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» Mobile Robot Localization Under Varying Illumination
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CVPR
2004
IEEE
14 years 9 months ago
Estimating Illumination Direction from Textured Images
We study the problem of estimating the illuminant's direction from images of textured surfaces. Given an isotropic, Gaussian random surface with constant albedo, Koenderink an...
Manik Varma, Andrew Zisserman
ICRA
1999
IEEE
126views Robotics» more  ICRA 1999»
13 years 11 months ago
Monte Carlo Localization for Mobile Robots
Mobile robot localization is the problem of determining a robot's pose from sensor data. This article presents a family of probabilisticlocalization algorithms known as Monte...
Frank Dellaert, Dieter Fox, Wolfram Burgard, Sebas...
CORR
2010
Springer
237views Education» more  CORR 2010»
13 years 4 months ago
Featureless 2D-3D Pose Estimation by Minimising an Illumination-Invariant Loss
The problem of identifying the 3D pose of a known object from a given 2D image has important applications in Computer Vision ranging from robotic vision to image analysis. Our pro...
Srimal Jayawardena, Marcus Hutter, Nathan Brewer
ICRA
2010
IEEE
133views Robotics» more  ICRA 2010»
13 years 5 months ago
Variable resolution decomposition for robotic navigation under a POMDP framework
— Partially Observable Markov Decision Processes (POMDPs) offer a powerful mathematical framework for making optimal action choices in noisy and/or uncertain environments, in par...
Robert Kaplow, Amin Atrash, Joelle Pineau
IROS
2009
IEEE
275views Robotics» more  IROS 2009»
14 years 2 months ago
A stereo vision based mapping algorithm for detecting inclines, drop-offs, and obstacles for safe local navigation
— Mobile robots have to detect and handle a variety of potential hazards to navigate autonomously. We present a real-time stereo vision based mapping algorithm for identifying an...
Aniket Murarka, Benjamin Kuipers