Graduate School and Research Center in Digital Sciences

3D city map reconstruction from UAV-based radio measurements

Esrafilian, Omid; Gesbert, David

GLOBECOM 2017, IEEE Global Communications Conference, December 4-8, 2017, Singapore, Singapore

This paper considers the problem of 3D city map reconstruction. The key novelty here lies in the sole exploitation of UAV-bound radio measurements as a way to recover the map data, i.e. no image of the city is taken or processed. The proposed approach relies on the unique ability for a UAV- to-ground communication system to detect and classify line-of-sight (LoS) vs. non line-of-sight (NLoS) channels towards ground users using machine learning tools. Once classification is carried out, the LoS vs. NLoS data is fed as input to a building position and height reconstruction algorithm. The map reconstruction quality is analyzed as a function of user density and UAV altitude, revealing the notion of an optimal height for the UAV which is predicted using an analytical model.

Document Doi Bibtex

Title:3D city map reconstruction from UAV-based radio measurements
Type:Conference
Language:English
City:Singapore
Country:SINGAPORE
Date:
Department:Communication systems
Eurecom ref:5500
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Bibtex: @inproceedings{EURECOM+5500, doi = {http://dx.doi.org/10.1109/GLOCOM.2017.8254657}, year = {2017}, title = {3{D} city map reconstruction from {UAV}-based radio measurements}, author = {{E}srafilian, {O}mid and {G}esbert, {D}avid}, booktitle = {{GLOBECOM} 2017, {IEEE} {G}lobal {C}ommunications {C}onference, {D}ecember 4-8, 2017, {S}ingapore, {S}ingapore}, address = {{S}ingapore, {SINGAPORE}}, month = {12}, url = {http://www.eurecom.fr/publication/5500} }
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