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ISRR
2001
Springer
105views Robotics» more  ISRR 2001»
13 years 9 months ago
Towards Robust Data Association and Feature Modeling for Concurrent Mapping and Localization
One of the most challenging aspects of concurrent mapping and localization (CML) is the problem of data association. Because of uncertainty in the origins of sensor measurements, i...
John J. Leonard, Paul M. Newman, Richard J. Rikosk...
IJRR
2002
98views more  IJRR 2002»
13 years 4 months ago
Robust Mapping and Localization in Indoor Environments Using Sonar Data
In this paper we describe a new technique for the creation of featurebased stochastic maps using standard Polaroid sonar sensors. The fundamental contributions of our proposal are...
Juan D. Tardós, José Neira, Paul M. ...
ICRA
2010
IEEE
116views Robotics» more  ICRA 2010»
13 years 3 months ago
Learning visibility of landmarks for vision-based localization
— We aim to perform robust and fast vision-based localization using a pre-existing large map of the scene. A key step in localization is associating the features extracted from t...
Pablo Fernández Alcantarilla, Sang Min Oh, ...
ICRA
2002
IEEE
135views Robotics» more  ICRA 2002»
13 years 9 months ago
Towards Multi-Vehicle Simultaneous Localisation and Mapping
This paper presents a novel approach to the multi-vehicle Simultaneous Localisation and Mapping (SLAM) problem that exploits the manner in which observations are fused into the gl...
Stefan B. Williams, Gamini Dissanayake, Hugh F. Du...
ISER
2000
Springer
147views Robotics» more  ISER 2000»
13 years 8 months ago
Incorporation of Delayed Decision Making into Stochastic Mapping
Abstract: This paper presents a technique for incorporating delayed decision making into stochastic mapping algorithms for concurrent mapping and localization. The approach explici...
John J. Leonard, Richard J. Rikoski