In multi-sensor data fusion (or sensor fusion), sensor biases (or offsets) often affect the accuracy of the correlation and integration results of the tracking targets. Therefore, to estimate and compensate the bias, several methods are proposed. However, most methods involve bias estimation and sensor fusion simultaneously by using Kalman filter after collecting the plot data together. Hence, ...

In order to process data fusion, the author proposes a multidimensional sensor fusion processing system based on big data. The discusses principle and basic steps of analyzes classification common methods fusion. Then, structure training DBN algorithm are emphatically expounded, experiments carried out randomly collected datasets through algorithm, validity is verified, evaluated. experimental ...

This paper proposes a new approach for calibration of dead reckoning process. Using the well-known UMBmark (University of Michigan Benchmark) is not sufficient for a desirable calibration of dead reckoning. Besides, existing calibration methods usually require explicit measurement of actual motion of the robot. Some recent methods use the smart encoder trailer or long range finder sensors such ...