Builds 3D map of indoor environments from RGBD images.
Pipeline
- Segmentate every RGB image on two classes: empty (floor) and occupied
- Read if available relative translations between this and previous images. If translations not available predict them.
- Construct point cloud of occupied pixels in image.
- Intergrate this local point cloud to global map.