Research Article
Proposing Lane and Obstacle Detection Algorithm Using YOLO to Control Self-Driving Cars on Advanced Networks
Table 6
Results of lane detection for different size of window with the TuSimple dataset.
| No. | Size of window (pixels) | Correct identifiers | Incorrect identifiers | Average accuracy (%) | Average processing time (second) |
| 1 | 50 | 1863 | 137 | 93.15 | 0.0855 | 2 | 100 | 1928 | 72 | 96.40 | 0.0872 | 3 | 150 | 1916 | 84 | 95.80 | 0.0922 | 4 | 200 | 1891 | 109 | 94.55 | 0.0942 | 5 | 300 | 1825 | 175 | 91.25 | 0.0963 |
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