Proposing Lane and Obstacle Detection Algorithm Using YOLO to Control Self-Driving Cars on Advanced Networks

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Parameter</td><td class="align_center">Valuable</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Total number of frames (frames)</td><td class="align_center">195</td></tr><tr><td class="align_left">Correct identifiers (frames)</td><td class="align_center">166</td></tr><tr><td class="align_left">Incorrect identifiers (frames)</td><td class="align_center">29</td></tr><tr><td class="align_left">Average accuracy (%)</td><td class="align_center">85.13</td></tr><tr><td class="align_left">Average processing time (second)</td><td class="align_center">0.086</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Results of lane detection for different conditions with KITTI dataset.</div>

Advances in Multimedia

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Table 3

Table 3: Proposing Lane and Obstacle Detection Algorithm Using YOLO to Control Self-Driving Cars on Advanced Networks 