Table 3 Performance comparison in Daytime road conditions.
From: Enhancing lane detection in autonomous vehicles with multi-armed bandit ensemble learning
Segmentation Model | Accuracy | RMSE | IoU | Dice Coefficient |
|---|---|---|---|---|
Enet | 92.33 | 14.62 | 94.39 | 90.41 |
MAB-Ensemble | 98.74 | 11.99 | 98.02 | 99.45 |
PINet | 94.87 | 14.52 | 97.01 | 93.05 |
ResNet101 | 91.83 | 14.71 | 93.88 | 89.82 |
ResNet50 | 90.77 | 15.18 | 92.79 | 88.29 |
SqueezeNet | 91.38 | 14.83 | 93.42 | 89.25 |
VGG16Net | 87.43 | 15.48 | 89.35 | 84.65 |
