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DEMO - Programming a Robotic Car
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Superadmin | 31.05.17 | 472 | No Rating | |
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DEMO - Programming a Robotic Car Description: This 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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