Fusion or Confusion? Potential and Challenges in Fusion of Onboard Sensors and V2X Data in Cooperative Perception

2026-07-08T07:23:52Z1a8ea49db28f3cb9e63281602682011ce1297ed7c49634be04c6f4c997af0826
6GHARQ latencyIPv6 securityISACMoE communicationNR-V2XUAV-assisted networksV2Xagentic AIattacker detectionbeamforming attacksconnected automated vehiclescooperative perceptiondecentralized FLfederated learningghost objectsnetwork automationnetwork measurementquantum internetresource allocationsensor fusion

What happened

This collection of recent networking and ML systems papers surfaces several security- and safety-relevant findings. Key risks include cooperative perception fusion for CAVs: fusing onboard sensors with V2X can improve coverage but produces false positives (ghost objects) even when V2X is accurate, creating direct safety hazards and motivating robust fusion and validation methods (relevant to ETSI TS 103 324). Wireless/6G concerns include attacker models that manipulate beamforming in ISAC to mislead transmitters (game-theoretic + RL detection proposed), a novel decentralized NR‑V2X resource‑s­

Why it matters

A reviewed impact interpretation has not been published for this record.

Evidence and limitations

Source ID
arxiv_cs_ni
Record identifier
1a8ea49db28f3cb9e63281602682011ce1297ed7c49634be04c6f4c997af0826
Enrichment time
2026-07-08T07:23:52Z
AI-assisted enrichment
Yes

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