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CVPR
2006
IEEE
14 years 7 months ago
Scalable Monocular SLAM
Localization and mapping in unknown environments becomes more difficult as the complexity of the environment increases. With conventional techniques, the cost of maintaining estim...
Ethan Eade, Tom Drummond
ICRA
2007
IEEE
190views Robotics» more  ICRA 2007»
13 years 11 months ago
A UPF-UKF Framework For SLAM
— In this paper we propose a SLAM framework which is based on an algorithm that combines an Unscented Particle Filter (UPF) and Unscented Kalman Filters (UKFs). A UPF is used to ...
Xiang Wang, Hong Zhang
AAAI
2010
13 years 6 months ago
A Single-Step Maximum A Posteriori Update for Bearing-Only SLAM
This paper presents a novel recursive maximum a posteriori update for the Kalman formulation of undelayed bearing-only SLAM. The estimation update step is cast as an optimization ...
Stephen Tully, George Kantor, Howie Choset
IJRR
2010
185views more  IJRR 2010»
13 years 3 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
IJCAI
2003
13 years 6 months ago
DP-SLAM: Fast, Robust Simultaneous Localization and Mapping Without Predetermined Landmarks
We present a novel, laser range finder based algorithm for simultaneous localization and mapping (SLAM) for mobile robots. SLAM addresses the problem of constructing an accurate ...
Austin I. Eliazar, Ronald Parr