University of Oulu

M. Maiouak and T. Taleb, "Dynamic Maps for Automated Driving and UAV Geofencing," in IEEE Wireless Communications, vol. 26, no. 4, pp. 54-59, August 2019, doi: 10.1109/MWC.2019.1800544

Dynamic maps for automated driving and UAV geofencing

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Author: Maiouak, Mariem1; Taleb, Tarik1,2,3
Organizations: 1Aalto University
2Sejong University
3University of Oulu
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 2.9 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2020060540794
Language: English
Published: Institute of Electrical and Electronics Engineers, 2019
Publish Date: 2020-06-05
Description:

Abstract

The past few years have witnessed a remarkable rise in interest in driver-less cars; and naturally, in parallel, the demand for an accurate and reliable object localization and mapping system is higher than ever. Such a system would have to provide its subscribers with precise information within close range. There have been many previous research works that have explored the different possible approaches to implement such a highly dynamic mapping system in an intelligent transportation system setting, but few have discussed its applicability toward enabling other 5G verticals and services. In this article we start by describing the concept of dynamic maps. We then introduce the approach we took when creating a spatio-temporal dynamic maps system by presenting its architecture and different components. After that, we propose different scenarios where this fairly new and modern technology can be adapted to serve other 5G services, in particular, that of UAV geofencing, and finally, we test the object detection module and discuss the results.

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Series: IEEE wireless communications
ISSN: 1536-1284
ISSN-E: 1558-0687
ISSN-L: 1536-1284
Volume: 26
Issue: 4
Pages: 54 - 59
DOI: 10.1109/MWC.2019.1800544
OADOI: https://oadoi.org/10.1109/MWC.2019.1800544
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
Subjects:
Funding: This work was partially supported by the European Union’s Horizon 2020 Research and Innovation Programme under the 5G!Drones project (Grant No. 857031) and the EU/KR PriMO-5G project (Grant No. 815191). It was also supported in part by the Academy of Finland 6Genesis project (Grant No. 318927).
EU Grant Number: (857031) 5G!Drones - Unmanned Aerial Vehicle Vertical Applications’ Trials Leveraging Advanced 5G Facilities
Academy of Finland Grant Number: 318927
Detailed Information: 318927 (Academy of Finland Funding decision)
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