A Vehicle Detection Model Based on 5G-V2X for Smart City Security Perception

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/wcmc/volume-2021/5237568/figures/5237568.fig.009a.svgz" name="5237568.fig.009a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Image</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/wcmc/volume-2021/5237568/figures/5237568.fig.009b.svgz" name="5237568.fig.009b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>I-CenterNet</td></tr><tr class="fig-image" id="c"><td><object data="https://static.hindawi.com/articles/wcmc/volume-2021/5237568/figures/5237568.fig.009c.svgz" name="5237568.fig.009c" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(c) </b>CenterNet</td></tr></table>

<div>Comparison of modules with enhanced center points: (a) the input image; (b) the result of the model in this paper; (c) the output result of CenterNet. It can be seen from the results that the center point enhancement model is used, and the predicted midline point is closer to the true center point of the target.</div>

Wireless Communications and Mobile Computing

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Figure 9

Figure 9: A Vehicle Detection Model Based on 5G-V2X for Smart City Security Perception 