Вернуться к Introduction to Self-Driving Cars

# Отзывы учащихся о курсе Introduction to Self-Driving Cars от партнера Торонтский университет

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Оценки: 2,212
Рецензии: 449

## О курсе

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)....

## Лучшие рецензии

DP
27 июля 2020 г.

This introduction course really helped me recalling all my basic learning. Really appreciate the Professor. It will definitely help me for enhancing my skills in the field of autonomous driving.

FA
27 июня 2020 г.

This course is awesome ! This is one of the great courses for you who want to learn about self-driving cars for the first time. The assignments are challenging, especially the final project.

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## 101–125 из 445 отзывов о курсе Introduction to Self-Driving Cars

автор: isac r b

16 дек. 2019 г.

excelente course, I'm leaning a lot of things that it's very important for my future. and for the future of the people.

автор: Manish k

6 янв. 2020 г.

nice and very professional course I have taken so far. i think u must take on this course if you are interested in AV.

автор: WANG Q

30 нояб. 2019 г.

It's a meaningful and great journey to start my self-driving study in this course. I learnt a lot and enjoy the study.

автор: Ismael L

23 дек. 2020 г.

Un cours formidable complet et très bien structuré. Des évaluations et tests excellents avec un coté très pratique .

автор: Rajat S

17 дек. 2020 г.

It was a Fun and challenging course to understand insides of self driving cars. I truly enjoyed the Quality content.

автор: Shauvik D

27 апр. 2020 г.

Excellent materials, but not easy to pass the assignment. One have to work hard as this is an advanced level course.

автор: park y

21 сент. 2020 г.

It was a little difficult to solve the program alone, but it was helpful enough. I hope it will help my future job.

автор: Sumit S S

6 авг. 2020 г.

Its a very important course. Instructors explained this course in easy language, this helps to understand faster.

автор: Ajay G

10 июля 2020 г.

Provide good insight to Self Driving Cars. Final project using Carla Simulator is best way to learn and conclude.

автор: Matias B

21 мар. 2021 г.

Real good and clear explanations of all the concepts. The final project was really fun, I really enjoy the curse

автор: Jianqiao L

8 янв. 2021 г.

Comprehensive overview of AD vehicle design and challenges. I can recommend this course to any system engineers.

автор: Dennis M

25 июля 2019 г.

The course is very enlightening. at least I have learnt a lot so far. I wish to continue learning more and more.

автор: Dimitrios P

11 окт. 2020 г.

Excellent introductory course for any engineer interested in getting involved in the self-driving car industry.

автор: Dr. A K R

9 сент. 2019 г.

Course is very nice and having knowledgeable contents. It help me lot to know the secrets of self driving car.

автор: Maxwell D

12 мая 2019 г.

Lots of time and effort was clearly put in to the development of this course - I'm so glad I got to try it out

автор: Harish C C

19 нояб. 2020 г.

Kindly develop some codes which can be ran on all the software versions of the python and other environments.

автор: Imesh S

8 окт. 2019 г.

This course was a great learning experience for me and I learned a lot. Hope to continue the specialization..

автор: David C

25 февр. 2019 г.

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

автор: Elnaz F

3 июня 2020 г.

The best course ever in autonomous vehicles.

Thank you Coursera and also special thanks to the professors.

автор: Hussein A

24 мар. 2020 г.

Great introduction course! Briefly covers the overall autonomous system and focuses on the control system.

автор: Dharmendra

1 дек. 2020 г.

Very effective course. The explanation style, teaching style, course material everything looks perfect.

автор: Mathieu C

14 авг. 2020 г.

Fantastic introduction to self-driving car technology with very valuable hands-on programming experience

автор: 2K18/EE/033 A S

10 апр. 2021 г.

it was a very informative course. I had a great experience and learnt alot of things about self driving

автор: Vinod M

6 дек. 2019 г.

Exceptional Course !! Lot of prerequisites required to complete, Really spend a good time to master it,

автор: Alejandro P C

17 сент. 2019 г.

Very good introduction course in terms of engineering. Would like to hace Deep Learning explanations.