Table 2 Comparison with the test results of state-of-the-art14,15,16,17
From: An automatic control system based on machine vision and deep learning for car windscreen clean
Wu et al.15 | Wu et al.15 | Kurihata et al.16 | Roser et al.17 | Guo et al.14 | The results of the latest version of YOLO | Our results | ||||
---|---|---|---|---|---|---|---|---|---|---|
(FR) | (SVM) | (Time-Series) | (RAINDROP MODEL) | (Selective Search) | (YOLOv8) | (YOLOv11) | (Day model) | (Night model) | (All-Weather model) | |
Precision | 0.73 | 0.48 | 0.97 | 0.80 | 0.61 | 0.86 | 0.87 | 0.90 | 0.86 | 0.89 |
Recall | 0.65 | 0.86 | 0.51 | 0.67 | 0.71 | 0.804 | 0.81 | 0.83 | 0.8 | 0.82 |
FPS | – | – | – | – | – | 50 | 56 | 58 | 59 | 63 |