We present a new approach to multi sensor fusion which is based on coupled nonlinear attractor dynamics. The state of the dynamics represents the fused estimate of a physical entity measured by multiple sensors. Each sensor-reading but also general expert knowledge about the measured system specifies a local stable fixed point (attractor) with a limited basin of attraction of the dynamics. The dynamic state variable converges to a global stable state which is the system's fused estimate. For the example of measuring the oil film thickness on seawater by means of multispectral radiometer measurements gathered during flights across a polluted area, we show that our approach is particularly useful for fusing multimodal strongly perturbed sensor data.
CITATION STYLE
Steinhage, A., Winkel, C., & Gorontzi, K. (1999). Attractor dynamics to fuse strongly perturbed sensor data. In International Geoscience and Remote Sensing Symposium (IGARSS) (Vol. 2, pp. 1217–1219). IEEE. https://doi.org/10.1109/igarss.1999.774583
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