156views Robotics» more  IROS 2007»
13 years 11 months ago
Learning maps in 3D using attitude and noisy vision sensors
— In this paper, we address the problem of learning 3D maps of the environment using a cheap sensor setup which consists of two standard web cams and a low cost inertial measurem...
Bastian Steder, Giorgio Grisetti, Slawomir Grzonka...
ICARCV
2008
IEEE
184views Robotics» more  ICARCV 2008»
13 years 11 months ago
Learning informative point classes for the acquisition of object model maps
—This paper proposes a set of methods for building informative and robust feature point representations, used for accurately labeling points in a 3D point cloud, based on the typ...
Radu Bogdan Rusu, Zoltan Csaba Marton, Nico Blodow...
ICPR
2004
IEEE
14 years 6 months ago
Rotation Estimation from Spherical Images
Robotic navigation algorithms increasingly make use of the panoramic field of view provided by omnidirectional images to assist with localization tasks. Since the images taken by ...
Ameesh Makadia, Kostas Daniilidis, Lorenzo Sorgi
ICPR
2008
IEEE
13 years 11 months ago
Radon transform and Conformal Geometric Algebra with lines
In this paper we apply the classic theory of Harmonic Analysis and the Conformal Geometric Algebra (CGA) to evaluate the Fourier transform on the unit sphere S2 and on the rotatio...
Luis Falcón-Morales, Eduardo Bayro-Corrocha...
TROB
2008
86views more  TROB 2008»
13 years 4 months ago
Visual SLAM for Flying Vehicles
The ability to learn a map of the environment is important for numerous types of robotic vehicles. In this paper, we address the problem of learning a visual map of the ground usin...
Bastian Steder, Giorgio Grisetti, Cyrill Stachniss...