REAL-TIME PREDICTION ALGORITHM WITH A DISTRIBUTED HYDROLOGICAL MODEL USING KALMAN FILTER

Real - Time Reservoir Model Updating Using Ensemble Kalman Filter

This paper was selected for presentation by an SPE Program Committee following review of information contained in a proposal submitted by the author(s). Contents of the paper, as presented, have not been reviewed by the Society of Petroleum Engineers and are subject to correction by the author(s). The material, as presented, does not necessarily reflect any position of the Society of Petroleum ...

Real-time Tracking with Kalman Filter

automatically updated during the matching process, This paper describes a real-time tracking system which detects an object entering into the field of view of camera and executes the tracking of the detected object by controlling a servo device so that a target object always lies at the center of an image frame. In order to detect and track a moving object, we basically apply a model matching s...

Kalman Filter in Real Time URBIS

A real-time hydrological model for flood prediction using GIS and the WWW

The purpose of this paper is to examine the current status of real time hydrological models used for flood nowcasting and hazard mitigation and indicate how WWW-based systems can overcome some of the limitations of existing systems. Whilst hydrologically innovative and robust models are available, they are poorly suited to real time application, are often not well integrated with spatial datase...

Heading Estimation with Real-time Compensation Based on Kalman Filter Algorithm for an Indoor Positioning System

Abstract: The problem of heading drift error using only low cost Micro-Electro-Mechanical (MEMS) Inertial-Measurement-Unit (IMU) has not been well solved. In this paper, a heading estimation method with real-time compensation based on Kalman filter has been proposed, abbreviated as KHD. For the KHD method, a unified heading error model is established for various predictable errors in magnetic c...