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ICRA
2005
IEEE
145views Robotics» more  ICRA 2005»
14 years 1 months ago
Modeling the Static and the Dynamic Parts of the Environment to Improve Sensor-based Navigation
— This paper addresses the modeling of the static and dynamic parts of the scenario and how to use this information within a real sensor-based navigation system. The contribution...
Luis Montesano, Javier Minguez, Luis Montano
ICRA
1994
IEEE
99views Robotics» more  ICRA 1994»
13 years 12 months ago
An Optimal Sonar Array for Target Localization and Classification
A novel sonar array for mobile robots is presented with applications to localization and mapping of indoor environments. The ultrasonic sensor localizes and classifies multiple ta...
Lindsay Kleeman, Roman Kuc
IJCAI
1989
13 years 9 months ago
Coping With Uncertainty in Map Learning
In many applications in mobile robotics, it is important for a robot to explore its environment in order to construct a representation of space useful for guiding movement. We refe...
Kenneth Basye, Thomas Dean, Jeffrey Scott Vitter
ICRA
2003
IEEE
116views Robotics» more  ICRA 2003»
14 years 1 months ago
Linear time vehicle relocation in SLAM
Abstract— In this paper we propose an algorithm to determine the location of a vehicle in an environment represented by a stochastic map, given a set of environment measurements ...
José Neira, Juan D. Tardós, Jos&eacu...
ICRA
2006
IEEE
128views Robotics» more  ICRA 2006»
14 years 1 months ago
Probabilistic Location Recognition using Reduced Feature Set
Abstract— The localization capability is central to basic navigation tasks and motivates development of various visual navigation systems. In this paper we describe a two stage a...
Fayin Li, Jana Kosecka