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IBPRIA
2005
Springer
14 years 1 months ago
Monte Carlo Localization Using SIFT Features
The ability of finding its situation in a given environment is crucial for an autonomous agent. While navigating through a space, a mobile robot must be capable of finding its lo...
Arturo Gil, Óscar Reinoso, Maria Asunci&oac...
ICRA
2006
IEEE
138views Robotics» more  ICRA 2006»
14 years 1 months ago
Evaluation of Algorithms for bearing-only SLAM
— An important milestone for building affordable robots that can become widely popular is to address robustly the Simultaneous Localization and Mapping (SLAM) problem with inexpe...
Kostas E. Bekris, Max Glick, Lydia E. Kavraki
ICRA
2009
IEEE
218views Robotics» more  ICRA 2009»
13 years 5 months ago
Automatically and efficiently inferring the hierarchical structure of visual maps
In Simultaneous Localisation and Mapping (SLAM), it is well known that probabilistic filtering approaches which aim to estimate the robot and map state sequentially suffer from poo...
Margarita Chli, Andrew J. Davison
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. ...
ICRA
2009
IEEE
191views Robotics» more  ICRA 2009»
14 years 2 months ago
Distributed coverage control for mobile sensors with location-dependent sensing models
— This paper addresses the problem of coverage control of a network of mobile sensors. In the current literature, this is commonly formulated as a locational optimization problem...
Ajay Deshpande, Sameera Poduri, Daniela Rus, Gaura...