課程信息
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第 1 門課程(共 4 門)

100% 在線

立即開始,按照自己的計劃學習。

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高級

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

完成時間大約為26 小時

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

英語(English)

字幕:英語(English), 西班牙語(Spanish)
User
學習Course的學生是
  • Machine Learning Engineers
  • Data Scientists
  • Engineers
  • Software Engineers
  • Research Assistants

您將學到的內容有

  • 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

User
學習Course的學生是
  • Machine Learning Engineers
  • Data Scientists
  • Engineers
  • Software Engineers
  • Research Assistants

第 1 門課程(共 4 門)

100% 在線

立即開始,按照自己的計劃學習。

可靈活調整截止日期

根據您的日程表重置截止日期。

高級

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

完成時間大約為26 小時

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

英語(English)

字幕:英語(English), 西班牙語(Spanish)

教學大綱 - 您將從這門課程中學到什麼

1
完成時間為 2 小時

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

10 個視頻 (總計 45 分鐘), 4 個閱讀材料
10 個視頻
Welcome to the Course2分鐘
The Story of Autonomous Vehicles12分鐘
Meet the Instructor, Steven Waslander5分鐘
Meet the Instructor, Jonathan Kelly2分鐘
Meet Diana, Firmware Engineer2分鐘
Meet Winston, Software Engineer3分鐘
Meet Andy, Autonomous Systems Architect2分鐘
Meet Paul Newman, Founder, Oxbotica & Professor at University of Oxford5分鐘
Why Should You Take This Course?2分鐘
4 個閱讀材料
Course Prerequisites: Knowledge, Hardware & Software15分鐘
How to Use Discussion Forums15分鐘
Glossary of Terms10分鐘
How to Use Supplementary Readings in This Course15分鐘
完成時間為 4 小時

Module 1: The Requirements for Autonomy

4 個視頻 (總計 37 分鐘), 3 個閱讀材料, 3 個測驗
4 個視頻
Lesson 2: Requirements for Perception8分鐘
Lesson 3: Driving Decisions and Actions9分鐘
Advice for Breaking into the Self-Driving Cars Industry6分鐘
3 個閱讀材料
Lesson 1 Supplementary Reading: Taxonomy of Driving30分鐘
Lesson 2 Supplementary Reading: Requirements for Perception15分鐘
Lesson 3 Supplementary Reading: Driving Decisions and Actions30分鐘
3 個練習
Lesson 1: Practice Quiz30分鐘
Lesson 2: Practice Quiz30分鐘
Module 1: Graded Quiz50分鐘
2
完成時間為 3 小時

Module 2: Self-Driving Hardware and Software Architectures

5 個視頻 (總計 51 分鐘), 4 個閱讀材料, 1 個測驗
5 個視頻
Lesson 2: Hardware Configuration Design10分鐘
Lesson 3: Software Architecture13分鐘
Lesson 4: Environment Representation8分鐘
The Future of Autonomous Vehicles6分鐘
4 個閱讀材料
Lesson 1 Supplementary Reading: Sensors and Computing Hardware15分鐘
Lesson 2 Supplementary Reading: Hardware Configuration Design30分鐘
Lesson 3 Supplementary Reading: Software Architecture30分鐘
Lesson 4 Supplementary Reading: Environment Representation15分鐘
1 個練習
Module 2: Graded Quiz50分鐘
3
完成時間為 5 小時

Module 3: Safety Assurance for Autonomous Vehicles

8 個視頻 (總計 71 分鐘), 4 個閱讀材料, 1 個測驗
8 個視頻
Lesson 2: Industry Methods for Safety Assurance and Testing17分鐘
Lesson 3: Safety Frameworks for Self-Driving18分鐘
Meet Professor Krzysztof Czarnecki, Safety Assurance Expert1分鐘
Prof. Krzysztof Czarnecki on Assessing and Validating Autonomous Safety: An Impossible Task?3分鐘
Prof. Krzysztof Czarnecki's Lessons from Aerospace: Can the AV Industry Collaborate on Safety?4分鐘
Paul Newman on the Trolley Problem3分鐘
How Companies Approach Autonomous Vehicle Safety5分鐘
4 個閱讀材料
Lesson 1 Supplementary Reading: Safety Assurance for Self-Driving Vehicles1小時
Lesson 2 Supplementary Reading: Industry Methods for Safety Assurance and Testing1小時
Lesson 3 Supplementary Reading: Safety Frameworks for Self-Driving30分鐘
How Many Miles of Driving Would It Take to Demonstrate Autonomous Vehicle Reliability?15分鐘
1 個練習
Module 3: Graded Quiz50分鐘
4
完成時間為 9 小時

Module 4: Vehicle Dynamic Modeling

8 個視頻 (總計 74 分鐘), 7 個閱讀材料, 2 個測驗
8 個視頻
Lesson 2: The Kinematic Bicycle Model8分鐘
Lesson 3: Dynamic Modeling in 2D10分鐘
Lesson 4: Longitudinal Vehicle Modeling11分鐘
Lesson 5: Lateral Dynamics of Bicycle Model7分鐘
Lesson 6: Vehicle Actuation9分鐘
Lesson 7: Tire Slip and Modeling10分鐘
Challenges for the Industry4分鐘
7 個閱讀材料
Supplementary Readings for Module 430分鐘
Lesson 2 Supplementary Reading: The Kinematic Bicycle Model30分鐘
Lesson 3 Supplementary Reading: Dynamic Modeling in 3D30分鐘
Lesson 4 Supplementary Reading: Longitudinal Vehicle Modeling30分鐘
Lesson 5 Supplementary Reading: Lateral Dynamics of Bicycle Model30分鐘
Lesson 6 Supplementary Reading: Vehicle Actuation45分鐘
Lesson 7 Supplementary Reading: Tire Slip and Modeling30分鐘
4.8
91 個審閱Chevron Right

43%

完成這些課程後已開始新的職業生涯

30%

通過此課程獲得實實在在的工作福利

來自Introduction to Self-Driving Cars的熱門評論

創建者 NPSep 23rd 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.

創建者 RRSep 1st 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.

講師

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Steven Waslander

Associate Professor
Aerospace Studies
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Jonathan Kelly

Assistant Professor
Aerospace Studies

關於 多伦多大学

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. ...

關於 自动驾驶汽车 專項課程

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)....
自动驾驶汽车

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