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学生对 University of Toronto 提供的 Introduction to Self-Driving Cars 的评价和反馈

4.7
2,910 个评分

课程概述

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)....

热门审阅

PS

Jul 29, 2021

This is a great course and also a demanding course for future of automobile industry. This course teachs me a lot about the control system of the car which is used in the autonomous control unit.

AP

Jul 27, 2020

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.

筛选依据:

526 - Introduction to Self-Driving Cars 的 550 个评论(共 579 个)

创建者 Bheemishetty S

Sep 23, 2020

a very informative course with best teaching

创建者 Dwith C

Oct 11, 2020

good introduction to self-driving basics

创建者 Gajula V k

Jan 29, 2022

the best way to learn learn new things

创建者 Zain M

Oct 3, 2020

Great learning option for students

创建者 NARAYANA A

May 4, 2020

Modules were good and challenging.

创建者 pranav h

Apr 17, 2023

Very good introductory course!!!

创建者 Ruthvic P

Dec 24, 2021

extremely informative and useful

创建者 Basapuram P

Sep 27, 2020

the course is very useful to me.

创建者 Muneeb J m

Feb 1, 2025

i was very good experience

创建者 Walter F P O

Jan 14, 2021

A bit too fast sometimes.

创建者 蒋阅

May 15, 2020

Need more coding quiz

创建者 Shreyansh S

Jul 23, 2024

VERY WELL EXPLAINED

创建者 AdnanMarol- 2

Dec 16, 2021

Amazing explanation

创建者 KANAKADANDI V C B

Nov 5, 2021

its a good course

创建者 540_Foram S

Nov 27, 2020

it was amazing

创建者 Ismail O

Nov 25, 2019

It was hard

创建者 vikas s

Jul 7, 2020

Was good !

创建者 380 F V R S

Oct 3, 2020

Amazing

创建者 ATHUL S S

Oct 29, 2022

good

创建者 Virat S

Feb 8, 2023

good

创建者 Gurveer D

May 20, 2020

nice

创建者 June P

Sep 9, 2023

I think the first course provides a great overview of autonomous vehicles and what you may need to know if you want to work in this industry. As a complete beginner in AV, I learned a lot about both the hardware and software sides of AV development and the interviews of various professionals in the AV industry were very interesting. It does cover many topics in broad strokes, so while the course description may say it takes about 40 hours to complete this course, expect to spend at least double

Challenges:

(1) This course assumes you have more than a basic understanding of college-level math, physics and engineering (at least you have to know the classical control theory) and Python/familiarity with using a command line environment. Without these, you won't be able to complete the course.

(2) For me, I had to read on the side (books, internet searches, and Youtube) to understand each module better in order to be able to pass the quizzes and complete the programming assignments. The videos are a great overview but it doesn't provide a lot of details while the quizzes/programming assignment require that you mastered the knowledge.

(3) Lack of support. I signed up for this knowing this is a relatively cheap online course and there will be no real support. But as I was doing the final programming assignment and using end-of-life libraries the assignment requires, I didn't know if anybody else has successfully finished the assignment recently or I was bound to fail. The discussion forum is great, but it's not very active, and the way the forum dashboard is built, it's hard to search for the most recent posts.

AV in and itself is a challenging tech that marries several science/math disciplines, so this can't be an "easy" or "entry" thing to study. However, I wish the first course (out of 4) was more maneageable. Having that said, if you have some knowledge in Math and Python and are interested in getting into AV, I highly recommend this course!

创建者 Ali V

Dec 30, 2019

The knowledge about how to implement a PID controller with the high level and low-level controller could not be mentioned enough because there was no exact knowledge about implementing an engine and throttle graph in real applications.

The instructors seemed to want nonlinear MPC controller for the lateral control so that I really hardly worked on to analyze and implement the nonlinear MPC controller but in fact, there is no requirement to implement nonlinear MPC.

Otherwise, the course is really awesome to understand the motion dynamics of a car with an internal combustion engine. Now, I am able to implement both the longitudinal and lateral controller for the car.

创建者 Sachin K

Jul 6, 2020

While the course content is good, it is skinny and it leaves a lot to be expected from the learner. That is ok if one is on the campus and there are people you can talk to and ask questions from the teaching assistant staff. Support for this course on the forums is non existent and expecting students to jump into CARLA and write a simulation loop is quite a leap. Especially when debugging CARLA is next to impossible since putting a breakpoint inturn breaks the connection to the server. The course requires way more smaller steps before throwing the student in the deep end.

创建者 Murtaza B

Feb 28, 2021

Overall a great introduction course. For those entering the field, it gives a nice high-level view of what particular aspect of the self-driving world you might want to focus on or specialize in. It also gives you a modest intro to the Carla simulator. I took 2 stars off as the challenges in the course were less to do with innovation and more to do with navigating a world of notation inconsistencies, python modules being outdated/not supported as well as mismatch between the theory in lecture notes vs assignment expectations.