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» Controlling Model Complexity in Flow Estimation
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MMNS
2007
105views Multimedia» more  MMNS 2007»
13 years 9 months ago
Monitoring Flow Aggregates with Controllable Accuracy
In this paper, we show the feasibility of real-time flow monitoring with controllable accuracy in today’s IP networks. Our approach is based on Netflow and A-GAP. A-GAP is a prot...
Alberto Gonzalez Prieto, Rolf Stadler
INFOCOM
1997
IEEE
14 years 18 days ago
Performance Analysis of Multicast Flow Control Algorithms over Combined Wired/Wireless Networks
Abstract—A multicast flow control framework for data traffic traversing both a wired and wireless network is proposed. Markov-modulated fluid (MMF) models are used for the rec...
Huayan Amy Wang, Mischa Schwartz
IROS
2006
IEEE
137views Robotics» more  IROS 2006»
14 years 2 months ago
A Robust Docking Strategy for a Mobile Robot using Flow Field Divergence
— We present a robust strategy for docking a mobile robot in close proximity with an upright surface using optical flow field divergence. Unlike previous approaches, we achieve...
Chris McCarthy, Nick Barnes
CDC
2009
IEEE
161views Control Systems» more  CDC 2009»
13 years 9 months ago
Quadratic Programming based data assimilation with passive drifting sensors for shallow water flows
We present a method for assimilating Lagrangian sensor measurement data into a Shallow Water Equation model. Using our method, the variational data assimilation problem is formulat...
Andrew Tinka, Issam S. Strub, Qingfang Wu, Alexand...
DAGM
2009
Springer
14 years 9 days ago
An Efficient Linear Method for the Estimation of Ego-Motion from Optical Flow
Abstract. Approaches to visual navigation, e.g. used in robotics, require computationally efficient, numerically stable, and robust methods for the estimation of ego-motion. One of...
Florian Raudies, Heiko Neumann