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Enhanced 5G Vehicle to Vehicle Technologies for Safe and Reliable Connected Autonomous Vehicles Applications

Project description

New 5G design for driverless cars

Connected and autonomous vehicles (CAVs) represent a promising path towards road safety and efficiency. However, some barriers prevent the deployment of their entire potentiality, such as enhanced vehicle-to-vehicle (eV2V) services with millimetre wave (mmWave) communications and reliable cooperative perception with autonomous vehicles’ (AVs) sensors. The directional connectivity of mmWave shows new challenges for the whole protocol stack of V2V networks, and reliable cooperative perception requires a new design of deep learning models for object detection and fusion of sensor data from neighbour AVs. The EU-funded VESAFE project proposes an innovative cross-layer design to research the 5G eV2V schemes with mmWave and reliable cooperative perception for state-of-the-art CAV safety applications.

Coordinator

UNIVERSITY OF ESSEX
Net EU contribution
€ 224 933,76
Address
Wivenhoe Park
CO4 3SQ Colchester
United Kingdom

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Region
East of England Essex Essex Haven Gateway
Activity type
Higher or Secondary Education Establishments
Other funding
€ 0,00