hzjian123/VLArena

Closed-loop evaluation for end-to-end VLM autonomous driving agent

36
/ 100
Emerging

VLArena helps autonomous driving researchers and engineers develop and test self-driving car agents in realistic, simulated environments. It takes raw sensor data, like camera feeds, and processes it to produce driving-specific outputs and decisions. This system is ideal for those working on end-to-end multimodal models for autonomous vehicles.

No commits in the last 6 months.

Use this if you need to thoroughly evaluate and refine autonomous driving models by simulating complex, interactive traffic scenarios and automatically generating detailed annotations.

Not ideal if you are not working on autonomous driving systems or if your primary need is for hardware-in-the-loop testing rather than generative simulation.

autonomous-driving self-driving-cars AD-simulation vehicle-AI robotics-testing
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 13 / 25

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Stars

25

Forks

4

Language

Python

License

Apache-2.0

Last pushed

Mar 08, 2025

Commits (30d)

0

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