Sciweavers

AMDO
2004
Springer
13 years 10 months ago
Image Cues Fusion for Object Tracking Based on Particle Filter
Particle filter is a powerful algorithm to deal with non-linear and non-Gaussian tracking problems. However the algorithm relying only upon one image cue often fails in challengin...
Peihua Li, François Chaumette
PREMI
2005
Springer
13 years 10 months ago
Fusing Depth and Video Using Rao-Blackwellized Particle Filter
We address the problem of fusing sparse and noisy depth data obtained from a range finder with features obtained from intensity images to estimate ego-motion and refine 3D struct...
Amit K. Agrawal, Rama Chellappa
ATAL
2005
Springer
13 years 10 months ago
Approximating state estimation in multiagent settings using particle filters
State estimation consists of updating an agent’s belief given executed actions and observed evidence to date. In single agent environments, the state estimation can be formalize...
Prashant Doshi, Piotr J. Gmytrasiewicz
ICRA
2005
IEEE
210views Robotics» more  ICRA 2005»
13 years 10 months ago
Improving Grid-based SLAM with Rao-Blackwellized Particle Filters by Adaptive Proposals and Selective Resampling
— Recently Rao-Blackwellized particle filters have been introduced as effective means to solve the simultaneous localization and mapping (SLAM) problem. This approach uses a par...
Giorgio Grisetti, Cyrill Stachniss, Wolfram Burgar...
IROS
2006
IEEE
139views Robotics» more  IROS 2006»
13 years 10 months ago
Tracking Articulating Objects from Ground Vehicles using Mixtures of Mixtures
— An algorithm for tracking articulating objects from moving camera platforms is presented. Mixtures of mixtures are used to model the appearance of the object and the background...
Wael Abd-Almageed, Mohamed E. Hussein, Larry S. Da...
ICARCV
2006
IEEE
180views Robotics» more  ICARCV 2006»
13 years 10 months ago
Simultaneous Localization and Mapping with Stereo Vision
— In the simultaneous localization and mapping (SLAM) problem, a mobile robot must build a map of its environment while simultaneously determining its location within that map. W...
Matthew N. Dailey, Manukid Parnichkun
KES
2007
Springer
13 years 10 months ago
Fuzzy Adaptive Particle Filter for Localization of a Mobile Robot
Localization is one of the important topics in robotics and it is essential to execute a mission. Most problems in the class of localization are due to uncertainties in the modelin...
Young-Joong Kim, Chan-Hee Won, Jung-Min Pak, Myo-T...
ICRA
2007
IEEE
167views Robotics» more  ICRA 2007»
13 years 10 months ago
Planar batting under shape, pose, and impact uncertainty
— This paper explores the planning and control of a manipulation task accomplished in conditions of high uncertainty. Statistical techniques, like particle filters, provide a fr...
Jiaxin L. Fu, Siddhartha S. Srinivasa, Nancy S. Po...
ICC
2007
IEEE
131views Communications» more  ICC 2007»
13 years 10 months ago
Experimental Deployment of Particle Filters in WiFi Networks
— Location tracking in wireless networks has many applications, including enhanced network performance. In this work we investigate the experimental use of “particle filter”...
Zawar Shah, Robert A. Malaney, Xun Wei, Keith Tai
ICRA
2008
IEEE
199views Robotics» more  ICRA 2008»
13 years 11 months ago
Gamma-SLAM: Using stereo vision and variance grid maps for SLAM in unstructured environments
— We introduce a new method for stereo visual SLAM (simultaneous localization and mapping) that works in unstructured, outdoor environments. Unlike other gridbased SLAM algorithm...
Tim K. Marks, Andrew Howard, Max Bajracharya, Garr...