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上級レベル

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

約27時間で修了

推奨:7 weeks of study, 5-6 hours per week...

英語

字幕:英語

学習内容

  • Check

    Understand commonly used hardware used for self-driving cars

  • Check

    Identify the main components of the self-driving software stack

  • Check

    Program vehicle modelling and control

  • Check

    Analyze the safety frameworks and current industry practices for vehicle development

次における4の1コース

100%オンライン

自分のスケジュールですぐに学習を始めてください。

柔軟性のある期限

スケジュールに従って期限をリセットします。

上級レベル

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

約27時間で修了

推奨:7 weeks of study, 5-6 hours per week...

英語

字幕:英語

シラバス - 本コースの学習内容

1
2時間で修了

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

This module will introduce you to the main concepts and layout of the specialization and discusses the major advances made in the field over the last two decades, highlighting the most recent progress made by major players in terms of safety and performance metrics, where available. ...
10件のビデオ (合計45分), 4 readings
10件のビデオ
Welcome to the Course2 分
The Story of Autonomous Vehicles12 分
Meet the Instructor, Steven Waslander5 分
Meet the Instructor, Jonathan Kelly2 分
Meet Diana, Firmware Engineer2 分
Meet Winston, Software Engineer3 分
Meet Andy, Autonomous Systems Architect2 分
Meet Paul Newman, Founder, Oxbotica & Professor at University of Oxford5 分
Why Should You Take This Course?2 分
4件の学習用教材
Course Prerequisites: Knowledge, Hardware & Software15 分
How to Use Discussion Forums15 分
Glossary of Terms10 分
How to Use Supplementary Readings in This Course15 分
4時間で修了

Module 1: The Requirements for Autonomy

Self-driving cars present an extremely rich and inter-disciplinary problem. This module introduces the language and structure of the problem definition, defining the most salient elements of the driving task and the driving environment....
4件のビデオ (合計37分), 3 readings, 3 quizzes
4件のビデオ
Lesson 2: Requirements for Perception8 分
Lesson 3: Driving Decisions and Actions9 分
Advice for Breaking into the Self-Driving Cars Industry6 分
3件の学習用教材
Lesson 1 Supplementary Reading: Taxonomy of Driving30 分
Lesson 2 Supplementary Reading: Requirements for Perception15 分
Lesson 3 Supplementary Reading: Driving Decisions and Actions30 分
3の練習問題
Lesson 1: Practice Quiz30 分
Lesson 2: Practice Quiz30 分
Module 1: Graded Quiz50 分
2
3時間で修了

Module 2: Self-Driving Hardware and Software Architectures

System architectures for self-driving vehicles are extremely diverse, as no standardized solution has yet emerged. This module describes both the hardware and software architectures commonly used and some of the tradeoffs in terms of cost, reliability, performance and complexity that constrain autonomous vehicle design....
5件のビデオ (合計51分), 4 readings, 1 quiz
5件のビデオ
Lesson 2: Hardware Configuration Design10 分
Lesson 3: Software Architecture13 分
Lesson 4: Environment Representation8 分
The Future of Autonomous Vehicles6 分
4件の学習用教材
Lesson 1 Supplementary Reading: Sensors and Computing Hardware15 分
Lesson 2 Supplementary Reading: Hardware Configuration Design30 分
Lesson 3 Supplementary Reading: Software Architecture30 分
Lesson 4 Supplementary Reading: Environment Representation15 分
1の練習問題
Module 2: Graded Quiz50 分
3
5時間で修了

Module 3: Safety Assurance for Autonomous Vehicles

As the self-driving domain matures, the requirement for safety assurance on public roads become more critical to self-driving developers. You will evaluate the challenges and approaches employed to date to tackle the immense challenge of assuring the safe operation of autonomous vehicles in an uncontrolled public road driving environment. ...
8件のビデオ (合計71分), 4 readings, 1 quiz
8件のビデオ
Lesson 2: Industry Methods for Safety Assurance and Testing17 分
Lesson 3: Safety Frameworks for Self-Driving18 分
Meet Professor Krzysztof Czarnecki, Safety Assurance Expert1 分
Prof. Krzysztof Czarnecki on Assessing and Validating Autonomous Safety: An Impossible Task?3 分
Prof. Krzysztof Czarnecki's Lessons from Aerospace: Can the AV Industry Collaborate on Safety?4 分
Paul Newman on the Trolley Problem3 分
How Companies Approach Autonomous Vehicle Safety5 分
4件の学習用教材
Lesson 1 Supplementary Reading: Safety Assurance for Self-Driving Vehicles
Lesson 2 Supplementary Reading: Industry Methods for Safety Assurance and Testing
Lesson 3 Supplementary Reading: Safety Frameworks for Self-Driving30 分
How Many Miles of Driving Would It Take to Demonstrate Autonomous Vehicle Reliability?15 分
1の練習問題
Module 3: Graded Quiz50 分
4
9時間で修了

Module 4: Vehicle Dynamic Modeling

The first task for automating an driverless vehicle is to define a model for how the vehicle moves given steering, throttle and brake commands. This module progresses through a sequence of increasing fidelity physics-based models that are used to design vehicle controllers and motion planners that adhere to the limits of vehicle capabilities. ...
8件のビデオ (合計74分), 7 readings, 2 quizzes
8件のビデオ
Lesson 2: The Kinematic Bicycle Model8 分
Lesson 3: Dynamic Modeling in 2D10 分
Lesson 4: Longitudinal Vehicle Modeling11 分
Lesson 5: Lateral Dynamics of Bicycle Model7 分
Lesson 6: Vehicle Actuation9 分
Lesson 7: Tire Slip and Modeling10 分
Challenges for the Industry4 分
7件の学習用教材
Supplementary Readings for Module 430 分
Lesson 2 Supplementary Reading: The Kinematic Bicycle Model30 分
Lesson 3 Supplementary Reading: Dynamic Modeling in 3D30 分
Lesson 4 Supplementary Reading: Longitudinal Vehicle Modeling30 分
Lesson 5 Supplementary Reading: Lateral Dynamics of Bicycle Model30 分
Lesson 6 Supplementary Reading: Vehicle Actuation45 分
Lesson 7 Supplementary Reading: Tire Slip and Modeling30 分
4.8
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人気のレビュー

by NTMar 31st 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.

by MDMay 12th 2019

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

講師

Avatar

Steven Waslander

Associate Professor
Aerospace Studies
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Jonathan Kelly

Assistant Professor
Aerospace Studies

トロント大学(University of Toronto)について

Established in 1827, the University of Toronto is one of the world’s leading universities, renowned for its excellence in teaching, research, innovation and entrepreneurship, as well as its impact on economic prosperity and social well-being around the globe. ...

自動運転車の専門講座について

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)....
自動運転車

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