Research Article
Proposing Lane and Obstacle Detection Algorithm Using YOLO to Control Self-Driving Cars on Advanced Networks
Table 7
Comparison of obstacle detection algorithm.
| | Algorithm | Average accuracy (%) | Average processing time (second) | Environmental system |
| | HOG + SVM [37] | 57.80 | 4.28 | GPU GTX 980Ti | | Horizontal filter + Otsu [35] | 75.00 | 0.030 | CPU Intel 3.30 GHz | | Faster R-CNN [38] | 81.60 | 2.00 | NVIDIA TITAN X and GP106 (DrivePX2) | | Our proposal (YOLO) | 81.90 | 0.91 | Intel Core i5- 9300H CPU 2.4 GHz | | Our proposal (YOLO) | 81.90 | 0.022 | GPU NVIDIA TITAN |
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