Autonomous Driving and Intelligent Transport
The Autonomous Driving and Intelligent Transport group develops state-of-the-art technologies to realise the potential offered by intelligent, connected and highly automated vehicles and transport systems.
Academics and researchers have expertise in many areas including autonomous vehicle perception and control systems, connected vehicle communications, smart city integration, ethical vehicles and transport strategy - enabling us to advise, research and consult on all aspects of the vehicles of the future.
The group is funded by Horizon 2020, and is proud to support OBU’s award-winning autonomous racing team, OBR Autonomous.
The group works closely with local partners and stakeholders, and advises on the Future of Mobility in Oxfordshire with regular interaction with OxLEP. Our research develops technological advances which will significantly impact road safety, and is active in working with SMEs and larger enterprises to implement technology developed at OBU in road-going vehicles. The group has advised on the development of the legal framework for the adoption of Autonomous Vehicles on the UK’s road network.
The OBR Autonomous project seamlessly blends research with teaching, graduating world-class students with the experience required to be the next generation of autonomous vehicle engineers and software developers.
|Gokhan Budan||Connected and Automated Vehicle Enabled Traffic Intersection Control with Reinforcement Learning||Professor Denise Morrey, Professor Khaled Hayatleh, Dr Peter Ball||2021|
|Safras Iqbal||Investigations of novel techniques to mitigate against cyber security attacks on autonomous vehicles; Cyber threats to Connected & Autonomous Vehicles||Dr Muhammad Hilmi Kamarudin, Dr Peter Ball||
|Mr Izzedin Teeti||Predictive Algorithms for Advanced Autonomous Vehicle Perception||Dr Andrew Bradley, Professor Fabio Cuzzolin||
|Project title and description||Investigator(s)||Funder(s)||Dates|
Although artificial intelligence (AI) has improved remarkably over the last years, its inability to deal with fundamental uncertainty severely limits its application. This proposal re-imagines AI with a proper treatment of the uncertainty stemming from our forcibly partial knowledge of the world. Epistemic AI’s overall objective is to create a new paradigm for a next-generation artificial intelligence providing worst-case guarantees on its predictions thanks to a proper modelling of real-world uncertainties.
|Professor Fabio Cuzzolin||Horizon 2020||
From: March 2021
Until: February 2025