Research Article
Traffic Scene Depth Analysis Based on Depthwise Separable Convolutional Neural Network
Table 1
Depth estimation results on the KITTI data set.
| Method | Accuracy (higher is better) | Error (lower is better) | | | | rms | log_rms | log10 |
| Xie et al. [26] | 0.488 | 0.947 | 0.972 | 2.6440 | 0.272 | 0.167 | Laina et al. [9] | 0.674 | 0.943 | 0.972 | 2.4618 | 0.243 | 0.126 | Yin et al. [27] | 0.640 | 0.947 | 0.979 | 2.5193 | 0.247 | 0.134 | Dimitrievski et al. [40] | 0.634 | 0.916 | 0.945 | 2.8246 | 0.305 | 0.127 | Mancini et al. [25] | 0.566 | 0.945 | 0.970 | 2.6507 | 0.264 | 0.145 | Proposed1 | 0.693 | 0.949 | 0.975 | 2.3993 | 0.232 | 0.117 | Proposed2 | 0.691 | 0.949 | 0.976 | 2.3676 | 0.231 | 0.117 | Proposed3 | 0.699 | 0.949 | 0.975 | 2.3786 | 0.232 | 0.116 |
|
|