Semantic Segmentation on KITTI tracking annotated
86.9Class IoU (building)Zhang et al.
Evaluation results
| Method | Links | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Zhang et al.Classifier=Random Forests, Input=Unimodal 3D point cloud2017.10 | 86.9 | — | 49.8 | — | 89.2 | 55 | 26.2 | 50 | 49 | 19.3 | 51.7 | 21.1 | |
| SEGCloudInput=Laser point cloud (no RGB)2017.10 | 85.86 | 36.78 | 49.46 | — | 88.84 | 68.73 | 29.74 | 67.51 | 53.52 | 7.27 | 39.62 | 4.05 | |
| 3D-FCNN-TIInput=Laser point cloud (no RGB)2017.10 | 85.83 | 35.65 | 47.24 | — | 90.57 | 70.5 | 25.56 | 65.68 | 46.35 | 7.78 | 28.4 | 4.51 |