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» Sampling-Based Motion Planning Using Predictive Models
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ICMCS
2006
IEEE
97views Multimedia» more  ICMCS 2006»
14 years 4 months ago
Fast Progressive Model Refinement Global Motion Estimation Algorithm with Prediction
Global Motion Estimation (GME) is an important part in the object-based applications. In this paper, a fast progressive model refinement (FPMR) GME algorithm is proposed. It can s...
Haifeng Wang, Jia Wang, Qingshan Liu, Hanqing Lu
ICIP
2000
IEEE
14 years 2 months ago
Model-Aided Coding: Using 3-D Scene Models in Motion-Compensated Video Coding
We show that traditional waveform-coding and 3-D modelbased coding are not competing alternatives but should be combined to support and complement each other. Both approaches are ...
Peter Eisert, Thomas Wiegand, Bernd Girod
ICAT
2003
IEEE
14 years 3 months ago
Head Motion Prediction in Augmented Reality Systems Using Monte Carlo Particle Filters
A basic problem with Augmented Reality systems using Head-Mounted Displays (HMDs) is the perceived latency or lag. This delay corresponds to the elapsed time between the moment wh...
Fakhreddine Ababsa, Jean-Yves Didier, Malik Mallem...
AR
2008
143views more  AR 2008»
13 years 10 months ago
Toward Human-Like Real-Time Manipulation: From Perception to Motion Planning
Human-like behavior is crucial for intelligent service robots that are to perform versatile tasks in day to day life. In this paper, an integrated approach to human-like manipulat...
Sukhan Lee, Hadi Moradi, Daesik Jang, Han-Young Ja...
ICRA
2010
IEEE
132views Robotics» more  ICRA 2010»
13 years 9 months ago
Sampling-based motion planning with temporal goals
Abstract— This paper presents a geometry-based, multilayered synergistic approach to solve motion planning problems for mobile robots involving temporal goals. The temporal goals...
Amit Bhatia, Lydia E. Kavraki, Moshe Y. Vardi