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Computer Science
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State Estimation and Localization for Self-Driving Cars

This course is part of Self-Driving Cars Specialization

     
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State Estimation and Localization for Self-Driving Cars

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This Course Includes

  • iconcoursera
  • icon4.7 (809 reviews )
  • icon26 hours (approximately)
  • iconenglish
  • iconOnline - Self Paced
  • iconcourse
  • iconUniversity of Toronto

About State Estimation and Localization for Self-Driving Cars

Learn new concepts from industry experts

Gain a foundational understanding of a subject or tool

Develop job-relevant skills with hands-on projects

Earn a shareable career certificate

What You Will Learn?

  • Understand the key methods for parameter and state estimation used for autonomous driving, such as the method of least-squares.
  • Develop a model for typical vehicle localization sensors, including GPS and IMUs.
  • Apply extended and unscented Kalman Filters to a vehicle state estimation problem.
  • Apply LIDAR scan matching and the Iterative Closest Point algorithm .