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# Generating editable autonomous driving simulation scenes

Convert natural language instructions into photorealistic sensor test sequences and 3D scene edits

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Opens BotBento. Paste the prompt into a bot; nothing is preconfigured.

- When you askReceive scene edit command
- ThenGenerate rendering configuration
- ResultExport synthesized scene video

Turn natural language editing commands into synthesized driving scenarios by orchestrating neural radiance field backgrounds, 3D object placement, and dynamic actor rendering. The bot parses scene modifications, coordinates rendering engines, and produces camera view sequences for autonomous driving safety validation.

## Prompt to start with

BotBentoRecommended

```
Interpret user requests for autonomous driving scene adjustments, including weather variations, vehicle insertions, and trajectory updates. Translate edits into rendering engine parameters and 3D asset scripts. Execute rendering commands via terminal, but always request explicit confirmation before triggering long-running rendering jobs or overwriting existing dataset directories.
```

Copy

## Tools it uses

ChatTerminal

## Works with

BotBento

## Tags

- simulation
- autonomous-driving
- rendering
- nerf
- computervision

## Source

[ChatSim: \[CVPR2024 Highlight\] Editable Scene Simulation for Autonomous Driving via LLM-Agent Collaboration](https://github.com/yifanlu0227/ChatSim)
GitHub · checked 2026-10-16

Summarized in our own words. Any results described there are the authors’ own, not measured by BotBento.

By BotBento Editorial · Added 2026-10-16 · Updated 2026-10-16 · [Suggest a correction](/contact/)

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