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» Feature Based Condensation for Mobile Robot Localization
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ICRA
2000
IEEE
145views Robotics» more  ICRA 2000»
13 years 8 months ago
Feature Based Condensation for Mobile Robot Localization
Much attention has been given to CONDENSATION methods for mobile robot localization. This has resulted in somewhat of a breakthrough in representing uncertainty for mobile robots....
Patric Jensfelt, David J. Austin, Olle Wijk, Magnu...
CVPR
1999
IEEE
14 years 6 months ago
Using the Condensation Algorithm for Robust, Vision-based Mobile Robot Localization
To navigate reliably in indoor environments, a mobile robot must know where it is. This includes both the ability of globally localizing the robot from scratch, as well as trackin...
Frank Dellaert, Wolfram Burgard, Dieter Fox, Sebas...
ICRA
2000
IEEE
95views Robotics» more  ICRA 2000»
13 years 8 months ago
Experiments on Augmenting Condensation for Mobile Robot Localization
Patric Jensfelt, Olle Wijk, David J. Austin, Magnu...
ICRA
2002
IEEE
150views Robotics» more  ICRA 2002»
13 years 9 months ago
Color Landmark Based Self-Localization for Indoor Mobile Robots
We present a simple artificial landmark model and a robust tracking algorithm for the navigation of indoor mobile robots. The landmark model is designed to have a three-dimensiona...
Gi-jeong Jang, Sungho Kim, Wang-Heon Lee, In-So Kw...
ICRA
2003
IEEE
164views Robotics» more  ICRA 2003»
13 years 9 months ago
Mobile robot self-localization based on global visual appearance features
This paper presents a novel method for mobile robot localization using visual appearance features. A multidimensional-histogram is used to describe the global appearance features ...
Chao Zhou, Yucheng Wei, Tieniu Tan