Voxel512024cc-by-4.0
SemanticSpray++ Multimodal (MCAP)
A multimodal labeled dataset of 36 vehicle-following recordings on wet surfaces with synchronized camera, LiDAR (three streams), and radar data, plus 2D/3D bounding boxes and point-wise semantic labels for adverse-weather perception testing.
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Episodes36
Likes1
Why This Matters for Physical AI
This dataset provides real-world multimodal sensor data with dense annotations for testing autonomous vehicle perception systems in challenging wet-surface adverse-weather conditions.
Technical Profile
- Modalities
- rgblidarradarpoint_cloud
- Robot Embodiments
- autonomous_vehicle
- Environment
- outdoor
- Task Types
- object_detectionsemantic_segmentation
- Episodes
- 36
- Data Format
- MCAP
- Annotation Types
- bounding_boxessemantic_labels
- License
- cc-by-4.0
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