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トロント大学(University of Toronto) による Introduction to Self-Driving Cars の受講者のレビューおよびフィードバック

4.8
910件の評価
185件のレビュー

コースについて

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)....

人気のレビュー

NP

Sep 23, 2019

Very engrossing and interesting course. This is a very intensive course and requires some work on the assignments and projects and hence makes it very satisfying to learn.

RR

Sep 01, 2019

Great learning experience with a lot of references and nicely designed projects to learn from. Look forward to diving deeper into the complete Self Driving Cars course.

フィルター:

Introduction to Self-Driving Cars: 126 - 150 / 188 レビュー

by Ranjitha A G (

May 20, 2020

excellent experience

by Enes E B

Oct 31, 2019

Such a great course!

by Vinay S R

May 06, 2019

This course is tough

by Raviteja

Jun 01, 2020

Recommended Course.

by Deleted A

Jul 14, 2019

Loving the course .

by PENGJI D

May 25, 2020

great experience!

by Julio C B S

Apr 28, 2020

Very interesting!

by Venktesh M E

Apr 29, 2020

Wonderful course

by SRIRAM S V

Sep 15, 2019

Excellent course

by Vishwas N

Apr 23, 2020

awesome course

by Ismail E

Aug 21, 2019

Trés bon cours

by Balam J

Apr 02, 2020

learned a lot

by Bhuvan B

May 02, 2020

Great course

by cuge

Oct 14, 2019

pretty good

by dodiya j r

Feb 20, 2019

nice course

by Juan R O D

Aug 12, 2019

Muy bueno.

by RAHUL R

May 17, 2020

thank you

by Lahcene O M

Sep 12, 2019

very nice

by Yousif W A

May 15, 2020

Thank's

by Osama M M E

Aug 05, 2019

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by Joydeep p

May 02, 2020

Good

by BHAVESH K

May 01, 2020

NICE

by Suresh L

May 24, 2020

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by Salah E D K M S S

Apr 12, 2020

I really enjoyed the final project of this course, it introduced me to a new tool that I haven't dealt with before (CARLA_Simulator).

I would like to share with you my review for this course:

- this course is a good memory refresher for someone with experience in dynamic modelling, control, and autonomous systems; no in-depth explanation in any of the mentioned, however, it provides excellent reading materials.

- Very interesting discussions about safety in autonomous vehicles and the levels of autonomy.

- Excellent explanation of the autonomous vehicles software and hardware stack.

I thought it would be technically more challenging, but it's good and I will proceed to the next course in this specialization, hoping for more challenges and new concepts.