vehicle-to-everything
PulseAugur coverage of vehicle-to-everything — every cluster mentioning vehicle-to-everything across labs, papers, and developer communities, ranked by signal.
3 day(s) with sentiment data
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DinoLink framework slashes V2X perception bandwidth needs
Researchers have introduced DinoLink, a novel framework designed to compress representation data for Vehicle-to-Everything (V2X) perception systems operating under strict bandwidth limitations. This approach replaces th…
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New CABLE framework boosts LMM efficiency for V2X systems
Researchers have developed CABLE, a novel framework designed to enhance the efficiency of large multimodal models (LMMs) in vehicle-to-everything (V2X) systems. This system reduces communication overhead and cloud-side …
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Survey details deep multi-task learning for autonomous vehicles
This paper provides a comprehensive review of deep multi-task learning (MTL) techniques applied to connected autonomous vehicles (CAVs). It explores how MTL can enable a single model to handle diverse tasks like percept…
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Hyper-V2X framework estimates driving perception uncertainty
Researchers have developed Hyper-V2X, a novel framework utilizing hypernetworks to estimate both epistemic and aleatoric uncertainties in cooperative semantic segmentation for autonomous driving. This approach condition…
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New V2V protocol enhances drone coordination in dense airspace
Researchers have developed a new communication protocol for unmanned aircraft systems (UAS) to improve tactical coordination and separation in dense, low-altitude airspace. This intent-first vehicle-to-vehicle (V2V) sys…
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Camera-primed AI system VIBE improves mmWave beam management for vehicles
Researchers have developed a new system called VIsion-based BEamforming (VIBE) to improve real-time beam management for millimeter-wave (mmWave) vehicular connectivity. VIBE combines machine learning, model-based reason…
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AFFormer enhances V2X cooperative perception with adaptive feature fusion
Researchers have developed AFFormer, a novel Transformer-based framework designed to improve the robustness of cooperative perception systems for autonomous vehicles under impaired communication conditions. This system …
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Researchers develop noise-aware training for robust 3D object detection using V2X data
Researchers have developed a new method for integrating vehicle-to-everything (V2X) communication data into 3D object detection systems for autonomous driving. This approach aims to overcome the limitations of onboard s…
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AI enhances transport security as IoT data traffic explosion looms
A new research paper explores the use of machine learning models for intrusion detection in intelligent transport systems. The study proposes a federated hybrid intrusion detection framework that utilizes random forests…