Self-Driving-Car Nanodegree

Integration of the perception, planning, and control subsystems of an autonomous vehicle using the Robot Operating System (ROS)

Lateral trajectory control using a PID controller to regulate the steering angle

Highway path planning with jerk minimized trajectories

Tracking the location and heading of a vehicle using a two-dimensional particle filter

Tracking an objects state based on knowledge of its system dynamics and the availability of noisy measurements

Cloning human driving behaviour by end-to-end deep learning with a CNN implemented in Keras

Traffic sign classification with a convolutional neural network build in tensorflow

Lane line detection using computer vision techniques