课程信息
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第 1 门课程(共 4 门)

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

高级

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

完成时间大约为26 小时

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

英语(English)

字幕:英语(English), 西班牙语(Spanish)

您将学到的内容有

  • 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

第 1 门课程(共 4 门)

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

高级

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

完成时间大约为26 小时

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

英语(English)

字幕:英语(English), 西班牙语(Spanish)

课程亮点

featured

参观自动驾驶汽车

了解驾驶以外的更多信息

Steven Waslander 和 Jonathan Kelly 带您深入与了解全面配备雷达、声呐、激光雷达、惯性和视觉传感器的自动驾驶汽车。

学习Course的学生是

  • Machine Learning Engineers
  • Data Scientists
  • Engineers
  • Software Engineers
  • Technical Solutions Engineers

教学大纲 - 您将从这门课程中学到什么

1
完成时间为 2 小时

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

10 个视频 (总计 45 分钟), 4 个阅读材料
10 个视频
Welcome to the Course2分钟
The Story of Autonomous Vehicles12分钟
Meet the Instructor, Steven Waslander5分钟
Meet the Instructor, Jonathan Kelly2分钟
Meet Diana, Firmware Engineer2分钟
Meet Winston, Software Engineer3分钟
Meet Andy, Autonomous Systems Architect2分钟
Meet Paul Newman, Founder, Oxbotica & Professor at University of Oxford5分钟
Why Should You Take This Course?2分钟
4 个阅读材料
Course Prerequisites: Knowledge, Hardware & Software15分钟
How to Use Discussion Forums15分钟
Glossary of Terms10分钟
How to Use Supplementary Readings in This Course15分钟
完成时间为 4 小时

Module 1: The Requirements for Autonomy

4 个视频 (总计 37 分钟), 3 个阅读材料, 3 个测验
4 个视频
Lesson 2: Requirements for Perception8分钟
Lesson 3: Driving Decisions and Actions9分钟
Advice for Breaking into the Self-Driving Cars Industry6分钟
3 个阅读材料
Lesson 1 Supplementary Reading: Taxonomy of Driving30分钟
Lesson 2 Supplementary Reading: Requirements for Perception15分钟
Lesson 3 Supplementary Reading: Driving Decisions and Actions30分钟
3 个练习
Lesson 1: Practice Quiz30分钟
Lesson 2: Practice Quiz30分钟
Module 1: Graded Quiz50分钟
2
完成时间为 3 小时

Module 2: Self-Driving Hardware and Software Architectures

5 个视频 (总计 51 分钟), 4 个阅读材料, 1 个测验
5 个视频
Lesson 2: Hardware Configuration Design10分钟
Lesson 3: Software Architecture13分钟
Lesson 4: Environment Representation8分钟
The Future of Autonomous Vehicles6分钟
4 个阅读材料
Lesson 1 Supplementary Reading: Sensors and Computing Hardware15分钟
Lesson 2 Supplementary Reading: Hardware Configuration Design30分钟
Lesson 3 Supplementary Reading: Software Architecture30分钟
Lesson 4 Supplementary Reading: Environment Representation15分钟
1 个练习
Module 2: Graded Quiz50分钟
3
完成时间为 5 小时

Module 3: Safety Assurance for Autonomous Vehicles

8 个视频 (总计 71 分钟), 4 个阅读材料, 1 个测验
8 个视频
Lesson 2: Industry Methods for Safety Assurance and Testing17分钟
Lesson 3: Safety Frameworks for Self-Driving18分钟
Meet Professor Krzysztof Czarnecki, Safety Assurance Expert1分钟
Prof. Krzysztof Czarnecki on Assessing and Validating Autonomous Safety: An Impossible Task?3分钟
Prof. Krzysztof Czarnecki's Lessons from Aerospace: Can the AV Industry Collaborate on Safety?4分钟
Paul Newman on the Trolley Problem3分钟
How Companies Approach Autonomous Vehicle Safety5分钟
4 个阅读材料
Lesson 1 Supplementary Reading: Safety Assurance for Self-Driving Vehicles1小时
Lesson 2 Supplementary Reading: Industry Methods for Safety Assurance and Testing1小时
Lesson 3 Supplementary Reading: Safety Frameworks for Self-Driving30分钟
How Many Miles of Driving Would It Take to Demonstrate Autonomous Vehicle Reliability?15分钟
1 个练习
Module 3: Graded Quiz50分钟
4
完成时间为 9 小时

Module 4: Vehicle Dynamic Modeling

8 个视频 (总计 74 分钟), 7 个阅读材料, 2 个测验
8 个视频
Lesson 2: The Kinematic Bicycle Model8分钟
Lesson 3: Dynamic Modeling in 2D10分钟
Lesson 4: Longitudinal Vehicle Modeling11分钟
Lesson 5: Lateral Dynamics of Bicycle Model7分钟
Lesson 6: Vehicle Actuation9分钟
Lesson 7: Tire Slip and Modeling10分钟
Challenges for the Industry4分钟
7 个阅读材料
Supplementary Readings for Module 430分钟
Lesson 2 Supplementary Reading: The Kinematic Bicycle Model30分钟
Lesson 3 Supplementary Reading: Dynamic Modeling in 3D30分钟
Lesson 4 Supplementary Reading: Longitudinal Vehicle Modeling30分钟
Lesson 5 Supplementary Reading: Lateral Dynamics of Bicycle Model30分钟
Lesson 6 Supplementary Reading: Vehicle Actuation45分钟
Lesson 7 Supplementary Reading: Tire Slip and Modeling30分钟
4.8
84 个审阅Chevron Right

43%

完成这些课程后已开始新的职业生涯

30%

通过此课程获得实实在在的工作福利

来自Introduction to Self-Driving Cars的热门评论

创建者 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.

创建者 APJun 18th 2019

The best course to amass knowledge on the basics of self-driving cars.\n\nWould recommend it for everyone who meets the pre-requisites of this course.

讲师

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Steven Waslander

Associate Professor
Aerospace Studies
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Jonathan Kelly

Assistant Professor
Aerospace Studies

关于 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. ...

关于 自动驾驶汽车 专项课程

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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