The virtual course "Introduction to autonomous cars - Virtual Course - Coursera", is a course with different contents and that offers video classes of Approx. 35 hours to complete. Explore its essential features, and click the orange button to get detailed information on the Coursera e-Learning platform
Welcome to Introduction to Self-Driving Cars, the University of Toronto's first self-driving car specialization course.
This course will introduce you to the terminology, design considerations, and safety assessment of autonomous vehicles.
At the end of this course, you will be able to: - Understand hardware commonly used for self-driving cars - Identify the main components of the self-driving software stack - Program vehicle modeling and control - Analyze security frameworks and current industry practices for vehicle development For the final project in this course, you will develop control code to drive an autonomous car around a race track in the CARLA simulation environment.
You will build longitudinal and lateral dynamic models for a vehicle and create controllers that regulate speed and trajectory tracking performance using Python.
You'll test the limits of your control design and learn the challenges inherent in driving at the limit of vehicle performance.
This is an advanced course, intended for students with backgrounds in mechanical engineering, computer science, and electrical or robotic engineering.
To be successful in this course, you must have programming experience in Python 3.
0, familiarity with linear algebra (matrices, vectors, matrix multiplication, range, eigenvalues and vectors and inverses), statistics (Gaussian probability distributions), calculus, and physics (forces, moments, inertia, Newton's Laws).
You will also need certain hardware and software specifications to effectively run the CARLA simulator: Windows 7 64-bit (or later) or Ubuntu 16.
04 (or later), Intel or AMD Quad-core processor (2,5 GHz or faster),
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University of Toronto
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