Table 1.
Related works on the driver monitoring system.
| Fatigue or | Detection | Used | Environments | Maximum | |||||
|---|---|---|---|---|---|---|---|---|---|
| Paper | Distraction | Drowsiness | Face | Eye | Landmark | Algorithms | CPU | GPU | FPS * |
| [19] | ✓ | ✓ | ✓ | VGG | H** | H | 89.2 | ||
| [20] | ✓ | ✓ | MTDNN | H | H | 33.0 | |||
| [21] | ✓ | ✓ | ✓ | MTCNN, AlexNet | Jetson TX1 | 14.9 | |||
| [22] | ✓ | ✓ | ✓ | VGG | H | H | 63.7 | ||
| [23] | ✓ | ✓ | ✓ | MTCNN based on VGG | H | H | - | ||
| [24] | ✓ | ✓ | ✓ | Eye aspect ratio based on landmark | i.MX6Quad | 16.0 | |||
| [25] | ✓ | ✓ | ✓ | Spectral/linear regression | H | - | 5.0 | ||
| [26] | ✓ | ✓ | ✓ | Random forest classification | H | - | 22.0 | ||
| [27] | ✓ | AlexNet, VGG, GoogleNet, ResNet | Jetson TX1 | 14.0 | |||||
| [14] | ✓ | AlexNet, VGG, FlowNet | - | - | - | ||||
* FPS: Frames per second. ** H: High Performance.