Robust and Adaptive Radar Elliptical Density-Based Spatial Clustering and labeling for mmWave Radar Point Cloud Data
R. Zhang, S. Cao
53rd Asilomar Conference on Signals, Systems and Computers, 2019 , pp. 919-924
Abstract
A robust and adaptive radar point cloud clustering algorithm, named radar elliptical density-based spatial clustering of applications with noise (REDBSCAN). The proposed algorithm shows better clustering results for adapting to the arbitrary shape of targets as well as any number of targets comparing with traditional clustering methods, implemented using state-of-art mmWave radar sensor with MIMO antennas.
Citation
R. Zhang, S. Cao. "Robust and Adaptive Radar Elliptical Density-Based Spatial Clustering and labeling for mmWave Radar Point Cloud Data." 53rd Asilomar Conference on Signals, Systems and Computers: 919-924, 2019. DOI: 10.1109/IEEECONF44664.2019.9048869
Quick Links
Details
- Year
- 2019
- Published In
- 53rd Asilomar Conference on Signals, Systems and Computers
- Pages
- 919-924
- DOI
- 10.1109/IEEECONF44664.2019.9048869