An early warning model for starfish disaster based on multi-sensor fusion

A Study on TPMS Pre-warning Threshold Algorithm Based on Multi-sensor Data Fusion

In order to improve the precision of the tire pressure monitoring system, the Bayes method is applied to establish its mathematical model of multi-sensor information fusion. The temperature and pressure in the tire, which are the complementary information, are integrated in the model through analyzing the mechanism of tire burst generated by temperature and pressure. Through the temperature com...

An early warning on early warning systems!

mortality forecasting based on lee-carter model

over the past decades a number of approaches have been applied for forecasting mortality. in 1992, a new method for long-run forecast of the level and age pattern of mortality was published by lee and carter. this method was welcomed by many authors so it was extended through a wider class of generalized, parametric and nonlinear model. this model represents one of the most influential recent d...

Multi-Sensor based Collision Warning System

The collision warning system presented in this paper is based on multi-sensor fusion methodology. The warning system uses distance measurements from radar, vision and sonar. In the aim for a feasible product, both from a reliability and a cost consideration standpoint, the vision system is built from a single image processing line, using prisms. From the single image, containing a dual angle vi...

Model - based sensor fusion for

We describe a sensor fusion algorithm based on a set of simple assumptions about the relationship among the sensors. Under these assumptions we estimate the common signal in each sensor, and the optimal fusion is then approximated by a weighted sum of the common component in each sensor output at each pixel. We then examine a variety of techniques to map the sensor signals onto perceptual dimen...