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The VESAFE project focuses on enhancing the safety and efficiency of connected and autonomous vehicles by developing advanced vehicle-to-vehicle communication and cooperative perception systems. It aims to address challenges in communication protocols and sensor data integration using innovative deep learning technique…
Connected and autonomous vehicles (CAV) holds great potentials for road safety and efficiency, but two major barriers need to be removed before its potentials can be fully unleashed: significantly enhanced vehicle to vehicle (eV2V) services with millimetre wave (mmWave) communications and reliable cooperative perception with autonomous vehicles (AV) sensors.
However, the directional connectivity of mmWave presents new challenges for the whole protocol stack of V2V networks, while reliable cooper…
UNIVERSITY OF ESSEX
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