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Other ORP type . 2025
License: CC BY
Data sources: Datacite
ZENODO
Other ORP type . 2025
License: CC BY
Data sources: Datacite
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Multi-Object Tracking for Collision Avoidance Using Multiple Cameras in Open RAN Networks

appsOther research productkeyboard_double_arrow_right Other ORP type 01 Jan 2025Publisher:IEEE
Authors: Serra, J; Aguilar, A; Abu-Helalah, E; Parada, R; Dini, P;

doi: 10.5281/zenodo.18859563 , 10.5281/zenodo.18859564

Multi-Object Tracking for Collision Avoidance Using Multiple Cameras in Open RAN Networks

Abstract

This work has been funded by the "Ministerio de Asuntos Economicos y Transformacion Digital" and the European Union-NextGenerationEU in the frameworks of the "Plan de Recuperacion, Transformacion y Resiliencia" and of the "Mecanismo de Recuperacion y Resiliencia" under references TSI-063000-2021-18/24/77.

Abstract not available

Keywords

Artificial Intelligence, pervasive computing., tracking, Autonomous Vehicles, Open RAN, Edge Intelligence, 6G

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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