22ND F1TENTH AUTONOMOUS GRAND Prix

2024 IEEE Conference on Decision and Control(CDC 2024)
Calender December 16th - 19th 2024
Location Allianz MiCo, Milan Convention Centre, Italy

22ND F1TENTH AUTONOMOUS GRAND Prix

F1TENTH Autonomous Racing is a semi-regular competition organized by an international community of researchers, engineers, and autonomous systems enthusiasts. The teams participating in 22nd F1TENTH Grand Prix at CDC 2024 will build a 1:10 scaled autonomous race car according to a given specification and write software for it to fulfill the objectives for the competition: Don’t crash and minimize laptime.

CDC 2024 will host an in-person competition in the form of the 22nd F1tenth Autonomous Grand Prix as well as a virtual benchmark competition in the form of the 2nd F1tenth Sim Racing League. The main focus of the 22nd F1TENTH Autonomous Grand Prix is an in-person competition with physical cars. Each team will bring their own F1TENTH car and write the software for their car. The teams have access to a detailed build manual and can use open-source software that helps them get started with the car. The organizers provide the race setup (rules, submissions, guidelines), the track, and related infrastructure and organize the race itself. For the competition, teams first take part in a qualification session in order to determine seeding. In the qualification session, teams compete in a time trial where they need to demonstrate that they are able to finish laps without colliding with the track bounds at run time. Afterwards, teams compete in a knockout phase in head-to-head racing in an intense battle with their autonomous driving algorithms. Since vehicles and hardware are standardized, teams must develop robust perception, planning, and control algorithms that can deal with the uncertainties of a new track and new competitors. The Grand Prix phase pits competitors against each other on the same track.

The 2nd F1TENTH Sim Racing League is a virtual benchmark competition where teams can participate remotely. The teams will be provided with a simulator environment and a standardized car model. The teams will have to write software for their car to fulfill the objectives for the competition: Don't crash and minimize laptime. The teams will submit their software to the organizers, who will run the software on the simulator and evaluate the performance of the software. The teams will be ranked based on their performance in the simulator. The Sim Racing League is a great opportunity for teams to participate in the competition without the need to build a physical car and travel to the competition. For more information on the 2nd F1TENTH Sim Racing League, please visit the 2nd Sim Racing League website.

Organizers:

Rahul Mangharam
Associate Professor
Department of Electrical and Systems Engineering
University of Pennsylvania
Venkat Krovi
Michelin Chair Professor
Department of Automotive Engineering
Clemson University
Johannes Betz
Assistant Professor
Department of Mobility Systems Engineering
Technical University of Munich
Paolo Burgio
Research Fellow
HiPeRT Lab
Università di Modena and Reggio Emillia
Maria Prandini
Full Professor, Chair of the Automation and Control Engineering Program
Dipartimento di Elettronica Informazione e Bioingegneria
Politecnico di Milano
Martina Maggio
Professor
Department of Computer Science
Saarland University
Ahmad Amine
Ph.D. Candidate
Department of Electrical and Systems Engineering
University of Pennsylvania
Alessio Masola
Ph.D. Candidate
HiPeRT Lab
Università di Modena and Reggio Emillia
Filippo Muzzini
Ph.D. Candidate
HiPeRT Lab
Università di Modena and Reggio Emillia
Federico Gavioli
Ph.D. Candidate
HiPeRT Lab
Università di Modena and Reggio Emillia
Antonio Russo
Ph.D. Candidate
HiPeRT Lab
Università di Modena and Reggio Emillia
Enrico Mannocci
Ph.D. Candidate
HiPeRT Lab
Università di Modena and Reggio Emillia
Chinmay Samak
Ph.D. Candidate
Department of Automotive Engineering
Clemson University - ICAR
Tanmay Samak
Ph.D. Candidate
Department of Automotive Engineering
Clemson University - ICAR