Enhanced 5G VEhicle to Vehicle Technologies
for Safe Connected Autonomous Vehicles Applications (VESAFE)
Connected and autonomous vehicles (CAV)
holds great potentials for road safety and efficiency, but two major
challenges need to be tackled 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 ofV2V networks, while reliable cooperative perception requires novel
design of deep learning (DL)
models for object detection and fusion of sensor data from neighbour AVs.
As AVs require extremely high safety and reliability, the above challenges
underpinned by CAV demand a holistic design and tight integration of
connected vehicles (CV)
and AV technologies. This
innovative and multi-disciplinary project VESAFE will tackle
key challenges with complementary expertise and realize the full
potentials of CAV. A novel cross-layer design is adopted for the research
of 5th generation (5G) eV2V schemes with mmWave and reliable cooperative
perception for advanced CAV safety applications: the eV2V schemes are AV
oriented and greatly assisted by the AV cooperative perception, and the
reliable cooperative perception is boosted by the awareness of V2V network
conditions. And this project proposes a novel integrated evaluation of 5G
eV2V and CAV applications to support system design and performance
Fellow will receive intensive technical training in multidisciplinary
fields, from the main host University of Essex,
world leading co-hosts University of Oulu,
and University of Gottingen.
Through cutting-edge research, this project will produce robust eV2V
schemes and reliable cooperative perception solutions, makebreak through
on 5G V2V and CAV safety applications. It will significantly improve the
Fellow's career prospects, strengthen knowledge transfer, boosting
research and innovation (R&I)
capacity and quality, therefore contributing to Europe's competitiveness
and growth in the critical 5G/6G and AV sectors.
Project COSAFE has the following research objectives:
produce AV assisted robust eV2V solution with high data rate mmWave and
NOMA communications, to provide the multiple levels of QoS needed for
the CAV safety applications.
Objective-2: Design eV2V network condition aware
reliable cooperative perception, which is used for safe CAV applications
and exploited in the design of eV2V schemes.
Objective-3: Implement and test the proposed eV2V
and CAV case study with theoretic study and integrated simulation, to
validate and improve the design, understand performance and potential
issues of the eV2V and CAV safety applications.