About this Course

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Learner Career Outcomes

43%

started a new career after completing these courses

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Shareable Certificate
Earn a Certificate upon completion
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Advanced Level

This is an advanced course, intended for learners with a background in mechanical engineering, computer and electrical engineering, or robotics.

Approx. 35 hours to complete
English
Subtitles: English, Spanish

What you will learn

  • 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

Learner Career Outcomes

43%

started a new career after completing these courses

30%

got a tangible career benefit from this course
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Advanced Level

This is an advanced course, intended for learners with a background in mechanical engineering, computer and electrical engineering, or robotics.

Approx. 35 hours to complete
English
Subtitles: English, Spanish

Offered by

University of Toronto logo

University of Toronto

Syllabus - What you will learn from this course

Content RatingThumbs Up96%(8,237 ratings)Info
Week
1

Week 1

2 hours to complete

Module 0: Welcome to the Self-Driving Cars Specialization!

2 hours to complete
10 videos (Total 45 min), 4 readings
10 videos
Welcome to the Course2m
The Story of Autonomous Vehicles12m
Meet the Instructor, Steven Waslander5m
Meet the Instructor, Jonathan Kelly2m
Meet Diana, Firmware Engineer2m
Meet Winston, Software Engineer3m
Meet Andy, Autonomous Systems Architect2m
Meet Paul Newman, Founder, Oxbotica & Professor at University of Oxford5m
Why Should You Take This Course?2m
4 readings
Course Prerequisites: Knowledge, Hardware & Software15m
How to Use Discussion Forums15m
Glossary of Terms10m
How to Use Supplementary Readings in This Course15m
4 hours to complete

Module 1: The Requirements for Autonomy

4 hours to complete
4 videos (Total 37 min), 3 readings, 3 quizzes
4 videos
Lesson 2: Requirements for Perception8m
Lesson 3: Driving Decisions and Actions9m
Advice for Breaking into the Self-Driving Cars Industry6m
3 readings
Lesson 1 Supplementary Reading: Taxonomy of Driving30m
Lesson 2 Supplementary Reading: Requirements for Perception15m
Lesson 3 Supplementary Reading: Driving Decisions and Actions30m
3 practice exercises
Lesson 1: Practice Quiz30m
Lesson 2: Practice Quiz30m
Module 1: Graded Quiz50m
Week
2

Week 2

3 hours to complete

Module 2: Self-Driving Hardware and Software Architectures

3 hours to complete
5 videos (Total 51 min), 4 readings, 1 quiz
5 videos
Lesson 2: Hardware Configuration Design10m
Lesson 3: Software Architecture13m
Lesson 4: Environment Representation8m
The Future of Autonomous Vehicles6m
4 readings
Lesson 1 Supplementary Reading: Sensors and Computing Hardware15m
Lesson 2 Supplementary Reading: Hardware Configuration Design30m
Lesson 3 Supplementary Reading: Software Architecture30m
Lesson 4 Supplementary Reading: Environment Representation15m
1 practice exercise
Module 2: Graded Quiz50m
Week
3

Week 3

5 hours to complete

Module 3: Safety Assurance for Autonomous Vehicles

5 hours to complete
8 videos (Total 71 min), 4 readings, 1 quiz
8 videos
Lesson 2: Industry Methods for Safety Assurance and Testing17m
Lesson 3: Safety Frameworks for Self-Driving18m
Meet Professor Krzysztof Czarnecki, Safety Assurance Expert1m
Prof. Krzysztof Czarnecki on Assessing and Validating Autonomous Safety: An Impossible Task?3m
Prof. Krzysztof Czarnecki's Lessons from Aerospace: Can the AV Industry Collaborate on Safety?4m
Paul Newman on the Trolley Problem3m
How Companies Approach Autonomous Vehicle Safety5m
4 readings
Lesson 1 Supplementary Reading: Safety Assurance for Self-Driving Vehicles1h
Lesson 2 Supplementary Reading: Industry Methods for Safety Assurance and Testing1h
Lesson 3 Supplementary Reading: Safety Frameworks for Self-Driving30m
How Many Miles of Driving Would It Take to Demonstrate Autonomous Vehicle Reliability?15m
1 practice exercise
Module 3: Graded Quiz50m
Week
4

Week 4

9 hours to complete

Module 4: Vehicle Dynamic Modeling

9 hours to complete
8 videos (Total 74 min), 7 readings, 2 quizzes
8 videos
Lesson 2: The Kinematic Bicycle Model8m
Lesson 3: Dynamic Modeling in 2D10m
Lesson 4: Longitudinal Vehicle Modeling11m
Lesson 5: Lateral Dynamics of Bicycle Model7m
Lesson 6: Vehicle Actuation9m
Lesson 7: Tire Slip and Modeling10m
Challenges for the Industry4m
7 readings
Supplementary Readings for Module 430m
Lesson 2 Supplementary Reading: The Kinematic Bicycle Model30m
Lesson 3 Supplementary Reading: Dynamic Modeling in 3D30m
Lesson 4 Supplementary Reading: Longitudinal Vehicle Modeling30m
Lesson 5 Supplementary Reading: Lateral Dynamics of Bicycle Model30m
Lesson 6 Supplementary Reading: Vehicle Actuation45m
Lesson 7 Supplementary Reading: Tire Slip and Modeling30m

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About the Self-Driving Cars Specialization

Be at the forefront of the autonomous driving industry. With market researchers predicting a $42-billion market and more than 20 million self-driving cars on the road by 2025, the next big job boom is right around the corner. This Specialization gives you a comprehensive understanding of state-of-the-art engineering practices used in the self-driving car industry. You'll get to interact with real data sets from an autonomous vehicle (AV)―all through hands-on projects using the open source simulator CARLA. Throughout your courses, you’ll hear from industry experts who work at companies like Oxbotica and Zoox as they share insights about autonomous technology and how that is powering job growth within the field. You’ll learn from a highly realistic driving environment that features 3D pedestrian modelling and environmental conditions. When you complete the Specialization successfully, you’ll be able to build your own self-driving software stack and be ready to apply for jobs in the autonomous vehicle industry. It is recommended that you have some background in linear algebra, probability, statistics, calculus, physics, control theory, and Python programming. You will need these 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)....
Self-Driving Cars

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