#v2x-communication News & Analysis

3 articles tagged with #v2x-communication. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

3 articles

AIBullisharXiv – CS AI · Jun 237/10

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OmniV2X: A Generative Foundation Planner for Efficient End-to-End Cooperative Driving

OmniV2X is a generative foundation model that enables vehicle-to-everything (V2X) cooperative driving by processing multi-modal, multi-agent data without requiring dense 3D perception or shared representations. The model achieves state-of-the-art performance on the DAIR-V2X-Seq dataset while using 90% less fine-tuning data and consuming less than 1% of typical communication bandwidth.

AINeutralarXiv – CS AI · May 117/10

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MORPH-U: Multi-Objective Resilient Motion Planning for V2X-Enabled Autonomous Driving in High-Uncertainty Environments via Simulation

Researchers present MORPH-U, a simulation-based autonomous driving system that integrates Vehicle-to-Everything (V2X) communication with LiDAR/radar/camera sensors while implementing Byzantine-inspired safeguards against forged or delayed messages. The framework uses multi-objective optimization to balance safety, comfort, and responsiveness in high-uncertainty environments, demonstrating resilience against coordinated false-message attacks.

AINeutralarXiv – CS AI · May 285/10

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Quantum Machine Learning-based 6G edge Network: Enabling Adaptive Communication and Model Aggregation

Researchers propose a quantum machine learning framework for 6G vehicle-to-everything (V2X) communication that combines quantum neural networks, federated learning, and semantic communication to improve efficiency and robustness in autonomous transportation systems. The framework addresses limitations of classical ML in handling high-dimensional data, heterogeneous networks, and dynamic channel conditions.