Autonomous Robots: Kalman Filters | Daniel Stang | Skillshare

Autonomous Robots: Kalman Filters

Daniel Stang, Robotics Engineer

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17 Videos (2h 5m)
    • Course Preview

      1:28
    • Intro

      12:30
    • Filtering Basics

      5:42
    • Kalman Toy

      9:44
    • Assignment 1 Intro

      3:58
    • Assignment 1 Walkthrough

      3:59
    • Kalman Filter Full Implementation

      29:59
    • Assignment 2 Intro

      4:11
    • Assignment 2 Walkthrough

      3:27
    • Kalman Filter 2D

      5:46
    • Assignment 3 Intro

      5:40
    • Assignment 3 Walkthrough

      4:02
    • Kalman Prediction

      13:29
    • Assignment 4 Intro

      3:49
    • Assignment 4 Walkthrough

      6:29
    • Assignment 3 Bonus

      5:05
    • Outro

      5:40

About This Class

Learn about writing software for an autonomous robot by implementing a Kalman Filter on a self-driving car in Python!

In this course you will learn not only how Kalman Filters work, but why are needed in the first place. You will get to write actual code that will have to perform well in simulations designed to mimic a real self-driving car. No previous experience in linear algebra or software is required. All code is written in Python which is a very easy language to get up and running even with limited to no software experience.

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Daniel Stang

Robotics Engineer

Hello, I'm Daniel.

I have a masters degree in Mechanical Engineering which I earned for my research in control system design for automotive applications. At my most recent job I was responsible for designing motion controllers and stabilization systems for military tank turrets.

I currently write robotic software for a startup based out of Toronto Canada.

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Technology Python Data Science Robotics
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