INDY AUTONOMOUS CHALLENGE TEAMS

Autonomous Racing Graz (ARG)

Graz University of Technology

We are a team of students and postdocs highly interested and experienced in automotive sensors, software and control with the spirit to make autonomous racing happen. Our vision: “We would like to prove and demonstrate autonomous driving at the edge to build trust and acceptance in such systems,” and “Serious research and fun can go together.”

OFFERING

We can provide a large knowledge of lidar based mapping and localization up to high velocities and accelerations. For our approaches we use only one lidar which is first used for mapping and afterwards for the localization. Based on the created point cloud of a track we have a pipeline to create a track layout which can be used for the calculation of racing lines and to define where a care is allowed to drive. We can as well provide a big knowledge in the integration of different software components together. Since many years we do a lot in the field of robotics, therefore we have a lot of experience in ROS and the open-source autonomous driving stack Autoware and are open to share our knowledge.

NEEDS

We are open to collaborate with other teams. A main field where we do not have a lot of experience is wheel to wheel racing. High-level planning strategies which are required for overtaking or blocking maneuvers are currently not our main research focus. Therefore, we would like to collaborate and bring our knowledge into this field. We think this is one of the most important topic and it is too huge for one university team, especially when the resources are limited. But this is needed to have interesting races. Another topic where we are open is the low-level control of a vehicle or a race car. Until now, our focus was mainly that a car follows dynamically calculated waypoints and a provided low-level controller follows the given trajectory.

Video

team photo

WHITEPAPER

Can’t view the Whitepaper? Click here to download