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A Survey and Tutorial of Redundancy Mitigation for Vehicular Cooperative Perception: Standards, Strategies and Open Issues

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arxiv 2501.01200 v2 pith:ATIY7OAZ submitted 2025-01-02 cs.NI

classification cs.NI
keywords mitigationredundancychallengesetsiopenperceptionproposedresearch
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This paper provides an in-depth review and discussion of the state of the art in redundancy mitigation for the vehicular Collective Perception Service (CPS). We focus on the evolutionary differences between the redundancy mitigation rules proposed in 2019 in ETSI TR 103 562 versus the 2023 technical specification ETSI TS 103 324, which uses a Value of Information (VoI) based mitigation approach. We also critically analyse the academic literature that has sought to quantify the communication challenges posed by the CPS and present a unique taxonomy of the redundancy mitigation approaches proposed using three distinct classifications: object inclusion filtering, data format optimisation, and frequency management. Finally, this paper identifies open research challenges that must be adequately investigated to satisfactorily deploy CPS redundancy mitigation measures. Our critical and comprehensive evaluation serves as a point of reference for those undertaking research in this area.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. SComCP: Task-Oriented Semantic Communication for Collaborative Perception

    eess.SP 2025-07 conditional novelty 4.0 of 10

    SComCP combines importance-aware feature selection with a learned JSCC codec to improve collaborative 3D detection over noisy V2V channels, reporting gains at low SNR.

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