Udacity Nanodegree “Self-Driving Car Engineer”

The table below shows an abbreviated syllabus of the udacity nanodegree “self-driving car engineer”, which I completed successfully. Please follow the links to find my solutions for the assigned projects of the second half of the program. For a more detailed syllabus, go to https://www.udacity.com/course/self-driving-car-engineer-nanodegree--nd013.

Topic	Lessons	Project (with link to my repo)
Introduction	Welcome, Workspaces
Computer Vision	Computer Vision Fundamentals	Finding Lane Lines on a road
	Advanced Computer Vision	Advanced Lane Finding
Deep Learning	Neural Networks, TensorFlow, Deep Neural Networks, Convolutional Neural Networks	Traffic Sign Classifier
	Keras, Transfer Learning	Behavioral Cloning
Sensor Fusion	Sensors, Kalman Filters, C++ Checkpoint, Extended Kalman Filters	Extended Kalman Filters
Localization	Introduction, Markov Localization, Motion Models, Particle Filters	Kidnapped Vehicle
Path Planning	Search, Prediction, Behavior Planning, Trajectory Generation	Highway Driving
Control	PID Control	PID Controller
System Integration	Autonomous Vehicle Architecture, Introduction to ROS, Packages and Catkin Workspaces, Writing ROS Nodes	Capstone project