With the rise of autonomous cars in recent years, our team responded in the only way we know – with curiosity, enthusiasm, and dedication. Thus we founded the AI team which seeks to give students an opportunity to get into the exciting field of driverless cars, apply their classroom knowledge to a real project, obtain experience in collaborating in a group and of course race the car at Formula Student events around the globe!
The team
In October 2017, EUFS expanded with a brand new project, the Artificial Intelligence (AI) team. We aim to retrofit one of the previous EUFS Class 1 cars into a fully electric self-driving race car and participate in international student competitions as part of Formula Student Driverless. As an intermediate step to that goal, we participated in the IMechE’s FS-AI competition where we created the software for a self-driving car and applied it to a vehicle provided by the competition organisers (the one you see on the pictures here). Thus far, we have won all 3 competitions ran – in 2018, 2019 and 2020.




Sponsor
We are interested in connecting our bright members with industry. If you would like to sponsor us via financial aids or equipment/materials in-kind, please head to the Sponsor Us page!
Join us
If you would like to be part of EUFS you can read more about our subteams and projects below and then you have to head to the Join Us page where you can apply for the team. We are looking forward to having you!
Hardware Integration

– Emergency Braking System
– Steering actuation system
– Traction accumulator structure
– EV drivetrain development
– Integration of new components in the chassis
Powertrain

– High-voltage circuit design
– Battery design
– Motor and battery cooling systems
– Control system for electric powertrain
– Powertrain testing and optimisation
Electronics

– Control circuits for actuators
– Telemetry electronics
– Sensor configuration and interfacing
– Wiring & PCB design
Perception

– Camera object detection
– Lidar object detection
– Machine Learning algorithm development
– Object fusion
Localisation & Mapping

– Sensor fusion and position estimation
– Simultenious Localisation and Mapping (SLAM) algorithms
– Data visualisation and analysis frameworks
– Vehicle dynamics modelling
Planning & Control

– Numerical optimisation
– Optimal control
– Vehicle dynamics and system identification
Software Infrastructure

– Devops workflow development
– Environment and deployment structures
– Simulation development
– Data storage and analysis