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.
Author
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,
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
Transport
Subject Categories
Telecommunications
Signal Processing
Computer Science
DOI
10.1109/ACSSC.2018.8645553