5G mmWave Vehicular Tracking
Paper in proceeding, 2019

Vehicle positioning based on GPS is limited due to multipath and blockage. 5G mmWave signals can provide an attractive complement, as it is possible to estimate the state of a vehicle (position and heading) from transmissions from a single base station. We propose a Bayesian 5G mmWave tracking filter, which explicitly relies on mapping the radio environment. The filter thus solves a novel type of simultaneous localization and mapping problem, which enables estimating not only the vehicle heading and position, but also its clock bias.


Hyowon Kim

Hanyang University

Henk Wymeersch

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Nil Garcia

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Gonzalo Seco-Granados

Universitat Autonoma de Barcelona (UAB)

Sunwoo Kim

Hanyang University

Conference Record - Asilomar Conference on Signals, Systems and Computers

10586393 (ISSN)

Vol. 2018-October 541-547 8645553

52nd Asilomar Conference on Signals, Systems, and Computers
Pacific Grove, USA,

High precision positioning for cooperative ITS applications

European Commission (EC) (EC/H2020/636537), 2015-01-01 -- 2017-12-31.

COPPLAR CampusShuttle cooperative perception & planning platform

VINNOVA (2015-04849), 2016-01-01 -- 2018-12-31.

Fifth Generation Communication Automotive Research and innovation (5GCAR)

European Commission (EC) (EC/H2020/761510), 2017-06-01 -- 2019-05-31.

Areas of Advance

Information and Communication Technology


Subject Categories


Signal Processing

Computer Science



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4/5/2022 6