An Online Semisupervised Learning Model for Pedestrians’ Crossing Intention Recognition of Connected Autonomous Vehicle Based on Mobile Edge Computing Applications

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_left">PC</td><td class="align_center">Feature value</td><td class="align_center">Variance contribution rate (%)</td><td class="align_center">Cumulative variance contribution rate (%)</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left">PC1</td><td class="align_center">3.753</td><td class="align_center">36.958</td><td class="align_center">36.958</td></tr><tr><td class="align_left">PC2</td><td class="align_center">2.241</td><td class="align_center">29.505</td><td class="align_center">66.463</td></tr><tr><td class="align_left">PC3</td><td class="align_center">1.273</td><td class="align_center">25.458</td><td class="align_center">91.921</td></tr><tr><td class="align_left">PC4</td><td class="align_center">0.673</td><td class="align_center">4.802</td><td class="align_center">96.723</td></tr><tr><td class="align_left">PC5</td><td class="align_center">0.528</td><td class="align_center">3.277</td><td class="align_center">100</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Wireless Communications and Mobile Computing

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Table 2

Table 2: An Online Semisupervised Learning Model for Pedestrians’ Crossing Intention Recognition of Connected Autonomous Vehicle Based on Mobile Edge Computing Applications 

Table 2 | An Online Semisupervised Learning Model for Pedestrians’ Crossing Intention Recognition of Connected Autonomous Vehicle Based on Mobile Edge Computing Applications 