KAIST-Lane
KAIST-Lane (K-Lane) is the world’s first and the largest public urban road and highway lane dataset for Lidar. K-Lane has more than 15K frames and contains annotations of up to six lanes under various road and traffic conditions, e.g., occluded roads of multiple occlusion levels, roads at day and night times, merging (converging and diverging) and curved lanes.
Variants: K-Lane
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Lane Detection | LLDN-GFC | K-Lane: Lidar Lane Dataset and … | 2021-10-21 |
Recent papers with results on this dataset: