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» The SLAM problem: a survey
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ICRA
2005
IEEE
114views Robotics» more  ICRA 2005»
15 years 3 months ago
A Proof for the Approximate Sparsity of SLAM Information Matrices
— For the Simultaneous Localization and Mapping problem several efficient algorithms have been proposed that make use of a sparse information matrix representation (e.g. SEIF, T...
Udo Frese
KI
2010
Springer
14 years 4 months ago
eSLAM - Self Localisation and Mapping Using Embodied Data
Autonomous mobile robots have the potential to change our everyday life. Unresolved challenges which span a large spectrum of artificial intelligence research need to be answered t...
Jakob Schwendner, Frank Kirchner
ICRA
2003
IEEE
126views Robotics» more  ICRA 2003»
15 years 2 months ago
Results for outdoor-SLAM using sparse extended information filters
Abstract — In [13], a new algorithm was proposed for efficiently solving the simultaneous localization and mapping (SLAM) problem. In this paper, we extend this algorithm to han...
Yufeng Liu, Sebastian Thrun
CVPR
2006
IEEE
15 years 11 months ago
Real-Time Visual SLAM with Resilience to Erratic Motion
Simultaneous localisation and mapping using a single camera becomes difficult when erratic motions violate predictive motion models. This problem needs to be addressed when visual...
Mark Pupilli, Andrew Calway
ICRA
2009
IEEE
162views Robotics» more  ICRA 2009»
15 years 4 months ago
SLAM in large indoor environments with low-cost, noisy, and sparse sonars
— Simultaneous localization and mapping (SLAM) is a well-studied problem in mobile robotics. However, the majority of the proposed techniques for SLAM rely on the use of accurate...
Teddy N. Yap Jr., Christian R. Shelton