4 papers
Depth-Aware Range Image-Based Model for Point Cloud Segmentation
Bike Chen, Antti Tikanmäki, Juha Röning
Point cloud segmentation (PCS) aims to separate points into different and meaningful groups. The task plays an important role in robotics because PCS enables robots to understand t…
An Experimental Study of SOTA LiDAR Segmentation Models
Bike Chen, Antti Tikanmäki, Juha Röning
Point cloud segmentation (PCS) is to classify each point in point clouds. The task enables robots to parse their 3D surroundings and run autonomously. According to different point…
Trainable Pointwise Decoder Module for Point Cloud Segmentation
Bike Chen, Chen Gong, Antti Tikanmäki +1
Point cloud segmentation (PCS) aims to make per-point predictions and enables robots and autonomous driving cars to understand the environment. The range image is a dense represent…
Filling Missing Values Matters for Range Image-Based Point Cloud Segmentation
Bike Chen, Chen Gong, Juha Röning
Point cloud segmentation (PCS) plays an essential role in robot perception and navigation tasks. To efficiently understand large-scale outdoor point clouds, their range image repre…