Scattering centers to point clouds: A review of mmWave radars for non-radar-engineers

HD Mafukidze, AK Mishra, J Pidanic… - IEEE Access, 2022 - ieeexplore.ieee.org
Recently, mmWave radars have been gaining popularity, thanks to their low cost, ease of
use and high-resolution sensing. In this paper, we provide a review of the mmWave radar …

Extending reliability of mmwave radar tracking and detection via fusion with camera

R Zhang, S Cao - IEEE Access, 2019 - ieeexplore.ieee.org
In this paper, a new radar-camera fusion system is presented. The fusion system takes into
consideration the error bounds of the two different coordinate systems from the …

Noncontact respiratory measurement for multiple people at arbitrary locations using array radar and respiratory-space clustering

T Koda, T Sakamoto, S Okumura, H Taki - IEEE Access, 2021 - ieeexplore.ieee.org
We developed a noncontact measurement system for monitoring the respiration of multiple
people using millimeter-wave array radar. To separate the radar echoes of multiple people …

Novel robust on-line indoor occupancy counting system using mmWave radar

P Hsu, G Liu, SH Fang, HC Wu, K Yan - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
In this work, a novel robust on-line indoor occupancy counting approach is proposed using
the millimeter-wave (mmWave) frequency-modulated continuous-wave (FMCW) radar. The …

[PDF][PDF] 毫米波雷达目标点云稳健自适应聚类方法

钟晋孝, 晋良念 - 科学技术与工程, 2022 - stae.com.cn
摘要针对毫米波调频连续波多输入多输出(frequency modulated continuous wave multiple-
input multiple-output, FMCW MIMO) 雷达点云目标远疏近密的密度不一问题 …

Millimeter-Wave Radar Target Detection Based on Inter-frame DBSCAN Clustering

S Xie, C Wang, X Yang, Y Wan… - 2022 IEEE 22nd …, 2022 - ieeexplore.ieee.org
High-resolution millimeter wave radar sensor plays an important role in the process of
detecting and classifying targets in complex environments. To process the radar data …

Indoor radar point cloud ghost elimination method based on point cloud cluster occlusion

YF Lv, LF Shi, W Yin, Y Shi… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Due to the large number of targets and the close detection distance in indoor environments,
a significant amount of ghost target points often appears in the imaging results of millimeter …

Multi-Dimensional DBSCAN Clustering Approach for Millimeter Wave Radar Point Cloud Data

H Li, C Fu, G Xi, Q Wang, H Peng - … International Conference on …, 2024 - ieeexplore.ieee.org
Addressing the poor resolution challenge of traditional Density-Based Spatial Clustering of
Applications with Noise (DBSCAN) algorithms in differentiating objects in close proximity …

Research on adaptive target tracking method based on millimeter wave radar

L Zhu, X Wei, Q Zheng, Y Wang - Proceedings of the ACM Turing Award …, 2021 - dl.acm.org
This paper introduces a target-tracking algorithm based on the millimeter-wave radar, to
detect the number and positions of the indoor individuals. The proposed algorithm combines …

Adaptive Point Cloud Clustering Algorithm for Practical Roadside MmWave Radar Systems

L Zhang, J Zhang, H Shi, L Gao, X Hu… - 2024 IEEE 99th …, 2024 - ieeexplore.ieee.org
Millimeter-Wave radar has been widely applied in the field of autonomous driving due to an
excellent performance under complex weather conditions. However, in practical roadside …