Research Article
Proposing Lane and Obstacle Detection Algorithm Using YOLO to Control Self-Driving Cars on Advanced Networks
Table 4
Results of lane detection for different conditions with TuSimple dataset.
| No. | Condition | Total number of videos | Correct identifiers | Incorrect identifiers | Accuracy rate of identification (%) |
| 1 | Daytime | 524 | 519 | 5 | 99.04 | 2 | Weather | 625 | 612 | 13 | 97.92 | 3 | Traffic environment | 918 | 906 | 12 | 98.69 | 4 | Road surface condition | 715 | 687 | 28 | 96.08 | 5 | Total | 2782 | 2733 | 58 | 97.91 |
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