CLARU
jp-cypresscc-by-nc-4.0

DataFurnace: AMR & SLAM Synthetic Evaluation Dataset

A procedurally generated synthetic dataset for evaluating autonomous mobile robots (AMR), AGVs, and SLAM/VIO/3D perception algorithms in warehouse environments. Provides perfectly synchronized multi-modal outputs including RGB, depth, semantic segmentation, and 3D bounding boxes with ground truth generated directly from 3D scene graphs.

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Technical Profile

Modalities
rgbdepthsemantic_segmentation3d_bounding_boxcostmap
Robot Embodiments
autonomous_mobile_robotautomated_guided_vehicle
Environment
warehousesimulation
Task Types
navigationslamvisual_odometry3d_perception
Data Format
png, json
License
cc-by-nc-4.0
Part of the DataFurnace: AMR & SLAM Synthetic Evaluation Dataset family

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