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» Sampling-Based Motion Planning Using Predictive Models
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IROS
2006
IEEE
175views Robotics» more  IROS 2006»
14 years 4 months ago
Toward Online Probabilistic Path Replanning in Dynamic Environments
— This paper presents work on sensor-based motion planning in initially unknown dynamic environments. Motion detection and modeling are combined with a smooth navigation function...
Roland Philippsen, Björn Jensen, Roland Siegw...
ISBI
2009
IEEE
14 years 5 months ago
A Shape-Navigated Image Deformation Model for 4D Lung Respiratory Motion Estimation
Intensity modulated radiation therapy (IMRT) for cancers in the lung remains challenging due to the complicated respiratory dynamics. We propose a shape-navigated dense image defo...
Xiaoxiao Liu, Rohit R. Saboo, Stephen M. Pizer, Gi...
FGR
2008
IEEE
170views Biometrics» more  FGR 2008»
14 years 4 months ago
Using an adaptive VAR Model for motion prediction in 3D hand tracking
A robust VAR-based (vector autoregressive) model is introduced for motion prediction in 3D hand tracking. This dynamic VAR motion model is learned in an online manner. The kinemat...
Desmond Chik, Jochen Trumpf, Nicol N. Schraudolph
ICRA
2006
IEEE
144views Robotics» more  ICRA 2006»
14 years 4 months ago
Adapting Probabilistic Roadmaps to Handle Uncertain Maps
Abstract— Randomized motion planning techniques are responsible for many of the recent successes in robot control. However, most motion planning algorithms assume perfect and com...
Patrycja E. Missiuro, Nicholas Roy
ICCV
1998
IEEE
15 years 8 days ago
Visual Motion Estimation and Prediction: A Probabilistic Network Model for Temporal Coherence
We develop a theory for the temporal integration of visual motion motivated by psychophysical experiments. The theory proposes that input data are temporally grouped and used to p...
Alan L. Yuille, Pierre-Yves Burgi, Norberto M. Grz...