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MVA
1990
133views Computer Vision» more  MVA 1990»
13 years 8 months ago
Using and Generating Environment Models for Indoor Mobile Robots
An autonomous mobile robot must be able to combine uncertain sensory information with prior knowledge of the world. Moreover, these operations have to be performed fast enough for...
Yuval Roth-Tabak, Terry E. Weymouth
ICRA
2003
IEEE
130views Robotics» more  ICRA 2003»
14 years 16 hour ago
Direct plane tracking in stereo images for mobile navigation
— We present a novel plane tracking algorithm based on the direct update of surface parameters from two stereo images. The plane tracking algorithm is posed as an optimization pr...
Jason J. Corso, Darius Burschka, Gregory D. Hager
IROS
2006
IEEE
151views Robotics» more  IROS 2006»
14 years 23 days ago
Robust Feature Correspondences for Vision-Based Navigation with Slow Frame-Rate Cameras
— We propose a vision-based inertial system that overcomes the problems associated with slow update rates in navigation systems based on high-resolution cameras. Due to bandwidth...
Darius Burschka
ICRA
2009
IEEE
138views Robotics» more  ICRA 2009»
14 years 1 months ago
Which landmark is useful? Learning selection policies for navigation in unknown environments
Abstract— In general, a mobile robot that operates in unknown environments has to maintain a map and has to determine its own location given the map. This introduces significant...
Hauke Strasdat, Cyrill Stachniss, Wolfram Burgard
ICRA
2002
IEEE
171views Robotics» more  ICRA 2002»
13 years 11 months ago
Robust Tracking and Structure from Motion with Sample Based Uncertainty Representation
Geometric reconstruction of the environment from images is critical in autonomous mapping and robot navigation. Geometric reconstruction involves feature tracking, i.e., locating ...
Peng Chang, Martial Hebert