ForEnt is a new dataset of time-synchronized RGB-D, LiDAR, proprioceptive and third-person video recordings from 69 labeled forest entrapment events collected across eight sites with a quadruped robot.
Forent: A multi-modal dataset for characterizing quadruped robot entrapments in forest environments,
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ForEnt: A Multi-Modal Dataset for Characterizing Quadruped Robot Entrapments in Forest Environments
ForEnt is a new dataset of time-synchronized RGB-D, LiDAR, proprioceptive and third-person video recordings from 69 labeled forest entrapment events collected across eight sites with a quadruped robot.