google-deepmind / google-deepmind/mujoco

Feature Proposal: Integrate OSM data to build environments for vehicle-world interaction

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enhancement
Dominant language
C++
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Merged PRs (30d)
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Description

### The feature, motivation and pitch

**Description**
This feature involves using OpenStreetMap (OSM) data to create virtual environments with realistic road attributes, such as bumpy surfaces (maybe just randomly simulated), slopes, and varying conditions. These features would allow modeling how road-induced forces (e.g., from bumps or acceleration changes) affect humans inside the vehicle. In general, these motion forces might be more relevant for other use cases.

**Motivation**
Simulating such dynamics is critical for studying human-vehicle interaction, including passenger comfort, motion sickness, and interface usability under real-world driving conditions.

**Pitch**
Integrating OSM data would enable realistic testing of human responses to vehicle forces, aiding research in autonomous driving, ergonomics, and simulation-based design.

### Alternatives

_No response_

### Additional context

_No response_

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