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IROS
2006
IEEE
162views Robotics» more  IROS 2006»
10 years 5 months ago
Efficiency Improvement in Monte Carlo Localization through Topological Information
- Monte Carlo localization is known to be one of the most reliable methods for pose estimation of a mobile robot. Many studies have been conducted to improve performance of MCL. Al...
Tae-Bum Kwon, Ju-Ho Yang, Jae-Bok Song, Woojin Chu...
ICRA
2010
IEEE
111views Robotics» more  ICRA 2010»
9 years 10 months ago
Improved Monte Carlo localization of autonomous robots through simultaneous estimation of motion model parameters
Abstract— In recent years, there has been an increasing interest in autonomous navigation for lightweight flying robots. With regard to self-localization flying robots have sev...
Jörg Müller 0004, Christoph Gonsior, Wol...
ICRA
2008
IEEE
112views Robotics» more  ICRA 2008»
10 years 6 months ago
Negative information and line observations for Monte Carlo localization
— Localization is a very important problem in robotics and is critical to many tasks performed on a mobile robot. In order to localize well in environments with few landmarks, a ...
Todd Hester, Peter Stone
ADHOC
2008
101views more  ADHOC 2008»
9 years 11 months ago
Monte Carlo localization for mobile wireless sensor networks
Localization is crucial to many applications in wireless sensor networks. In this article, we propose a range-free anchorbased localization algorithm for mobile wireless sensor ne...
Aline Baggio, Koen Langendoen
JNS
2016
84views more  JNS 2016»
4 years 7 months ago
Improving Prediction Skill of Imperfect Turbulent Models Through Statistical Response and Information Theory
Turbulent dynamical systems with a large phase space and a high degree of instabilities are ubiquitous in climate science and engineering applications. Statistical uncertainty quan...
Andrew J. Majda, Di Qi
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