Multi Sensor Fusion for Object Detection Using Generalized Feature Models

@inproceedings{Cramer2003MultiSF,
  title={Multi Sensor Fusion for Object Detection Using Generalized Feature Models},
  author={Heiko Cramer and Ullrich Scheunert and G. Wanielik Chemnitz},
  year={2003}
}
This paper presents a multi sensor tracking system and introduces the use of new generalized feature models. To detect and recognize objects as selfcontained parts of the real world with two or more sensors of the same or of several types requires on the one hand fusion methods suitable for combining the data coming from the set of sensors in an optimal manner. This is realized by a sensor fusion principle on the basis of a Kalman filter. On the other hand it is necessary to model objects under… CONTINUE READING