Update README.md
Browse files
README.md
CHANGED
|
@@ -183,8 +183,8 @@ Evaluation focuses on rare, long-tail scenarios, including complex intersections
|
|
| 183 |
|
| 184 |
**Quantitative Evaluation Benchmarks:**
|
| 185 |
|
| 186 |
-
- Closed-Loop Evaluation using [AlpaSim](https://github.com/NVlabs/alpasim) on the [PhysicalAI-AV-NuRec Dataset](https://huggingface.co/datasets/nvidia/PhysicalAI-Autonomous-Vehicles-NuRec): AlpaSim Score of 0.
|
| 187 |
-
- Open-Loop Evaluation on the [PhysicalAI-AV Dataset](https://huggingface.co/datasets/nvidia/PhysicalAI-Autonomous-Vehicles): minADE_6 at 6.4s of
|
| 188 |
|
| 189 |
# Inference:
|
| 190 |
|
|
|
|
| 183 |
|
| 184 |
**Quantitative Evaluation Benchmarks:**
|
| 185 |
|
| 186 |
+
- Closed-Loop Evaluation using [AlpaSim](https://github.com/NVlabs/alpasim) on 910 scenarios from the [PhysicalAI-AV-NuRec Dataset](https://huggingface.co/datasets/nvidia/PhysicalAI-Autonomous-Vehicles-NuRec): AlpaSim Score of 0.73 ± 0.01.
|
| 187 |
+
- Open-Loop Evaluation on 937 challenging samples from the [PhysicalAI-AV Dataset](https://huggingface.co/datasets/nvidia/PhysicalAI-Autonomous-Vehicles): minADE_6 at 6.4s of 1.22m.
|
| 188 |
|
| 189 |
# Inference:
|
| 190 |
|