Udacity - Programming a Robotic Car

English | .MP4 | h264, yuv420p, 854x480, 29.97 fps(r) | aac, 44100 Hz, stereo | 2.06 GB

Genre: E-learning

his class, taught by one of the foremost experts in AI, will teach you basic methods in Artificial Intelligence, including: probabilistic inference, computer vision, machine learning, and planning, all with a focus on robotics. Extensive programming examples and assignments will apply these methods in the context of building self-driving cars.

You will get a chance to visit, via video, the leading research labs in the field, and meet the scientists and engineers who are building self-driving cars at Stanford and Google.

Prerequisites: The instructor will assume solid knowledge of programming, all programming will be in Python. Knowledge of probability and linear algebra will be helpful.

WEEK 1:

Basics of probability

Car localization with particle filters

WEEK 2:

Gaussians and continuous probability

Tracking other cars with Kalman filters

WEEK 3:

Image Processing and Machine Learning

Finding objects in sensor data

WEEK 4:

Planning and search

Determining where to drive with A* search

Finding optimal routes with dynamic programming

WEEK 5:

Controls

Controlling steering and speeds with PID

WEEK 6:

Putting it all together

Programming a self-driving car

WEEK 7:

Final Exam

Exam testing your knowledge