Introducing RoadGPT: AI-Powered Scenario Generation for AV Testing

Community Research & Projects Spotlight
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We’re excited to share a new research project: RoadGPT, a tool that can automatically generate 3D road scenarios for autonomous vehicle testing from simple text descriptions.

Highlights:

  • Turns natural language prompts into fully functional 3D roads in BeamNG.tech.

  • Powered by OpenAI’s ChatGPT, combining AI with high-fidelity simulation.

  • Validated with expert user studies — showing strong usability and potential.

  • Could become a standard tool for AV scenario creation, making testing faster and more flexible.

This opens up interesting possibilities for the community: creating custom test scenarios, experimenting with unusual road layouts, or even training AV systems in diverse environments, all from a textual description!

We’d love to hear your thoughts:

  • How would you use something like RoadGPT in your projects?

  • Any ideas for scenarios you’d like to generate automatically?

Explore More:

For a deeper dive into RoadGPT, including access to simulation videos and survey data, visit the Zenodo repository and / or check out the paper here: BeamNG.tech Research

:writing_hand: Authors:
Alessio Gambi, Dejan Nickovic, Benedikt Steininger, Chrysanthi Papamichail, David Stark

Let’s start a conversation! :automobile::dashing_away:

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Just wanted to point out that the link to the research paper points to the list of research papers, that however doesnt seem to contain a paper about this project. Maybe im just not looking right?

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Yes, you are right. You can find it under this title “Automatically Generating Content for Testing Autonomous Vehicles from User Descriptions”.

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This would be interesting, previously I saw some BeamNG work that uses NLPs to re-generate scenarios from crash report. It would be nice to see those scenarios being generated with the powerful LLMs we have right now.

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