DeepTemporalSeg: Temporally Consistent Semantic Segmentation of 3D LiDAR Scans
Ayush Dewan,Wolfram Burgard,Ayush Dewan,Wolfram Burgard
Understanding the semantic characteristics of the environment is a key enabler for autonomous robot operation. In this paper, we propose a deep convolutional neural network (DCNN) for semantic segmentation of a LiDAR scan into the classes car, pedestrian and bicyclist. This architecture is based on dense blocks and efficiently utilizes depth separable convolutions to limit the number of parameters...
