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TROB
2008
123views more  TROB 2008»
15 years 1 months ago
iSAM: Incremental Smoothing and Mapping
We present incremental smoothing and mapping (iSAM), a novel approach to the simultaneous localization and mapping problem that is based on fast incremental matrix factorization. i...
Michael Kaess, Ananth Ranganathan, Frank Dellaert
QEST
2010
IEEE
14 years 11 months ago
Canonical Form Based MAP(2) Fitting
The importance of the order two Markovian arrival process (MAP(2)) comes from its compactness, serving either as arrival or service process in applications, and from the nice prope...
Levente Bodrog, Peter Buchholz, Jan Kriege, Mikl&o...
ECCV
2000
Springer
16 years 3 months ago
On the Structure and Properties of the Quadrifocal Tensor
The quadrifocal tensor which connects image measurements along 4 views is not yet well understood as its counterparts the fundamental matrix and the trifocal tensor. This paper es...
Amnon Shashua, Lior Wolf
IROS
2009
IEEE
230views Robotics» more  IROS 2009»
15 years 8 months ago
Stability and robustness analysis tools for marine robot localization and SLAM applications
— Our aim is to explore the fundamental stability issues of a robotic vehicle carrying out localization, mapping, and feedback control in a perturbation-filled environment. Moti...
Brendan Englot, Franz Hover
IROS
2007
IEEE
135views Robotics» more  IROS 2007»
15 years 7 months ago
Power-SLAM: A linear-complexity, consistent algorithm for SLAM
— In this paper, we present an Extended Kalman Filter (EKF)-based estimator for simultaneous localization and mapping (SLAM) with processing requirements that are linear in the n...
Esha D. Nerurkar, Stergios I. Roumeliotis