10 citations · 28 across the 10 of their papers we have counts for
14 papers
MmWave Mapping and SLAM for 5G and Beyond
Yu Ge, Ossi Kaltiokallio, Hyowon Kim +5
Device localization and radar-like mapping are at the heart of integrated sensing and communication, enabling not only new services and applications, but can also improve communica…
PMBM-based SLAM Filters in 5G mmWave Vehicular Networks
Hyowon Kim, Karl Granström, Lennart Svensson +2
Radio-based vehicular simultaneous localization and mapping (SLAM) aims to localize vehicles while mapping the landmarks in the environment. We propose a sequence of three Poisson…
A Computationally Efficient EK-PMBM Filter for Bistatic mmWave Radio SLAM
Yu Ge, Ossi Kaltiokallio, Hyowon Kim +6
Millimeter wave (mmWave) signals are useful for simultaneous localization and mapping (SLAM), due to their inherent geometric connection to the propagation environment and the prop…
Personalized Federated Learning over non-IID Data for Indoor Localization
Peng Wu, Tales Imbiriba, Junha Park +2
Localization and tracking of objects using data-driven methods is a popular topic due to the complexity in characterizing the physics of wireless channel propagation models. In the…
Atomic Norm Minimization-based Low-Overhead Channel Estimation for RIS-aided MIMO Systems
Hyeonjin Chung, Sunwoo Kim
Large beam training overhead has been considered as one of main issues in the channel estimation for reconfigurable intelligent surface (RIS)-aided systems. In this paper, we propo…
Cooperative mmWave PHD-SLAM with Moving Scatterers
Hyowon Kim, Jaebok Lee, Yu Ge +3
Using the multiple-model (MM) probability hypothesis density (PHD) filter, millimeter wave (mmWave) radio simultaneous localization and mapping (SLAM) in vehicular scenarios is sus…