3D Point Cloud Generation Using mmWave Radar Sensors

We present an evaluation of 3D point cloud generation using compact mmWave radar sensors with different antenna configurations and compare them for the task of human presence and fall detection. Unlike optical systems such as LiDAR or cameras, radar enables privacy-preserving, robust and temperature-independent object detection under challenging environmental conditions such as darkness, steam, or dust. This work focuses on the FMCW radar sensor BGT60TR13C (Infineon) and compares it to the IWR6843 (Texas Instruments) to assess the impact of antenna configuration on point cloud accuracy and resolution. Results from 19 controlled posture scenarios show that the BGT60TR13C produces sparse short-range point clouds, whereas the IWR6843 provides higher density and angular resolution. These findings underscore the strong impact of antenna design on point cloud performance.