anthonytec22026mit
OctoSense
A time-synchronized, calibrated multi-sensor driving dataset with 371 sequences spanning 59 hours and 2,474 km across urban, suburban, and rural environments, featuring synchronized stereo RGB, event cameras, infrared, LiDAR, IMUs, GPS, and ground truth annotations for depth, ego-motion, and semantic segmentation.
Downloads6K
Likes35
Technical Profile
- Modalities
- rgbevent_camerainfraredlidarimugpscandepthoptical_flowsemantic_segmentation
- Robot Embodiments
- autonomous_vehicle
- Environment
- urbansuburbanruralhighwayresidentialcity
- Task Types
- autonomous_drivingdepth_estimationsemantic_segmentationego_motion_estimationoptical_flow
- Data Format
- HDF5
- License
- mit
Community Signals
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