Learned key aspects of autonomous vehicles in the Introduction to Autonomous Vehicles Cluster, including computer vision. Used CAD to 3D-print robot parts. Work in team of 3 to wire up all the electronic components together, configure & upload programs to a Jetson Nano, a single board computer. Used Donkeycar, an open-source platform to train car to detect lanes. Used OpenCV's HaarCascade Classifier to detect a stop sign and determine the distance from it.

Learned about Python programming & introductory autonomous driving algorithms. Delved into machine learning (ML) techniques, such as reinforcement learning. Constructed neural networks with TensorFlow library. Used Kaggle Kernel to share and access code. Explored CARLA, an open-source simulator for autonomous driving.