HD semantic map learning
The goal of task is to generate map elements in a vectorized form using data from onboard sensors, e.g., RGB cameras and/or LiDARs. These map elements include but are not limited to : Road boundaries, boundaries of roads that split roads and sidewalks.
Papers
No papers found.
Benchmark Results
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | VectorMapNet | Chamfer AP | 35.8 | — | Unverified |
| 2 | HDMapNet | Chamfer AP | 18.8 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | VectorMapNet | Chamfer AP | 53.7 | — | Unverified |
| 2 | HDMapNet | Chamfer AP | 31 | — | Unverified |