課程信息

530,318 次近期查看

學生職業成果

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
可分享的證書
完成後獲得證書
100% 在線
立即開始,按照自己的計劃學習。
第 1 門課程(共 4 門)
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35 小時
英語(English)
字幕:英語(English), 西班牙語(Spanish)

您將學到的內容有

  • 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

學生職業成果

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
可分享的證書
完成後獲得證書
100% 在線
立即開始,按照自己的計劃學習。
第 1 門課程(共 4 門)
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35 小時
英語(English)
字幕:英語(English), 西班牙語(Spanish)

提供方

多伦多大学 徽標

多伦多大学

教學大綱 - 您將從這門課程中學到什麼

內容評分Thumbs Up96%(6,993 個評分)Info
1

1

完成時間為 2 小時

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

完成時間為 2 小時
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

完成時間為 4 小時
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

2

完成時間為 3 小時

Module 2: Self-Driving Hardware and Software Architectures

完成時間為 3 小時
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

3

完成時間為 5 小時

Module 3: Safety Assurance for Autonomous Vehicles

完成時間為 5 小時
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

4

完成時間為 9 小時

Module 4: Vehicle Dynamic Modeling

完成時間為 9 小時
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

審閱

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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

常見問題

  • Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:

    • The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.

    • The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

  • If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.

  • Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.

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