| --- |
| 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). |
|
|
