This paper reviews recent progress of active millimeter wave (mmW) imaging techniques for
personnel security screening. With the ability to penetrate clothing and the promised …

Radars and lidars are two primary sensor modalities complementing optical cameras in
active safety and autonomous driving applications. Radars and lidars operate at …

In this paper, we present a novel multiclass-target classification method for mmWave
frequency modulated continuous wave (FMCW) radar operating in the frequency range of 77 …

This paper presents a measurement setup, an extraction algorithm, and the results from
material characterization measurements in the millimeter-wave (mm-wave) regime using …

The maintenance of wind turbines is of growing importance considering the transition to
renewable energy. This paper presents a multi-robot-approach for automated wind turbine …

In this article, we present a novel machine learning based angle estimation and field of view
(FoV) enhancement techniques for mmWave FMCW radars operating in the frequency range …

Lidars and cameras are the sensors most commonly used for Simultaneous Localization
And Mapping (SLAM). However, they are not effective in certain scenarios, eg when fire and …

Radar SLAM has attracted wide attention due to its all-day and all-weather working
characteristics in the last decade. The existing radar SLAM systems mainly adopt …

Point cloud local feature extraction places an important part of point cloud deep learning
neural networks. Accurate extraction of point cloud features is still a challenge for deep …

In this paper a novel method for calibration of multiple-input multiple-output (MIMO), fully
polarimetric near field radar systems is presented. The developed approach allows for the …