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» Probabilistic localization with a blind robot
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CORR
2002
Springer
113views Education» more  CORR 2002»
13 years 8 months ago
Robust Global Localization Using Clustered Particle Filtering
Global mobile robot localization is the problem of determining a robot's pose in an environment, using sensor data, when the starting position is unknown. A family of probabi...
Javier Nicolás Sánchez, Adam Milstei...
ICRA
2008
IEEE
116views Robotics» more  ICRA 2008»
14 years 3 months ago
A pure probabilistic approach to range-only SLAM
— Range-Only SLAM represents a difficult problem due to the inherent ambiguity of localizing either the robot or the beacons from distance measurements only. Most previous appro...
Jose-Luis Blanco, Javier Gonzalez, Juan-Antonio Fe...
ICRA
2007
IEEE
115views Robotics» more  ICRA 2007»
14 years 2 months ago
Sensor Selection Using Information Complexity for Multi-sensor Mobile Robot Localization
—Our sensor selection algorithm targets the problem of global self-localization of multi-sensor mobile robots. The algorithm builds on the probabilistic reasoning using Bayes fil...
Sreenivas R. Sukumar, Hamparsum Bozdogan, David L....
ICDAR
2005
IEEE
14 years 2 months ago
Improved Text-Detection Methods for a Camera-based Text Reading System for Blind Persons
Automatic text recognition from natural images receives a growing attention because of potential applications in image retrieval, robotics and intelligent transport system. Camera...
Nobuo Ezaki, Kimiyasu Kiyota, Bui Truong Minh, Mar...
AAAI
2006
13 years 10 months ago
Bayesian Calibration for Monte Carlo Localization
Localization is a fundamental challenge for autonomous robotics. Although accurate and efficient techniques now exist for solving this problem, they require explicit probabilistic...
Armita Kaboli, Michael H. Bowling, Petr Musí...