关于此 专项课程
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100% 在线课程

立即开始,按照自己的计划学习。

灵活的计划

设置并保持灵活的截止日期。

高级

完成时间大约为5 个月

建议 7 小时/周

英语(English)

字幕:英语(English), 西班牙语(Spanish)

您将学到的内容有

  • Check

    Understand the detailed architecture and components of a self-driving car software stack

  • Check

    Implement methods for static and dynamic object detection, localization and mapping, behaviour and maneuver planning, and vehicle control

  • Check

    Use realistic vehicle physics, complete sensor suite: camera, LIDAR, GPS/INS, wheel odometry, depth map, semantic segmentation, object bounding boxes

  • Check

    Demonstrate skills in CARLA and build programs with Python

100% 在线课程

立即开始,按照自己的计划学习。

灵活的计划

设置并保持灵活的截止日期。

高级

完成时间大约为5 个月

建议 7 小时/周

英语(English)

字幕:英语(English), 西班牙语(Spanish)

专项课程亮点

学习Specialization的学生是

  • Machine Learning Engineers
  • Data Scientists
  • Engineers
  • Software Engineers
  • Researchers

专项课程的运作方式

加入课程

Coursera 专项课程是帮助您掌握一门技能的一系列课程。若要开始学习,请直接注册专项课程,或预览专项课程并选择您要首先开始学习的课程。当您订阅专项课程的部分课程时,您将自动订阅整个专项课程。您可以只完成一门课程,您可以随时暂停学习或结束订阅。访问您的学生面板,跟踪您的课程注册情况和进度。

实践项目

每个专项课程都包括实践项目。您需要成功完成这个(些)项目才能完成专项课程并获得证书。如果专项课程中包括单独的实践项目课程,则需要在开始之前完成其他所有课程。

获得证书

在结束每门课程并完成实践项目之后,您会获得一个证书,您可以向您的潜在雇主展示该证书并在您的职业社交网络中分享。

how it works

此专项课程包含 4 门课程

课程1

Introduction to Self-Driving Cars

4.8
438 个评分
84 个审阅
课程2

State Estimation and Localization for Self-Driving Cars

4.6
154 个评分
26 个审阅
课程3

Visual Perception for Self-Driving Cars

4.6
96 个评分
11 个审阅
课程4

Motion Planning for Self-Driving Cars

4.8
56 个评分
9 个审阅

讲师

Avatar

Steven Waslander

Associate Professor
Aerospace Studies
Avatar

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. ...

常见问题

  • 可以!点击您感兴趣的课程卡开始注册即可。注册并完成课程后,您可以获得可共享的证书,或者您也可以旁听该课程免费查看课程资料。如果您订阅的课程是某专项课程的一部分,系统会自动为您订阅完整的专项课程。访问您的学生面板,跟踪您的进度。

  • 此课程完全在线学习,无需到教室现场上课。您可以通过网络或移动设备随时随地访问课程视频、阅读材料和作业。

  • 此专项课程不提供大学学分,但部分大学可能会选择接受专项课程证书作为学分。查看您的合作院校了解详情。

  • Each course is intended to take 4-6 weeks, roughly one week per module. At this pace, the entire Specialization will take you 4-6 months to complete.

  • See the list of prerequisites provided in Module 0 of Course 1. The most important ones are familiarity with linear algebra, calculus, probability theory, and kinematic and dynamic modeling. Some exposure to computer vision, AI or robotics is also useful.

  • The courses are mostly independent and self-paced, so it is possible to mix the order of the courses based on your interests. The only exception is that Course 1 provides a valuable overview of an autonomous vehicle in terms of hardware and software, so we recommend starting with Course 1.

  • You will be able to develop basic implementations of all the main components of an autonomous car software stack, including localization and mapping solutions, object detection and drivable surface detection methods, motion planning approaches and vehicle controllers. You'll be ready to enter the industry with a strong overview of the core requirements and challenges in self-driving development, and you'll have experience with simulating these vehicles in the CARLA simulator.

还有其他问题吗?请访问 学生帮助中心