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Introduction to Self-Driving Cars, Universidad de Toronto

4.8
135 calificaciones
25 revisiones

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Welcome to Introduction to Self-Driving Cars, the first course in University of Toronto’s Self-Driving Cars Specialization. This course will introduce you to the terminology, design considerations and safety assessment of self-driving cars. By the end of this course, you will be able to: - Understand commonly used hardware used for self-driving cars - Identify the main components of the self-driving software stack - Program vehicle modelling and control - Analyze the safety frameworks and current industry practices for vehicle development For the final project in this course, you will develop control code to navigate a self-driving car around a racetrack in the CARLA simulation environment. You will construct longitudinal and lateral dynamic models for a vehicle and create controllers that regulate speed and path 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 learners with a background in mechanical engineering, computer and electrical engineering, or robotics. To succeed in this course, you should have programming experience in Python 3.0, familiarity with Linear Algebra (matrices, vectors, matrix multiplication, rank, 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 in order to effectively run the CARLA simulator: Windows 7 64-bit (or later) or Ubuntu 16.04 (or later), Quad-core Intel or AMD processor (2.5 GHz or faster), NVIDIA GeForce 470 GTX or AMD Radeon 6870 HD series card or higher, 8 GB RAM, and OpenGL 3 or greater (for Linux computers)....

Principales revisiones

por NT

Mar 31, 2019

There is a steep learning curve for beginners, however if you take the time to learn and understand the content, you can succeed in this course.

por DC

Feb 25, 2019

Great course, very good overview of the field, excellent/challenging/rewarding projects. Highly recommended!

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25 revisiones

por oualid ro

Apr 16, 2019

cours simple et clair merci pour tous

por Akash Chavan

Apr 13, 2019

Excellent introductory course for Self Driving Cars

por Ioannis Refanidis

Apr 09, 2019

Excellent course

por Guruprasad M Hegde

Apr 09, 2019

The programming exercise needs a little more introductory . For someone new its very difficult to follow and adapt and meet the deadlines. This could potentially be demotivating

por Ruoqi Zhang

Apr 08, 2019

Feeling it's hard for me because I only have CS background and know nothing about automatic control. The knowledge in slides is not so clear for a totally fresh man.

Suggest firstly get the introduction of robotics and automatic control then take this course.

por Kevin Menden

Apr 06, 2019

The lectures were a bit hard to follow (can't read the text and listen to the speaker at the same time). Especially the programming assignments were not extremely well documented, making it a bit hard to come up with correct formulas here and there. But it is entirely possible.

But all in all good quality course.

por Jorge Monforte González

Apr 05, 2019

Great first step in the world of self driving cars

por Nigel Tims

Mar 31, 2019

There is a steep learning curve for beginners, however if you take the time to learn and understand the content, you can succeed in this course.

por Sri Sai Abhishake Gopal Dasari

Mar 28, 2019

This is one the best courses that you can find on coursera. This is an ambitious course that has been launched to compete with the udacity's Self driving cars course (atleast that's how I see it) . The instructors are veterans in the field and they some people from the industry (Zoox, Waymo.. etc) to show the big picture. The courses from week 1-3 gives the theoritical introduction about the hardware, software, architectural and safety requirements. Then from the week 4 you can get your hands dirty with application of physics, mathematics in python. ( I had a hard time here) But you'll it if you love learning. It's where all the domains converge from mechanics to programming. I know programming and I started learning the mathematical and physics concepts from other sources. But be informed that the explanation of mechanical concepts is very low as they assume that you posses them. So, if you don't have you will start learning them in parallel with the course.

If you are serious and if you are ready to take the mental work the take the course. It's worth the money and time. All it needs is your hardwork and attention.

por Alex Michael Bizzanelli

Mar 28, 2019

great it was a big help i enjoyed it .