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» Monte Carlo Localization Using SIFT Features
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ICRA
2002
IEEE
177views Robotics» more  ICRA 2002»
15 years 4 months ago
Robust Vision-Based Localization for Mobile Robots using an Image Retrieval System Based on Invariant Features
In this paper we present a vision-based approach to mobile robot localization, that integrates an image retrieval system with Monte-Carlo localization. The image retrieval process...
Jürgen Wolf, Wolfram Burgard, Hans Burkhardt
ICRA
2002
IEEE
126views Robotics» more  ICRA 2002»
15 years 4 months ago
Uniform Monte Carlo Localization - Fast and Robust Self-Localization Method for Mobile Robots
In this paper, we describe a novel self-localizationalgorithm. Self-Localizationmethods are required for to lowercomputational costand handling vague sensordata. Thus, we propose ...
Ryuichi Ueda, Takeshi Fukase, Yuichi Kobayashi, Ta...
PRL
2006
163views more  PRL 2006»
14 years 11 months ago
3D target recognition using cooperative feature map binding under Markov Chain Monte Carlo
A robust and effective feature map integration method is presented for infrared (IR) target recognition. Noise in an IR image makes a target recognition system unstable in pose es...
Sungho Kim, In-So Kweon
ISVC
2010
Springer
14 years 10 months ago
Bivariate Feature Localization for SIFT Assuming a Gaussian Feature Shape
In this paper, the well-known SIFT detector is extended with a bivariate feature localization. This is done by using function models that assume a Gaussian feature shape for the de...
Kai Cordes, Oliver Müller, Bodo Rosenhahn, J&...
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ICRA
2009
IEEE
155views Robotics» more  ICRA 2009»
15 years 6 months ago
Monte Carlo simultaneous localization of multiple unknown transient radio sources using a mobile robot with a directional antenn
— We report our system and algorithm developments that enable a single mobile robot equipped with a directional antenna to simultaneously localize multiple unknown transient radi...
Dezhen Song, Chang-Young Kim, Jingang Yi