A Survey of mmWave Radar-Based Sensing in Autonomous Vehicles, Smart Homes and Industry

H Kong, C Huang, J Yu, X Shen - … Communications Surveys & …, 2024 - ieeexplore.ieee.org
Sensing technology plays a crucial role in bridging the physical and digital worlds. By
transforming a multitude of physical phenomena into digital data, it significantly enhances …

Radar fields: Frequency-space neural scene representations for fmcw radar

D Borts, E Liang, T Broedermann… - ACM SIGGRAPH 2024 …, 2024 - dl.acm.org
Neural fields have been broadly investigated as scene representations for the reproduction
and novel generation of diverse outdoor scenes, including those autonomous vehicles and …

Digit recognition in air-writing using single millimeter-wave band radar system

H Lee, Y Lee, H Choi, S Lee - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
In this paper, we propose an air-writing method in a millimeter-wave band radar system. In
particular, a method for removing undesired detection results due to a hand movement is …

Geo-referenced mapping through an anti-collision radar aboard an unmanned aerial system

L Miccinesi, L Bigazzi, T Consumi, M Pieraccini, A Beni… - Drones, 2022 - mdpi.com
Unmanned aerial systems (UASs) have enormous potential in many fields of application,
especially when used in combination with autonomous guidance. An open challenge for …

Simultaneous target classification and moving direction estimation in millimeter-wave radar system

JC Kim, HG Jeong, S Lee - Sensors, 2021 - mdpi.com
In this study, we propose a method to identify the type of target and simultaneously
determine its moving direction in a millimeter-wave radar system. First, using a frequency …

Signal expansion method in indoor FMCW radar systems for improving range resolution

S Baek, Y Jung, S Lee - Sensors, 2021 - mdpi.com
As various unmanned autonomous driving technologies such as autonomous vehicles and
autonomous driving drones are being developed, research on FMCW radar, a sensor …

Radar sensor-based ego-motion estimation and indoor environment mapping

SY Kwon, S Kwak, J Kim, S Lee - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
In this article, we propose a method for performing the simultaneous localization and
mapping (SLAM) in indoor environments using only multiple-input and multiple-output …

Radar-based ego-motion estimation of autonomous robot for simultaneous localization and mapping

S Lim, J Jung, SC Kim, S Lee - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
To perform radar-based simultaneous localization and mapping, information on a robot's
ego-motion such as its rotation angle and velocity should be considered along with radar …

Ghost target suppression using deep neural network in radar-based indoor environment mapping

T Jeong, S Lee - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
In this paper, we propose a method to remove ghost targets that occur in radar-based indoor
environment mapping. In this work, the ghost target refers to an object that does not …

[HTML][HTML] Signal Extension Method for Improved Range Resolution of Frequency-Modulated Continuous Wave Radar in Indoor Environments

S Lee, M Kim, Y Jung, S Lee - Applied Sciences, 2024 - mdpi.com
The range resolution of FMCW radar is critical for accurately distinguishing between multiple
objects. Higher range resolution allows for better object separation and more precise …