Localization in Unprecedentedly Crowded Airspace for UAVs and SUAVs-Reference-Cited by-同舟云学术

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Localization in Unprecedentedly Crowded Airspace for UAVs and SUAVs

Published:2022 Issue: Volume:10 Page:65206-65220
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Khelifi Manel¹^ORCID,Butun Ismail²^ORCID

Affiliation:

1. Fortiss GmbH, Research Institute of the Free State of Bavaria associated with Technical University of Munich (TUM), Munich, Germany

2. Department of Computer Science, The School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden

Funder

KTH Royal Institute of Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09791239.pdf?arnumber=9791239

Reference100 articles.

1. Industrial Networks and IIoT: Now and Future Trends

2. Positioning using time-difference of arrival measurements

3. Toward Location-Enabled IoT (LE-IoT): IoT Positioning Techniques, Error Sources, and Error Mitigation

4. SkyRAN

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