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Design insights and comparative evaluation of a hardware-based cooperative perception architecture for lane change prediction.

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Title: Design insights and comparative evaluation of a hardware-based cooperative perception architecture for lane change prediction.
Authors: Manzour, Mohamed1, ahmed.manzour@uah.es, Elias, Catherine M.2, catherine.elias@ieee.org, Shehata, Omar M.3, omar.mohamad@guc.edu.eg, Izquierdo, Rubén1, ruben.izquierdo@uah.es, Sotelo, Miguel Ángel1, miguel.sotelo@uah.es
Source: Robotics & Autonomous Systems; May2026, Vol. 199, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 192047832
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=192047832
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.robot.2026.105389
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      – Code: eng
        Text: English
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        PageCount: 1
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      – TitleFull: Design insights and comparative evaluation of a hardware-based cooperative perception architecture for lane change prediction.
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            NameFull: Manzour, Mohamed
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            NameFull: Elias, Catherine M.
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            NameFull: Shehata, Omar M.
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            NameFull: Izquierdo, Rubén
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            NameFull: Sotelo, Miguel Ángel
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            – D: 01
              M: 05
              Text: May2026
              Type: published
              Y: 2026
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              Value: 09218890
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              Value: 199
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            – TitleFull: Robotics & Autonomous Systems
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