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» Learning Landmarks for Robot Localization
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ICRA
2006
IEEE
138views Robotics» more  ICRA 2006»
15 years 3 months ago
Evaluation of Algorithms for bearing-only SLAM
— An important milestone for building affordable robots that can become widely popular is to address robustly the Simultaneous Localization and Mapping (SLAM) problem with inexpe...
Kostas E. Bekris, Max Glick, Lydia E. Kavraki
TSMC
2002
107views more  TSMC 2002»
14 years 9 months ago
Guaranteed robust nonlinear estimation with application to robot localization
When reliable prior bounds on the acceptable errors between the data and corresponding model outputs are available, bounded-error estimation techniques make it possible to characte...
Luc Jaulin, Michel Kieffer, Eric Walter, Dominique...
IJRR
2010
185views more  IJRR 2010»
14 years 8 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
ICRA
2007
IEEE
133views Robotics» more  ICRA 2007»
15 years 4 months ago
A visual bag of words method for interactive qualitative localization and mapping
— Localization for low cost humanoid or animal-like personal robots has to rely on cheap sensors and has to be robust to user manipulations of the robot. We present a visual loca...
David Filliat
AMFG
2005
IEEE
256views Biometrics» more  AMFG 2005»
15 years 3 months ago
Robust Facial Landmark Detection for Intelligent Vehicle System
Abstract. This paper presents an integrated approach for robustly locating facial landmark for drivers. In the first step a cascade of probability learners is used to detect the f...
Junwen Wu, Mohan M. Trivedi