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SACSoN Social Navigation
Human-aware indoor navigation
UC Berkeley RAIL
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75 hours of autonomous navigation in busy university buildings with pedestrians in view, logging camera, LiDAR, odometry and actions plus human trajectories — collected to train socially compliant policies that minimise disruption to people.
Reported structure
Values below come from the dataset's own documentation. Missing fields are shown as not provided rather than estimated.
2 cameras
2 DoF
5 Hz
Not provided
Data modalities
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