TorWIC (The Toronto Warehouse Incremental Change Dataset)
Introduced by Qian et al. in POCD: Probabilistic Object-Level Change Detection and Volumetric Mapping in Semi-Static Scenes
TorWIC is the dataset discussed in POCD: Probabilistic Object-Level Change Detection and Volumetric Mapping in Semi-Static Scenes. The purpose of this dataset is to evaluate the map mainteneance capabilities in a warehouse environment undergoing incremental changes. This dataset is collected in a Clearpath Robotics facility.
Papers
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