Udacity – Programming a Robotic Car
English | .MP4 | h264, yuv420p, 854×480, 29.97 fps(r) | aac, 44100 Hz, stereo | 2.06 GBGenre: 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
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