3D Feature Points Detection on Sparse and Non-Uniform Pointcloud for SLAM

Published in International Conference on Advanced Robotics (ICAR), Hong Kong, China, 2017

This paper presents a method for detecting 3D feature points on sparse and non-uniform point clouds, enabling robust feature-based SLAM.

Recommended citation: P. Siritanawan, D. Moratuwage, D. Wang (2017). "3D feature points detection on sparse and non-uniform pointcloud for SLAM." ICAR, Hong Kong, China.