CLARU
Voxel512026cc-by-4.0

fomo-multimodal-sample

A 6-episode multimodal sample from the FoMo dataset, a year-long multi-season robot navigation dataset recorded in a boreal forest near Quebec City, featuring stereo/mono cameras, dual lidar, FMCW radar, dual IMU, audio, wheel odometry, and PPK-GNSS ground-truth pose.

Downloads0
Episodes6
Likes1

Why This Matters for Physical AI

This multimodal off-road navigation dataset provides diverse seasonal sensor data (winter to summer conditions) essential for developing robust SLAM, odometry, and autonomous navigation systems in unstructured outdoor environments.

Technical Profile

Modalities
rgblidarradarimuaudioproprioceptionpoint_cloud
Robot Embodiments
mobile_robot
Environment
outdoorforest
Task Types
navigationautonomous-navigationodometryslam
Episodes
6
Data Format
MCAP
License
cc-by-4.0
Part of the FoMo family

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