Node Location Optimization for Localizing UAVs in Urban Scenarios-Reference-Cited by-同舟云学术

Node Location Optimization for Localizing UAVs in Urban Scenarios

Published:2022-10-12 Issue: Volume: Page:616-625
ISSN:2367-3370
Container-title:Lecture Notes in Networks and Systems
language:
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Author:

Verde Paula^ORCID,Ferrero-Guillén Rubén^ORCID,Alija-Pérez José-Manuel^ORCID,Martínez-Gutiérrez Alberto^ORCID,Díez-González Javier^ORCID,Perez Hilde^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-18050-7_60

Reference33 articles.

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3. Nikolic, J., Burri, M., Rehder, J., Leutenegger, S., Huerzeler, C., Siegwart, R.: A UAV system for inspection of industrial facilities. In: 2013 IEEE Aerospace Conference, pp. 1–8. IEEE (2013)

4. Chiang, W.-C., Li, Y., Shang, J., Urban, T.L.: Impact of drone delivery on sustainability and cost: realizing the UAV potential through vehicle routing optimization. Appl. Energy 242, 1164–1175 (2019)

5. Fernández-Caramés, T.M., Blanco-Novoa, O., Froiz-Míguez, I., Fraga-Lamas, P.: Towards an autonomous industry 4.0 warehouse: a UAV and blockchain-based system for inventory and traceability applications in big data-driven supply chain management. Sensors 19(10), 2394 (2019)

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