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» A Discussion of Simultaneous Localization and Mapping
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IJCAI
2003
13 years 8 months ago
FastSLAM 2.0: An Improved Particle Filtering Algorithm for Simultaneous Localization and Mapping that Provably Converges
Proceedings of IJCAI 2003 In [15], Montemerlo et al. proposed an algorithm called FastSLAM as an efficient and robust solution to the simultaneous localization and mapping proble...
Michael Montemerlo, Sebastian Thrun, Daphne Koller...
IJRR
2010
185views more  IJRR 2010»
13 years 5 months ago
FISST-SLAM: Finite Set Statistical Approach to Simultaneous Localization and Mapping
The solution to the problem of mapping an environment and at the same time using this map to localize (the simultaneous localization and mapping, SLAM, problem) is a key prerequis...
Bharath Kalyan, K. W. Lee, W. Sardha Wijesoma
HUC
2009
Springer
14 years 1 days ago
Simultaneous localization and mapping for pedestrians using only foot-mounted inertial sensors
In this paper we describe a new Bayesian estimation approach for simultaneous mapping and localization for pedestrians based on odometry with foot mounted inertial sensors. When s...
Patrick Robertson, Michael Angermann, Bernhard Kra...
ICRA
2006
IEEE
123views Robotics» more  ICRA 2006»
14 years 1 months ago
Simultaneous Localization and Mapping with Environmental Structure Prediction
—Traditionally, simultaneous localization and mapping (SLAM) algorithms solve the localization and mapping problem in explored regions. This paper presents a prediction-based SLA...
H. Jacky Chang, C. S. George Lee, Yung-Hsiang Lu, ...
ICRA
2003
IEEE
103views Robotics» more  ICRA 2003»
14 years 21 days ago
Simultaneous localization and mapping with unknown data association using fastSLAM
— The Extended Kalman Filter (EKF) has been the de facto approach to the Simultaneous Localization and Mapping (SLAM) problem for nearly fifteen years. However, the EKF has two ...
Michael Montemerlo, Sebastian Thrun