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For the nodal mobility, the RWP and random direction models were primarily adopted in the simulations; but those models could not commendably reflect the actual mobility characteristics of the vehicles.
However, our study does not indicate whether LvOT neuronal populations are specific to stimulus type in the bottom-up direction (Models B1 and B2 in Fig. 1) or whether differences between the visual forms of words and pictures are represented in LvOT by distributed patterns of responses across shared neuronal populations (Model B3 in Fig. 1).
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Thus, for each frame we build a direction model which is called an instantaneous direction model.
input Direction model D that contains mixtures of vM distributions.
Input framesOptical flow estimationEstimated direction model for the input frames.
Section 3 details the estimation of the Direction Model.
The body direction model can be seen in Fig. 3.
For the random direction model, the sense field is 3 km by 3 km.
Then we apply a region-based segmentation algorithm to the direction model.
The direction model creation is an iterative process composed of two stages.
We implement the H + 1 hop forwarding scheme in the random direction model.
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