CLARU
LuMonDepth2026mit

LunarSim: A Synthetic Dataset of the LuMon Benchmark

A synthetic dataset of paired stereo imagery and pixel-aligned depth maps designed for evaluating monocular depth estimation on lunar surfaces, captured in a high-fidelity Unity-based simulator to address domain gaps from harsh lunar shadows, textureless regolith, and absence of atmospheric scattering.

Downloads4K
Episodes3228

Why This Matters for Physical AI

This dataset enables evaluation of depth estimation models under extreme lunar optical conditions to improve perception systems for autonomous lunar rovers and enable sim-to-real transfer for space robotics applications.

Technical Profile

Modalities
rgbdepth
Robot Embodiments
rover
Environment
simulation
Task Types
depth-estimation
Episodes
3228
Data Format
png
Annotation Types
depth_maps
License
mit
Part of the LunarSim: A Synthetic Dataset of the LuMon Benchmark family

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