As part of the Lange Nacht der Forschung, we could demonstrate our recent research in the field of autonomous racing.
This year, Scuderia Segfault secured a top placement at the 15th F1TENTH Autonomous Grand Prix, held from May 13th to 17th, as part of IEEE International Conference on Robotics and Automation (ICRA 2024) in Yokohama, Japan.
Autonomous racing cars, a quintessential example of cyber-physical systems, were presented at this year's Beginners’ Trail.
Team Scuderia Segfault strikes again – succeeding at the F1TENTH Autonomous Grand Prix for the fourth time in a row.
Showing current research in the field of autonomous driving to about 10,000 interested visitors.
At the autonomous racing cars final race 2022, our students’ skills were put to the test.
The race was close, but our team held its own against famous competitors in Philadelphia.
The 9th F1TENTH Grand Prix of 1:10-scale autonomous racing cars took place in Prague. The TU Wien team won this international competition.
Artificial intelligence was the key to the F1/TENTH Autonomous Grand Prix. The team "TU fast TU Furious" from the TU Wien took first place.
Scuderia Segfault is TU Wien’s team for autonomous F1TENTH racing at the Cyber-Physical Systems research unit. Explore our website to learn more about teaching in the field of autonomous driving, our research and F1TENTH racing!
The F1TENTH Program and Foundation promotes science, technology, engineering and mathematics (STEM) education.
This is done by providing teaching and training materials for university courses on robotics, self-driving vehicles and on the foundations of autonomous systems. It organizes community events such as international autonomous races. It further organizes education events such as workshops, tutorials, seminars and panels on building safe autonomous vehicles. The software and hardware designs are shared as open-source.
For more information on F1TENTH see: https://f1tenth.org/
In 2020, autonomous racing was introduced at TU Wien by Prof. Radu Grosu (Head of Research Division Cyber-Physical System) with the new lecture 191.119 Autonomous Racing Cars.
For more information on teaching at TU Wien see: F1TENTH Teaching.
Students of this class subsequently took part in several competitions. Our team was not only able to win the first Virtual Autonomous Racing Grand in 2020, but also score podium placements in the following years. Besides winning and reaching top positions, the exchange with international teams from different universities is a great experience. Discussions about strategies and open research directions are very fruitful and inspiring.
For more information on racing see: F1TENTH Racing.
The F1TENTH platform is well known in the research community and therefore provides a viable test-bed for a range of research projects in the field of autonomous driving.
For more information on our research topics see: F1TENTH Research.
