File size: 1,831 Bytes
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license: cc-by-4.0
pretty_name: DrivingBench Simulator
tags:
- gaussian-splatting
- autonomous-driving
- simulation
---
# DrivingBench Simulator
The Gaussian splats behind the [DrivingBench](https://drivingbench.com) simulator, a drivable twin of
the v1.1 cone course. They were trained on the Tesla Model 3's own road camera on 27 October 2026,
from frames taken between 15:30 and 17:00. The simulator itself (the course, its cones, the
drivable region and the car fitted to the Tesla's logs) is in the
[DrivingBench harness](https://github.com/aditya-ramabadran/drivingbench_harness_code), under `sim/`.
| File | Gaussians | Size | Used by | SHA-256 |
| --- | --- | --- | --- | --- |
| `oct27-nocones-full.splat` | 2,924,873 | 93.6 MB | the simulated road camera | `c306e7ae33aaa002c138b070ab31710a68827e8a20f0db1610e933a352a17c9c` |
| `oct27-nocones.splat` | 1,500,000, the most opaque | 48 MB | the lot explorer in a browser | `672709eddd03b05dc93e1f127b21887e31fdd6c5aa2b931ddc16a4ac34d6fa17` |
Both are `.splat` files (32 bytes per Gaussian: position, scale, colour and opacity, rotation), in
the course frame in metres. The real cones and the haze along the car's path are removed; the
simulator places the course's cones back as objects.
## Use
From a checkout of the harness at `v1.1`:
```sh
uvx --from huggingface_hub hf download drivingbench/simulator --repo-type dataset \
--include "*.splat" --local-dir runs/sim/explorer
uv run python -m drivingbench.sim.runtime # the simulator, on 127.0.0.1:8877
uv run python -m drivingbench.sim.explorer.serve # the lot explorer, on 127.0.0.1:8890
```
The harness's `docs/sim.md` describes how the splats were built and how faithful the simulator is.
## License
CC BY 4.0. If you use the splats, please link [drivingbench.com](https://drivingbench.com).
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