hzjian123/VLArena
Closed-loop evaluation for end-to-end VLM autonomous driving agent
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.
Stars
25
Forks
4
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 08, 2025
Commits (30d)
0
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