Max Verstappen vs. the Future: URE's Autonomous Racing Ambitions

At URE, we are all about pushing boundaries of technology and engineer at the limits. Our primary goal is to design, manufacture and fine-tune innovative race cars that represent the future of motorsports, both electrically and autonomously. Our ultimate goal? To outpace Max Verstappen on the racing circuit with our autonomous driving systems!

Establishment

URE was established two decades ago, and started as a team with six students from the faculty of mechanical engineering who wished to be better prepared for working in industry. The answer to was to found a racing team which could compete at the Formula Student competition. In twenty years, URE has evolved into the largest student team at the TU/e, with over 80 active students from 13 different majors, all dedicated to pursuit the boundaries of engineering. The team has consistently raised the bar by building and racing a total of 17 cars, each proofing our commitment to progress and innovation.

FS-Competition

URE competes in the Formula Student (FS) competition. This is a global student engineering competition held annually, where student teams from around the world build, test and race a formula style racing car. The competition aims to develop enterprising and innovative young engineers and encourage more students to start a career in engineering. However, beyond the speed of the car, teams are evaluated on their design process, problem-solving skills, business planning and project management.

Autonomy

This new class marked the beginning of the development of autonomous systems within URE, and we presented our first autonomous car in the in the 2018/2019 Formula Student season. Since then, URE has been at the forefront of the autonomous vehicle technology in the Formula Student competition by pushing the boundaries of autonomous driving every year since then. Currently, the autonomous system include a LiDAR sensor and camera’s, functioning as the eyes of the system by feeding perception data of the external environment to the brains of the system: the depth perception algorithms, simultaneous localization and mapping (SLAM) and motion planning. The output of the algorithms is then translated to the right signals to the steering wheel motor and throttle, completing the parallel by replacing a driver's hands and feet to operate the car.

Aspiration

URE’s efforts in the development of autonomous vehicle systems not only contribute to its success in Formula Student competitions, but also serve as a platform for future advancements within autonomous mobility technology. The team envisions a future where autonomous vehicles play a significant role in various domains, including motorsports, transportation, logistics and other mobility services.

You can help URE

To tackle this problem, we have launched a fundraising campaign in order to afford a new LiDAR sensor. This means we need your help! Your contribution, no matter the size, will help us push the boundaries of autonomous racing, and allows us to compete not only in the Formula Student 2024 racing season but also future racing seasons.

You can support our team at the following link: https://www.gofundme.com/f/help-ure-secure-the-future-of-racing