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Overview
Welcome to Motion Planning for Self-Driving Cars, the fourth course in University of Toronto’s Self-Driving Cars Specialization.
This Motion Planning for Self-Driving Cars offered by Coursera in partnership with University of Toronto will introduce you to the main planning tasks in autonomous driving, including mission planning, behavior planning and local planning.
Key facts
- By the end of this course, you will be able to find the shortest path over a graph or road network using Dijkstra's and the A* algorithm, use finite state machines to select safe behaviors to execute, and design optimal, smooth paths and velocity profiles to navigate safely around obstacles while obeying traffic laws.
- You'll also build occupancy grid maps of static elements in the environment and learn how to use them for efficient collision checking.
- This course will give you the ability to construct a full self-driving planning solution, to take you from home to work while behaving like a typical driving and keeping the vehicle safe at all times.
Skills you'll gain
- Algorithms
- Theoretical Computer Science
- Machine Learning
- Applied Machine Learning
- Computer Programming
Programme Structure
Courses include:
- The Planning Problem
- Mapping for Planning
- Mission Planning in Driving Environments
- Dynamic Object Interactions
- Reactive Planning in Static Environments
- Putting it all together - Smooth Local Planning
Key information
Duration
- Part-time
- 2 days
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Campus Location
- Mountain View, United States
Disciplines
Automotive Engineering Human Computer Interaction View 19 other Short Courses in Automotive Engineering in United StatesWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Advanced Level
- Designed for those already in the industry
- To obtain additional information about the programme, we kindly suggest that you visit the programme website, where you can find further details and relevant resources.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
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International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
Additional Details
- Coursera Plus: Subscribe to build job-ready skills from world-class institutions.
- $399/year, cancel anytime or 14-day money-back guarantee
Funding
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.
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