Inferencing indoor room semantics using random forest and relational graph convolutional networks (deep learning)
Posted in Crowd Analyser, Publications on Aug 20th, 2020
Semantically rich maps are the foundation of indoor location‐based services. Many map providers such as OpenStreetMap and automatic mapping solutions focus on the representation and detection of geometric information (e.g., shape of room) and a few semantics (e.g., stairs and furniture) but often still neglect room usage. To mitigate the issue, a new published paper [...]