MetaDrive
- Software
- Cars
- Simulator
MetaDrive is an open-source driving simulator for AI and autonomy research, built to generate varied driving scenes for training and testing reinforcement learning agents.
Made by MetaDriverse.
Source on GitHub: github.com/metadriverse/metadrive (opens in a new tab). Facts read at commit fe54b03 (opens in a new tab).
Licenses
- Code
- Apache-2.0 (opens in a new tab)
Read by Robotheca from LICENSE.txt (opens in a new tab) (Apache-2.0) at commit fe54b03 (opens in a new tab), on 16 Oct 2026.
- Commercial use
- Yes
What it does
- Synthesises scenes with varied road maps and traffic, or loads real-world driving logs, for research on generalizable RL.
- Designed to be lightweight and easy to install on Linux, Windows and macOS, with sensor simulation support.
- Reports running at up to more than 1000 FPS on a standard PC.
- Provides accurate physics simulation and multiple sensor inputs, including point cloud, RGB, depth and semantic images, a top-down semantic map and first-person images.
- Offers single-agent and multi-agent environments, including roundabout, intersection, tollgate, bottleneck, parking lot and pgmap scenarios.
- Can replay scenarios built from the nuScenes or Waymo datasets, with optional reactive traffic driven by an IDM policy.
Written by Robotheca from the project's README (opens in a new tab) at commit fe54b03.
Getting started
- Difficulty
- Intermediate
- How to start
- The project's website (opens in a new tab)
Maintenance
- Status
- Active: a commit in the last 90 days
- Newest commit
- 16 Oct 2026 on main
- Latest release
- MetaDrive-0.4.3 (6 Dec 2024)
Checked on GitHub on 16 Oct 2026.
Links
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