SphNet: A Spherical Network for Semantic Pointcloud Segmentation
Lukas Bernreiter,Lionel Ott,Roland Siegwart,Cesar Cadena,Lukas Bernreiter,Lionel Ott,Roland Siegwart,Cesar Cadena
Semantic segmentation for robotic systems can enable a wide range of applications, from self-driving cars and augmented reality systems to domestic robots. We argue that a spherical representation is a natural one for egocentric pointclouds. Thus, in this work, we present a novel framework exploiting such a representation of LiDAR pointclouds for the task of semantic segmentation. Our approach is ...
