Tutorials

These tutorials provide an introduction to using the Autonomous Driving Platform. Work through them in order to bring your hardware online, collaborate effectively, and iterate on increasingly advanced autonomy stacks.

• Intro to Car Hardware - Bring the platform online, connect over WireGuard, and stream core sensors through Foxglove.
• Building Robots in Teams - Collaborate with your team to learn the basics of ROS2 and create a shared GitHub project.
• Camera Calibration and LiDAR Projection - Calibrate the camera, undistort imagery, and overlay LiDAR points for multi-sensor perception.
• Navigation - Build a map of the environment using SLAM, localize the robot on the map, and navigate to a goal using the ROS2 navigation stack.
• Imitation Learning - Capture synchronized sensor and control logs while driving expert laps for imitation learning.
• Reinforcement Learning for Lane Following - Build a simulation loop and train an RL agent to stay centered in the lane.