Traffic Sensing Methodology Combining Influence Line Theory and Computer Vision Techniques for Girder Bridges

<figure class="figure-group responsive"><div class="sub-figure" id="a"><object data="https://static.hindawi.com/articles/js/volume-2019/3409525/figures/3409525.fig.006a.svgz" name="3409525.fig.006a" type="image/svg+xml"></object><div class="fig-label">(a) Multi-vehicle overlap</div></div><div class="sub-figure" id="b"><object data="https://static.hindawi.com/articles/js/volume-2019/3409525/figures/3409525.fig.006b.svgz" name="3409525.fig.006b" type="image/svg+xml"></object><div class="fig-label">(b) Illumination change</div></div><div class="sub-figure" id="c"><object data="https://static.hindawi.com/articles/js/volume-2019/3409525/figures/3409525.fig.006c.svgz" name="3409525.fig.006c" type="image/svg+xml"></object><div class="fig-label">(c) Axle segmentation</div></div></figure>

<p>Vehicle recognition results for different scenarios.</p>

Journal of Sensors

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Figure 6

Figure 6: Traffic Sensing Methodology Combining Influence Line Theory and Computer Vision Techniques for Girder Bridges 