• Anytime
    Application Deadline
  • 2 months
This Motion Planning for Self-Driving Cars offered by Coursera in partnership with University of Toronto is part of the Self-Driving Cars Specialization.
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The programme

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.   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.

For the final project in this course, you will implement a hierarchical motion planner to navigate through a sequence of scenarios in the CARLA simulator, including avoiding a vehicle parked in your lane, following a lead vehicle and safely navigating an intersection.  You'll face real-world randomness and need to work to ensure your solution is robust to changes in the environment.

Detailed Programme Facts

Programme Structure

Courses include:

  • Welcome to Course: Motion Planning for Self-Driving Cars
  • The Planning Problem
  • Mapping for Planning
  • Mission Planning in Driving Environments
  • Dynamic Object Interactions
  • Principles of Behaviour Planning

English Language Requirements

This programme may require students to demonstrate proficiency in English.

General Requirements

Advanced Level


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.

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

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