課程信息
29,570 次近期查看

第 4 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

完成時間大約為19 小時

建議:8 hours/week...

英語(English)

字幕:英語(English)

第 4 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

完成時間大約為19 小時

建議:8 hours/week...

英語(English)

字幕:英語(English)

教學大綱 - 您將從這門課程中學到什麼

1
完成時間為 1 小時

Welcome to Course 4: Motion Planning for Self-Driving Cars

4 個視頻 (總計 18 分鐘), 3 個閱讀材料
4 個視頻
Meet the Instructor, Jonathan Kelly2分鐘
3 個閱讀材料
Course Readings10分鐘
How to Use Discussion Forums15分鐘
How to Use Supplementary Readings in This Course15分鐘
完成時間為 2 小時

Module 1: The Planning Problem

4 個視頻 (總計 54 分鐘), 1 個閱讀材料, 1 個測驗
1 個閱讀材料
Module 1 Supplementary Reading10分鐘
1 個練習
Module 1 Graded Quiz50分鐘
2
完成時間為 6 小時

Module 2: Mapping for Planning

5 個視頻 (總計 50 分鐘), 1 個閱讀材料, 1 個測驗
5 個視頻
Lesson 3: Occupancy Grid Updates for Self-Driving Cars9分鐘
Lesson 4: High Definition Road Maps11分鐘
1 個閱讀材料
Module 2 Supplementary Reading1小時
3
完成時間為 4 小時

Module 3: Mission Planning in Driving Environments

3 個視頻 (總計 35 分鐘), 1 個閱讀材料, 1 個測驗
1 個閱讀材料
Module 3 Supplementary Reading1小時
1 個練習
Module 3 Graded Quiz50分鐘
4
完成時間為 2 小時

Module 4: Dynamic Object Interactions

3 個視頻 (總計 36 分鐘), 1 個閱讀材料, 1 個測驗
1 個閱讀材料
Module 4 Supplementary Reading1小時
1 個練習
Module 4 Graded Quiz50分鐘

講師

Avatar

Steven Waslander

Associate Professor
Aerospace Studies
Avatar

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

常見問題

  • 注册以便获得证书后,您将有权访问所有视频、测验和编程作业(如果适用)。只有在您的班次开课之后,才可以提交和审阅同学互评作业。如果您选择在不购买的情况下浏览课程,可能无法访问某些作业。

  • 您注册课程后,将有权访问专项课程中的所有课程,并且会在完成课程后获得证书。您的电子课程证书将添加到您的成就页中,您可以通过该页打印您的课程证书或将其添加到您的领英档案中。如果您只想阅读和查看课程内容,可以免费旁听课程。

還有其他問題嗎?請訪問 學生幫助中心