Pixel-Level Recognition of Pavement Distresses Based on U-Net

<table class="table-group" id="tab5"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Distress</td><td class="align_center">CPA</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">No distress</td><td class="align_center">0.99276</td></tr><tr><td class="align_left">Patch</td><td class="align_center">0.82774</td></tr><tr><td class="align_left">Pothole</td><td class="align_center">0.31902</td></tr><tr><td class="align_left">Transverse crack</td><td class="align_center">0.19139</td></tr><tr><td class="align_left">Block crack</td><td class="align_center">0.25135</td></tr><tr><td class="align_left">Alligator crack</td><td class="align_center">0.14077</td></tr><tr><td class="align_left">Longitudinal crack</td><td class="align_center">0.27439</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>CPA values of different labels using ResNet-34.</div>

Advances in Materials Science and Engineering

tab5

Table 5

Table 5: Pixel-Level Recognition of Pavement Distresses Based on U-Net 