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A simple motion model might be a Gaussian function in terms of location and heading change.
Figure 5 Mean of errors at track end as the function of heading change error.
In this paper, we investigate models for fusing heading change information from IMU with WLAN measurements.
Table 2 details a correlation matrix relating individual differences to the heading change difference score and path efficiency.
On the one hand, if observation residual or heading change is large, the target is strongly maneuvering with high probability.
Next, given the observation residual and the heading change in the current prediction, these rules are applied to determine the magnitude of the fading factor.
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It also considers the effect of roll, pitch and heading changes.
Considering this fact, observation residuals and heading changes are usually combined to detect maneuvers.
In Experiment 2, we examined the dynamics of heading changes on approach to an intersection.
In various characteristics, observation residuals and heading changes are two important characteristics of the motion model.
The same was found to be true for responses indicating up or down after heading changes in the horizontal plane.
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