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» Probabilistic localization with a blind robot
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CORR
2002
Springer
113views Education» more  CORR 2002»
15 years 3 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»
15 years 10 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»
15 years 10 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....
141
Voted
ICDAR
2005
IEEE
15 years 9 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
15 years 5 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...