In particular, the fellow will lead the Oxford Brookes Racing - Autonomous team, strong of around 60 undergraduate students structured��into 5 divisions, in its attempt to reach the top spot among UK universities by 2022.

In 2019 our team came 3rd place overall in the first UK edition of the IMEC-sponsored Formula Student �����AI��competition:

https://www.imeche.org/events/formula-student/team-information/fs-ai����

The project will focus in��particular on situation awareness, and allowing autonomous cars to understand and predict the behaviour of other agents sharing the road with them.

A new dataset in Road Event and Activity Detection (RoAD), the first in the world of its kind, is in the process of being released as a Challenge to major robotics (ICRA,��IROS) and computer vision conferences (CVPR, ICCV)
The��Fellow��will work jointly with the Visual Artificial Intelligence, Cognitive Robotics and��Autonomous��Driving��research��groups. The Visual Artificial Intelligence Laboratory (http://cms.brookes.ac.uk/staff/FabioCuzzolin/) is a thriving unit projected to comprise 25+ members in 2020, which has established itself as one of the top��research��groups in deep learning for action detection, conducting work at the crossroad of AI and neuroscience.

The Engineering section has a strong reputation in motorsports and engagement with F1 teams, as demonstrated by Oxford Brookes Racing having been crowned Class 1 Runner Up in the 2018 Formula Student competition. The three groups can provide equipment including a network of GPU servers for a total of around 30 cards, a significant number of humanoid robots (NAO, Baxter, Robothespian) as well as��autonomous��driving��equipment and software.

The School has links and collaborates with world-class innovative companies and start-ups in the autonomous driving scene, including Oxbotica, Roborace and Streetdrone.