activity
20212023
most citedStructure-Aware Language Model Pretraining Improves Dense Retrieval on Structured Data

2 citations · 2 across the 3 of their papers we have counts for

collaborators
Showing eess.SPShow all

10 papers · 1 filter

eess.SP2024

Target Handover in Distributed Integrated Sensing and Communication

Yu Ge, Ossi Kaltiokallio, Hui Chen +7

The concept of 6G distributed integrated sensing and communications (DISAC) builds upon the functionality of integrated sensing and communications (ISAC) by integrating distributed…

eess.SP2024

Batch SLAM with PMBM Data Association Sampling and Graph-Based Optimization

Yu Ge, Ossi Kaltiokallio, Yuxuan Xia +6

Simultaneous localization and mapping (SLAM) methods need to both solve the data association (DA) problem and the joint estimation of the sensor trajectory and the map, conditioned…

eess.SP2024

V2X Sidelink Positioning in FR1: From Ray-Tracing and Channel Estimation to Bayesian Tracking

Yu Ge, Maximilian Stark, Musa Furkan Keskin +5

Sidelink positioning research predominantly focuses on the snapshot positioning problem, often within the mmWave band. Only a limited number of studies have delved into vehicle-to-…

eess.SP2024

Robust Snapshot Radio SLAM

Ossi Kaltiokallio, Elizaveta Rastorgueva-Foi, Jukka Talvitie +3

The intrinsic geometric connections between millimeter-wave (mmWave) signals and the propagation environment can be leveraged for simultaneous localization and mapping (SLAM) in 5G…

eess.SP2024

ELAA Near-Field Localization and Sensing with Partial Blockage Detection

Hui Chen, Pinjun Zheng, Yu Ge +4

High-frequency communication systems bring extremely large aperture arrays (ELAA) and large bandwidths, integrating localization and (bi-static) sensing functions without extra inf…

eess.SP2023

V2X Sidelink Positioning in FR1: Scenarios, Algorithms, and Performance Evaluation

Yu Ge, Maximilian Stark, Musa Furkan Keskin +3

In this paper, we investigate sub-6 GHz V2X sidelink positioning scenarios in 5G vehicular networks through a comprehensive end-to-end methodology encompassing ray-tracing-based ch…