Semantic Segmentation of point clouds using range images.
Developed by Andres Milioto, Jens Behley, Ignacio Vizzo, and Cyrill Stachniss
Examples of segmentation results from SemanticKITTI dataset: ptcl ptcl
This code provides code to train and deploy Semantic Segmentation of LiDAR scans, using range images as intermediate representation. The training pipeline can be found in /train. We will open-source the deployment pipeline soon.