Multi-modal fusion sensing: A comprehensive review of millimeter-wave radar and its integration with other modalities

S Wang, L Mei, R Liu, W Jiang, Z Yin… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Millimeter-wave (mmWave) radar, with its high resolution, sensitivity to micro-vibrations, and
adaptability to various environmental conditions, holds immense potential across multi …

Self-calibrating indoor trajectory tracking system using distributed monostatic radars for large scale deployment

Z **e, F Ye - Proceedings of the 9th ACM International Conference …, 2022 - dl.acm.org
24/7 continuous recording of in-home daily trajectories is informative for health status
assessment (eg, monitoring Alzheimer's, dementia based on behavior patterns). Indoor …

Over-the-air calibration of mmW imaging radars using uncorrelated continuous wave signals

S Heining, R Feger, C Wagner… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Magnitude and phase variations of radio-frequency channels in multiple-input multiple-
output imaging radars require an accurate calibration in order to reduce side-lobe levels in …

[HTML][HTML] Targetless Radar–Camera Extrinsic Parameter Calibration Using Track-to-Track Association

X Liu, Z Deng, G Zhang - Sensors, 2025 - mdpi.com
One of the challenges in calibrating millimeter-wave radar and camera lies in the sparse
semantic information of the radar point cloud, making it hard to extract environment features …

ORACLE: Occlusion-resilient and self-calibrating mmWave radar network for people tracking

M Canil, J Pegoraro, A Shastri, P Casari… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
Millimeter-wave (mmWave) radar sensors are emerging as valid alternatives to cameras for
the pervasive contactless monitoring of people in indoor spaces. However, commercial …

LB-R2R-Calib: Accurate and Robust Extrinsic Calibration of Multiple Long Baseline 4D Imaging Radars for V2X

J Zhang, Z Yang, F Zhang, Z Wu, G Peng… - … on Robotics and …, 2024 - ieeexplore.ieee.org
As a new sensor, 4D radar (x, y, z, velocity) has great potential for V2X, due to its 3D point
cloud, direct doppler velocity output, long distance ranging, low-cost, and more importantly …

RadNet: A testbed for mmWave radar networks

E Bashirov, M Canil, M Rossi - … of the 1st International Workshop on …, 2022 - dl.acm.org
Human sensing with millimeter waves (mmWaves) is rapidly gaining momentum. In
particular, mmWave radars are becoming the technology of choice in applications like …

Occlusion-Informed Radar Detection for Millimeter-Wave Indoor Sensing

A Murtada, BSMR Rao, M Ahmadi… - IEEE Open Journal of …, 2024 - ieeexplore.ieee.org
The emergence of Multiple-Input Multiple-Output (MIMO) millimeter-wave (mmWave) radar
sensors has prompted interest in indoor sensing applications, including human detection …

Multiple-person Tracking with mmWave Radar Using Adaptive Clustering and Ghost Removing

T Watanabe, Y Ma, R Huang - 2023 IEEE Smart World …, 2023 - ieeexplore.ieee.org
This paper describes a new system for tracking multiple people indoors using mmWave
radar. The proposed system addresses three main problems: clustering failure, ghost …

Distributed Radar Interval Distance Estimation Based on Deep Neural Network

X Li, P Chen - 2022 14th International Conference on Wireless …, 2022 - ieeexplore.ieee.org
In recent years, millimeter wave (mmWave) radar has played an indispensable role in
several applications. mm Wave radars can measure the distance, speed, and angle of …