Research Article
Automatic Detection and Classification of Road, Car, and Pedestrian Using Binocular Cameras in Traffic Scenes with a Common Framework
Table 1
Road detection algorithm performance comparison of our and NT-RD method.
| Dataset | Method | | | |
| Enpeda | NT-RD | 0.96030.0741 | 0.91320.0390 | 0.93620.0511 | Ours | 0.9847 0.0217 | 0.9662 0.0173 | 0.9754 0.0193 |
| KITTI | NT-RD | 0.88160.1264 | 0.93230.0968 | 0.90620.1096 | Ours | 0.9372 0.0389 | 0.9637 0.0255 | 0.9503 0.0308 |
| Daimler | NT-RD | 0.91060.0832 | 0.93310.1046 | 0.92170.0927 | Ours | 0.9335 0.0568 | 0.9418 0.0874 | 0.9376 0.0689 |
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is algorithm used in Reference [ 10]. is algorithm proposed in this paper. |