20 citations · 67 across the 9 of their papers we have counts for
9 papers
Redefining Radar Segmentation: Simultaneous Static-Moving Segmentation and Ego-Motion Estimation using Radar Point Clouds
Simin Zhu, Satish Ravindran, Alexander Yarovoy +1
Conventional radar segmentation research has typically focused on learning category labels for different moving objects. Although fundamental differences between radar and optical…
Robust Radar Mounting Angle Estimation in Operational Driving Conditions
Simin Zhu, Satish Ravindran, Lihui Chen +2
The robust estimation of the mounting angle for millimeter-wave automotive radars installed on moving vehicles is investigated. We propose a novel signal processing pipeline that c…
Grouped Target Tracking and Seamless People Counting with a 24 GHz MIMO FMCW
Dingyang Wang, Sen Yuan, Alexander Yarovoy +1
The problem of radar-based tracking of groups of people moving together and counting their numbers in indoor environments is considered here. A novel processing pipeline to track g…
A Deep Automotive Radar Detector using the RaDelft Dataset
Ignacio Roldan, Andras Palffy, Julian F. P. Kooij +3
The detection of multiple extended targets in complex environments using high-resolution automotive radar is considered. A data-driven approach is proposed where unlabeled synchron…
Analysis of Processing Pipelines for Indoor Human Tracking using FMCW radar
Dingyang Wang, Francesco Fioranelli, Alexander Yarovoy
In this paper, the problem of formulating effective processing pipelines for indoor human tracking is investigated, with the usage of a Multiple Input Multiple Output (MIMO) Freque…
See Further Than CFAR: a Data-Driven Radar Detector Trained by Lidar
Ignacio Roldan, Andras Palffy, Julian F. P. Kooij +3
In this paper, we address the limitations of traditional constant false alarm rate (CFAR) target detectors in automotive radars, particularly in complex urban environments with mul…
3D high-resolution imaging algorithm using 1D MIMO array for autonomous driving application
Sen Yuan, Francesco Fioranelli, Alexander Yarovoy
The problem of 3D high-resolution imaging in automotive multiple-input multiple-output (MIMO) side-looking radar using a 1D array is considered. The concept of motion-enhanced snap…
Self-Supervised Learning for Enhancing Angular Resolution in Automotive MIMO Radars
Ignacio Roldan, Francesco Fioranelli, Alexander Yarovoy
A novel framework to enhance the angular resolution of automotive radars is proposed. An approach to enlarge the antenna aperture using artificial neural networks is developed usin…
Roadmap on Signal Processing for Next Generation Measurement Systems
D. K. Iakovidis, M. Ooi, Y. C. Kuang +31
Signal processing is a fundamental component of almost any sensor-enabled system, with a wide range of applications across different scientific disciplines. Time series data, image…