Our car has a variety of sensors that we have been actively working on to process effectively. For example, we have developed and verified a path planning algorithm in the simulation that uses mathematical optimization to calculate a fast route around the track for the autocross event. We use the simulation to design and develop new algorithms and validate the performance of existing ones. Both our simulation of the vehicle and its on-board software are written in C++ and run on ROS Noetic. Currently our team has a fully functional simulation of the AV, including its vehicle dynamics and an emulation of the perception and actuation pipelines of the car. Our team's goal for 2022 is to lay the technical foundations for our autonomous vehicle, providing the groundwork for future developments involving more advanced perception and path planning. Since 2020, we have been making great progress in the fields of simulation, actuation and sensor processing. 2021 AV Rooster was built off the back of our succesful 2019 EV, ' Chicken' UQ Racing has been in the process of developing an autonomous vehicle (AV) for the Formula Student competition.
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