Udacity Self-Driving Car Nanodegree

Term 1: Computer Vision, Deep Learning, and Sensor Fusion

type	name	description
`project`	Finding Lane Lines on the Road	In this project, you will be writing code to identify lane lines on the road, first in an image, and later in a video stream (really just a series of images). To complete this project you will use the tools you learned about in the lesson, and build upon them.
`project`	Advanced Lane Finding	In this project, your goal is to write a software pipeline to identify the lane boundaries in a video from a front-facing camera on a car.
`project`	Traffic Sign Classifier	You just finished getting your feet wet with deep learning. Now put your skills to the test by using deep learning to classify different traffic signs!
`project`	Behavioral Cloning	Put your deep learning skills to the test with this project! Train a deep neural network to drive a car like you!
`project`	Extended Kalman Filters	In this project, you'll apply everything you've learned so far about Sensor Fusion by implementing an Extended Kalman Filter in C++!

type	name	tags
`project`	Kidnapped Vehicle	In this project, you'll build a particle filter and combine it with a real map to localize a vehicle!
`project`	Path Planning Project	In this project, you’ll design a path planner that is able to create smooth, safe paths for the car to follow along a 3 lane highway with traffic.
`project`	PID Controller	In this project you'll revisit the lake race track from the Behavioral Cloning Project. This time, however, you'll implement a PID controller in C++ to maneuver the vehicle around the track!
`project`	Model Predictive Control	In this project, you'll implement Model Predictive Control to drive a vehicle around the track even with additional latency between commands!
`project`	Programming a Real Self-Driving Car!	In this project you will be run your code on Carla, the Udacity self-driving vehicle! You can provide feedback in the project rubric along with links to datasets or videos that you want to provide to the student.