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» Probabilistic Mapping of an Environment by a Mobile Robot
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CDC
2009
IEEE
157views Control Systems» more  CDC 2009»
14 years 2 days ago
On trajectory optimization for active sensing in Gaussian process models
Abstract— We consider the problem of optimizing the trajectory of a mobile sensor with perfect localization whose task is to estimate a stochastic, perhaps multidimensional fiel...
Jerome Le Ny, George J. Pappas
ICCV
2003
IEEE
14 years 9 months ago
Statistical Background Subtraction for a Mobile Observer
Statistical background modelling and subtraction has proved to be a popular and effective class of algorithms for segmenting independently moving foreground objects out from a sta...
Eric Hayman, Jan-Olof Eklundh
IROS
2006
IEEE
147views Robotics» more  IROS 2006»
14 years 1 months ago
Opportunistic Use of Vision to Push Back the Path-Planning Horizon
Abstract— Mobile robots need maps or other forms of geometric information about the environment to navigate. The mobility sensors (LADAR, stereo, etc.) on these robotic vehicles ...
Bart C. Nabbe, Derek Hoiem, Alexei A. Efros, Marti...
ICRA
2010
IEEE
226views Robotics» more  ICRA 2010»
13 years 5 months ago
Indoor scene recognition through object detection
Abstract— Scene recognition is a highly valuable perceptual ability for an indoor mobile robot, however, current approaches for scene recognition present a significant drop in p...
Pablo Espinace, Thomas Kollar, Alvaro Soto, Nichol...
TROB
2002
149views more  TROB 2002»
13 years 7 months ago
LOST: localization-space trails for robot teams
Abstract-We describe Localization-Space Trails (LOST), a method that enables a team of robots to navigate between places of interest in an initially unknown environment using a tra...
Richard T. Vaughan, Kasper Støy, Gaurav S. ...