MetaUrban Documentation

Welcome to the MetaUrban documentation! MetaUrban is a compositional simulation platform for AI-driven urban micromobility research with the following key features:

• Compositional: It supports generating infinite scenes with various road maps and traffic settings for the research of generalizable RL.

• Lightweight: It is easy to install and run.

• Realistic: Accurate physics simulation and multiple sensory input including Lidar, RGB images, top-down semantic map and first-person view images.

This documentation brings you the information on installation, usages and more of MetaUrban!

You can also visit the GitHub repo of MetaUrban. Please feel free to contact us if you have any suggestions or ideas!

Citation

You can read our white paper describing the details of MetaUrban! If you use MetaUrban in your own work, please cite:

 @article{wu2024metaurban,
          title={MetaUrban: An Embodied AI Simulation Platform for Urban Micromobility},
          author={Wu, Wayne and He, Honglin and He, Jack and Wang, Yiran and Duan, Chenda and Liu, Zhizheng and Li, Quanyi and Zhou, Bolei},
          journal={arXiv preprint arXiv:2407.08725},
          year={2024}
}