3D Point Cloud Generation Using mmWave Radar Sensors

Elias Wollitzer; Martina Zeinzinger; Michael Benjamin Kargl; Dan Hrubý; Florian Eibensteiner; Martin Černý; Josef Langer

3D Point Cloud Generation Using mmWave Radar Sensors

Elias Wollitzer
, Martina Zeinzinger
, Michael Benjamin Kargl
, Dan Hrubý
, Florian Eibensteiner
, Martin Černý
, Josef Langer

Research Center Hagenberg

Research output: Contribution to conference › Paper › peer-review

Abstract

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.

Original language	English
Publication status	Accepted/In press - 2026
Event	20th International Conference on Computer Aided Systems Theory - Museo Elder de la Ciencia y la Tecnología, Las Palmas de Gran Canaria, Spain Duration: 23 Feb 2026 → 27 Feb 2026 https://eurocast2026.fulp.es/

Conference

Conference	20th International Conference on Computer Aided Systems Theory
Abbreviated title	Eurocast 2026
Country/Territory	Spain
City	Las Palmas de Gran Canaria
Period	23.02.2026 → 27.02.2026
Internet address	https://eurocast2026.fulp.es/

Cite this

@conference{02c8a425cb7944369fa18033c7370f52,

title = "3D Point Cloud Generation Using mmWave Radar Sensors",

abstract = "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. ",

author = "Elias Wollitzer and Martina Zeinzinger and Kargl, \{Michael Benjamin\} and Dan Hrub{\'y} and Florian Eibensteiner and Martin {\v C}ern{\'y} and Josef Langer",

year = "2026",

language = "English",

note = "20th International Conference on Computer Aided Systems Theory, Eurocast 2026 ; Conference date: 23-02-2026 Through 27-02-2026",

url = "https://eurocast2026.fulp.es/",

}

TY - CONF

T1 - 3D Point Cloud Generation Using mmWave Radar Sensors

AU - Wollitzer, Elias

AU - Zeinzinger, Martina

AU - Kargl, Michael Benjamin

AU - Hrubý, Dan

AU - Eibensteiner, Florian

AU - Černý, Martin

AU - Langer, Josef

PY - 2026

Y1 - 2026

N2 - 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.

AB - 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.

M3 - Paper

T2 - 20th International Conference on Computer Aided Systems Theory

Y2 - 23 February 2026 through 27 February 2026

ER -

3D Point Cloud Generation Using mmWave Radar Sensors

Abstract

Conference

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