detect highway lane lines from a video stream
implement and train a convolutional neural network to classify traffic signs
architect and train a deep neural network to drive a car in a simulator
detect lane lines in a variety of conditions, including changing road surfaces, curved roads, and variable lighting
detect vehicles in a video from a front-facing camera on a car
implement Extended Kalman Filter (EKF) and Unscented Kalman Filter (UKF) for sensor fusion
implement a particle filter to take real-world data and localize a lost vehicle
implement a PID controller to race around the lake track
implement Model Predictive Control to drive the car around the track